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Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach on-campus courses in the Master of Information Management and Systems. We seek exceptional instructors with professional and/or academic expertise who can teach courses for I School doctoral and master's level students and other UC Berkeley graduate students in related fields, as well as undergraduate courses. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.

Applicants will be selected from this pool for the academic year (including summer sessions), when there is curricular need. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. This is a primarily in-person role that typically requires physical presence on the UC Berkeley campus, although alternative modalities may be authorized for instruction when conditions require.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in cybersecurity.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of information leaders, we encourage you to join our exceptional instructional team.

Designing and Delivering Engaging Classes: Plan and lead dynamic in-person sessions emphasizing active learning. Facilitate meaningful discussions, group activities, and hands-on exercises that deepen students' understanding and application of key concepts.

Creating a Cohesive Course Experience: Develop a comprehensive syllabus outlining learning objectives, assessments, assignments, and expectations. Ensure all course elements, including lectures, materials, and activities, align with program goals and foster a cohesive student learning experience.

Facilitating Student-Centered Learning: Provide personalized support through office hours, one-on-one meetings, and guidance throughout the semester to address individual student needs and ensure academic success.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, thoughtful, and actionable feedback on student assignments, projects, and assessments to promote continuous improvement and mastery of course competencies.

Managing Course Operations: Organize and communicate key course components, such as schedules, assignments, grading policies, and classroom logistics, to ensure a smooth learning experience for all students.

Collaborating with Instructional Teams: Participate actively in team meetings to share teaching strategies, address challenges, and ensure alignment on instructional practices. Attend faculty meetings to stay connected with program initiatives and goals.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please Note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to determine whether applications are currently being reviewed. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program: programs/mims

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/info

A bachelor's degree (or equivalent international degree).

Minimum of 4 years professional experience in the relevant field.

Minimum of 2 years experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

10 + years of professional experience in Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

Multiple years of demonstrated excellence in teaching college-level courses.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Professional and teaching experience in at least one of the following core areas (please see course descriptions online):

• 
  
• Algorithmic Fairness and Bias Mitigation
  
• Blockchain and Decentralized Systems
  
• Cloud Computing and Scalability
  
• Cybersecurity and Information Assurance
  
• Data Analysis and Visualization
  
• Data Engineering and Analysis
  
• Digital Ethics and Societal Impact
  
• Digital Transformation in Organizations
  
• Ethical Technology and Responsible AI
  
• Generative AI and Its Applications
  
• Human-AI Collaboration
  
• Human-Computer Interaction (HCI)
  
• Information Policy
  
• Machine Learning
  
• Natural Language Processing (NLP)
  
• Privacy-Preserving Technologies
  
• Product Management
  
• Smart Cities and Urban Informatics
  
• Social and Technical Innovation in Entrepreneurship
  
• User-Centered Design
  
• Other Areas of Information Science and Systems
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This may include, for example, fostering student success, connecting theory to practice, contributions to advancing an inclusive learning environment for all students, facilitating student-centered learning, or practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise, and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Role: Product Cybersecurity Engineer - Domain Lead

Location: Plano, Texas (Hybrid)

Duration: Long Term Contract

Description:

The Product Cybersecurity Domain Lead is responsible for leading cybersecurity efforts across the connected vehicle ecosystem. This role ensures security is embedded throughout the product lifecycle, from development to deployment, by leveraging deep technical expertise and strategic thinking. The position involves collaboration with global stakeholders, executive briefings, and the development of innovative solutions to complex cybersecurity challenges.

Essential Functions:

Provide technical cybersecurity expertise across assigned domains of the connected vehicle ecosystem, proactively identifying and solving problems.

Lead strategic cybersecurity initiatives, acting as a business partner to senior leadership and contributing to long-term competitiveness.

Develop and implement secure-by-design methodologies, ensuring compliance and alignment with business objectives.

Conduct value-added research and analysis to inform cybersecurity strategies and solutions.

Communicate cybersecurity risks, countermeasures, and residual risks to executives and stakeholders.

Collaborate with internal and external development teams to assess and mitigate risks in systems, software, and hardware.

Lead debugging and architectural changes in collaboration with global teams and suppliers.

Requirements:

Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or related field; advanced degree preferred.

Minimum 6+ years of cybersecurity experience, ideally in IoT-based domains.

Hands-on experience in software development and technical leadership.

Expertise in embedded systems and connected components (e.g., cloud, mobile).

Strong understanding of cybersecurity principles and operational support.

Experience with executive-level communication and strategic planning.

We are supporting a leading global life sciences organization with the addition of an IT QC Systems Analyst to support Quality Control (QC) laboratory operations at a regulated manufacturing site in Worcester, MA.

This is a hands‑on, onsite role focused on laboratory systems support, validation, data integrity, and process optimization within a GMP environment.

This role partners closely with laboratory, operations, and enterprise IT teams to ensure systems remain compliant, reliable, and optimized to support daily QC activities.

Contract Details:

• Duration: 12 months
• Work Type: Onsite (Worcester, MA)
• Pay: Competitive hourly rates (W2 or C2C available)

Key Responsibilities:

• Provide technical and operational support for QC laboratory systems, instruments, and associated software in a GMP environment.
• Support validation activities and documentation, including SIQ, SOQ, spreadsheet validation, and periodic validation reviews (PVRs).
• Develop, maintain, and troubleshoot Excel spreadsheets and macros to streamline data processing, reporting, and compliance activities.
• Perform Windows upgrades, PC decommissions, software installations, and system upgrades for lab and operations computers.
• Support digital transformation initiatives by gathering requirements and feeding improvements to enterprise IT teams.
• Assist with process optimization, elimination of manual workflows, and data integrity assurance across laboratory operations.
• Support and administer operational systems such as SAP, Infor, and MES platforms (including POMS).
• Install and support Acronis and NuGenesis software on laboratory PCs.
• Provide support related to OSI PI / data historian systems as needed.

Required Qualifications:

• 3+ years of experience supporting QC laboratory systems or applications in a GMP environment.
• Strong experience with Excel, including macro development and troubleshooting.
• Working knowledge of validation processes and documentation (SIQ, SOQ, spreadsheet validation).
• Experience supporting QC lab instruments, lab software, and Windows‑based systems.
• Hands‑on experience with Windows OS installations, upgrades, and system support.
• Familiarity with enterprise operational systems such as SAP, Infor, or MES (POMS).
• Strong problem‑solving, communication, and organizational skills.

Preferred Experience:

• Background in life sciences, pharmaceutical, or biotech environments.
• Prior experience supporting QC labs in regulated manufacturing settings.
• Experience with ITIL and GAMP frameworks.
• Exposure to Waters Empower, OSI PI, or similar data historian platforms.
• Experience with PowerApps, Power BI, SharePoint administration, or cloud platforms (AWS/Azure).
• Knowledge of Python, Java, or SDLC concepts is a plus.

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent hands‑on experience.

Why This Role:

• This position plays a critical role in maintaining compliance, reliability, and operational excellence within QC laboratories. You’ll work closely with lab users, IT teams, and stakeholders to ensure systems support high‑quality manufacturing and continuous improvement.

Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.

California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Position Overview

Join an excellent team of researchers dedicated to coming closer to the mission of St. Jude Children’s Research Hospital, that no child will die at the dawn of life. The QAI4Bio (Quantum AI for Biology) Lab led by Dr. Christoph Gorgulla within the Center of Excellence for Data-Driven Discovery in the Structural Biology Department of St. Jude seeks a skilled and highly motivated wet lab Scientist or Postdoc with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing, quantum chemistry and quantum computing. Our lab also includes a wet lab dedicated to experimentally verifying the computationally predicted results in real-world drug discovery projects. St. Jude was named #2 on Forbes America's Dream Employers 2026 ( ).

As a (wet lab) Scientist or Postdoc, you will play a pivotal role in our team. This position is at the frontier of drug discovery, focusing to a large extend on the experimental validation of protein-ligand interactions. We will be targeting proteins associated with a range of areas, including epigenetic regulation, cancer, and other areas. You will work on producing high-quality proteins, designing and performing binding assays by biophysical methods (SPR, MST, ITC, BLI) or Fluorescence-based (i.e. FP, TR-FRET) methods, and optimizing workflows for ligand discovery. Depending on your skills, you might also work on structural studies (NMR, X-ray, cryo-EM, …) and use the state-of-the-art core facilities and centers dedicated to structural studies at St. Jude. In your role as lab manager you will be in charge of the day-to-day operations of the wet lab. Our lab is new, and you will be the first full-time team member in our wet lab. In addition, there is the “dry lab” where the computational/theoretical researchers will be located. 

In our lab, you will have the opportunity to lead collaborative projects, mentor junior scientists and students, and contribute to high-impact publications. Collaboration is at the heart of our work, and you will closely work with our computational and other wet-lab colleagues to validate and experimentally verify the predicted hit and lead compounds. By working together in a collaborative and intellectually stimulating environment, you will have the opportunity to contribute to multiple ligand/drug discovery projects and make a lasting impact on the lives of children and the world.

Preferred starting date: Spring 2026

Job Responsibilities

• Leading the wet lab experiments of our ligand/drug discovery projects with minimal to moderate supervision.
• Protein Production: Express and purify target proteins of interest, predominantly using bacterial expression systems, and in cases needed insect, or mammalian systems. Ensure production meets quality standards for downstream structural and functional studies.
• Binding Assays: Design and execute ligand-binding experiments, with a focus on biophysical assays and fluorescence-based assays, but also including cell-based assays. Optimize assay conditions for robust and reproducible results.
• Wet Lab Leadership/Management: Manage day-to-day operations of the wet lab. Mentoring and training wet lab members, including postdocs, graduate students, and technicians. Oversee equipment maintenance and inventory of reagents.
• Identify, process, organize, summarize, review, and report relevant data.
• Interacting with computational team members (who will mostly identify the hit and lead compounds computationally).
• Manuscript preparation, submission, and the review process will be part of the responsibilities (under the supervision of the PI), ensuring that the lab’s findings are disseminated to the scientific community.
• Actively collaborate with interdepartmental teams, fostering interdisciplinary approaches to solving complex scientific challenges.
• Present research findings to internal and external audiences (e.g. conferences), contributing to the hospital’s mission of advancing pediatric research.

About St. Jude

St. Jude Children’s Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. The first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children. Our 300 faculty work across the spectrum of basic, translational, clinical, and population science in a highly collaborative multidisciplinary environment that includes a Nobel laureate and members of the National Academy of Science and the National Academy of Medicine. St. Jude is ranked on Fortune Magazine’s “Best Workplaces in Health Care & Biopharma” and Glassdoor’s “Best Places to Work”. St. Jude is one of the best-funded research institutes in the US with an annual budget of over $2 billion per year ( ).

What We Will Offer You

Working at St. Jude is a remarkable experience in many ways, and you will be provided with many special perks.

• Mission and Purpose: At St. Jude, working is more than just a job — it’s a calling. Each member of St. Jude is united by a shared purpose: finding cures and saving children. In addition to the meaningful work you will undertake, we offer a range of perks to enhance your experience.
• Community and Belonging: St. Jude is like a warm family that welcomes you, to a large part because it is a Children’s hospital.
• The Best of Both Worlds – Industry and Academia: St. Jude provides academic freedom in research and industrial efficiency and resources. We have access to world-class shared resources/facilities led by expert scientists, coupled with state-of-the-art technology and funding, accelerating research productivity.
• World-Class Benefits: St. Jude offers a world-class benefits package ( ). Enjoy comprehensive healthcare, a competitive salary, tuition assistance for continued education, and exceptional work-life balance with ample paid time off.
• Professional Growth: You will have access to opportunities to enhance your professional growth in terms of scientific skills, soft skills, and your career (St. Jude has well defined career path).
• Diversity: St. Jude is dedicated to fostering an inclusive and diverse scientific community, where everyone’s contributions are valued. More information is available here.
• Competitive Compensation: Embark on your journey with a competitive salary (depending on experience) comprehensive benefits and generous relocation assistance, reflecting our commitment to recognize and invest in talent. Furthermore, in Memphis/Tennessee, there is no income tax.
• Personalized Guidance: Dr. Gorgulla is committed to providing hands-on mentorship tailored to your needs and career aspirations. Whether you are refining scientific techniques or soft skills, you will have his full support.
• Modern Buildings and Spaces: Our research group and wet lab is located in the newest building of the campus, the Inspiration 4 – Advanced Research Center, that cost of $400 million to construct. 
• Additional Perks: St. Jude offers many special perks, such as an on-site gym, an employee pharmacy, and many others. To learn more about the unexpected perks of working at St. Jude, visit our website at  Employer

  
  

  • St. Jude Named #2 on Forbes America's Dream Employers: Jude is a Top Employer for Women: St. Jude is also among the top 10 employers for women in the US:  Jude is a high school and college students’ top “dream employer”: According to the National Society of High School Scholars (NSHSS) 2018 Career Interest Survey:  .

  
  

  About Memphis

  
  

  St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city at the historic American crossroads of music, trade, food, and culture. Living in Memphis provides several unique advantages, including:

  
  

  • Breathtaking Nature: Memphis provides unique nature and scenery, such as the Mississippi (the largest river in the US) or Shelby Farms Park, with which 4,500 acres is one of the largest urban parks in the country. See   for more details.
  • Its Culture: It is for instance the home of Elvis Presley. See   for more details on the cultural aspects.
  • It’s Affordability: Memphis is one of the most affordable cities in the US, meaning the same income will bring you farther than in other places in the US (for more details, see  ).

  
  

  For a video with testimonials about how new St. Jude members experienced Memphis, see here: (depending on experience)

• St. Jude offers a generous moving allowance to cover your costs related to your move to Memphis.
• St. Jude provides temporary housing at reduced costs for several months after your move. 

Requirements

• PhD in chemistry, biochemistry, biophysics or structural biology, drug discovery, or a related area.

How to Apply

If you are interested in the above position, please apply via LinkedIn and submit:

• Cover letter (PDF format, "FirstName LastName - CĹ.pdf", sent via LinkedIn Message)
• CV (PDF format, named as "FirstName LastName - CV.pdf", sent via LinkedIn Application System)

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY

This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes

• 
  
• Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  
• Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  
• Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  
• Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  
• Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
  

ESSENTIAL DUTIES AND RESPONSIBILITIES

• 
  
• Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  
• Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  
• Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  
• Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  
• Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  
• Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  
• Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  
• Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  
• Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  
• Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  
• Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  
• Develop and implement metrics needed to monitor/ report on data governance and data management progress
  
• Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  
• Performs other duties as assigned.
  

SUPERVISORY RESPONSIBILITIES

Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and EXPERIENCE

Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.

• 
  
• 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  
• 5 or more years of related experience in related industry; commercial real estate management preferred.
  
• 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  
• Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  
• Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
  
  

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• Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
  

CERTIFICATES and/or LICENSES

None

COMMUNICATION SKILLS

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• Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  
• Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  
• Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  
• Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  
• Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
  

FINANCIAL KNOWLEDGE

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• Requires basic knowledge of financial terms and principles.
  
• Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  
• Manages to and oversees department budget.
  

REASONING ABILITY

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• Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
  
  • 
    
  • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    
  • Demonstrated ability to balance long-term strategy with quick wins.
    
  • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    
  • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    
  • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    
  • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    
  • Ability to tell a story to explain or sell a concept.
    
  
  
  

OTHER SKILLS and/or ABILITIES

• 
  
• Utilizes an entrepreneurial approach and develops innovative solutions.
  
• Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  
• Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  
• Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  
• Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  
• Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  
• Experience managing small to mid-size teams and delivering results.
  
• Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  
• Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  
• Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  
• Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  
• Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  
• Skills in MS Visio, Word and PowerPoint is a plus.
  
• Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  
• Software development lifecycle knowledge, with background in agile philosophies and
  

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

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• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job Summary:

Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.

Duties:

• Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
• Participate in data scraping, data curation and data compilation efforts
• Ensure high quality of the data to end users
• Ensure high quality of the inhouse data via data stewardship
• Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
• Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
• Define data quality rules and implement automated monitoring, reporting, and remediation solutions
• Coordinate intake and resolution of data support tickets
• Support data migration from legacy systems, data inserts and updates not supported by applications
• Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
• Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
• Create mapping documents and templates to improve existing manual processes
• Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
• Help answer questions from the end-users and coordinate with technical resources as needed
• Build prototype SQL and continuously engage with end consumers with enhancements

Desired Skills/Experience:

• Bachelor's Degree in Computer Science, Engineering, Science, or other related field
• Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
• Applied experience with querying SQL and/orNoSQL databases
• Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
• Data Warehousing experience
• Strong written and verbal communication skills
• Comfortable balancing demands across multiple projects / initiatives
• Ability to identify gaps in requirements based on business subject matter domain expertise
• Ability to deliver detailed technical documentation
• Expert level experience in relevant business domain
• Experience managing data within SAP
• Experience managing data using APIs
• Big Query experience

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

TITLE: HR Operations Specialist (Korean Bilingual)

POSITION TYPE: Full Time (W2)

LOCATION: Mountain View, CA

(Candidates located in San Francisco, CA cannot be considered for this position at this time.)

ABOUT WorldLink:

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

For more information about our craft, visit .

WHO we’re looking for:

We are looking for an HR Operations Specialist who is fluent in English and Korean to join our team.

Role and Responsibilities:

• Operate the HR process for all dispatchers.
• Provide support for new dispatcher’s settlements.
• Review and Maintenance of Guideline Documents.
• Compile periodic analysis reports related to HR data.
• Respond to miscellaneous requests from the teams.
• Manage office events and assist in event planning/organization, for example all-hands meeting, happy hours, team building events.
• Perform other tasks as assigned.

Required Experience and Education:

• 3-5 years' experience working HR roles is required (preferably in tech companies).
• U.S. College degree required (BA is preferred).
• Computer/IT/Microsoft Office experience required, using Excel is preferred.
• HR experience with Compensation Analysis/Salary Determination is preferred.
• HR experience with Immigration is preferred.

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking Software Engineers–Simulationto support ourSimulation Frameworks, Services and Tools deployments team located inBerkeley, Missouri.This position will focus on supporting the Software Fabric / Boeing Emulation, Simulation, Test and Analysis Framework (BESTAF) business organization

This position will be a software development role on the Simulation Frameworks, Services, and Tools (SFST) deployment team that provides simulation software across the Boeing enterprise. The suite of tools support software verification, hardware verification, flight trainers, and warfare scenario simulation. The successful candidate will coordinate with commercial, defense, and other customers for requirements.

The candidate will participate in small developmental teams – and sometimes independently – to implement those requirements. Agile methodologies such as sprint planning, scrums, retrospectives, and demonstrations are expected.

The candidate should enjoy working collaboratively with others, have a commitment to customer satisfaction and process improvement, and be successful working in a multi-program environment. They will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. They should be adaptable to new development environments and eager to work with and learn new technologies.

Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers.

Position Responsibilities:

• Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle
• Partners with stakeholders to review and identify simulation requirements and dynamics of the systems being simulated
• Performs design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities
• Performs data collection and processing for use in simulations
• Validates, verifies, and refines simulation software code, models, simulations, test procedures and test environments, executing test procedures and documenting test results and models against real-world data, test data, benchmarks, or other similar models
• Documents and maintains technical code, algorithms, specifications and descriptions of simulation models
• Partners with cross functional engineering teams to enable integration of simulation software with hardware devices and systems
• Implements current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment
• Modernizes, migrates, sustains, and updates simulation software to adapt legacy systems to new operating systems
• Performs simulation software project management functions

Basic Qualifications (Required Skills/ Experience):

• 4+ years of experience in software programming with C, C++, C#, .NET coding, debug, and development
• 2 + years of experience in software programming with Python

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
• Level 3: 3 or more years' related work experience or an equivalent combination of education and experience
• Level 4: 5 or more years' related work experience or an equivalent combination of education and experience
• 4 or more years' related work experience or an equivalent combination of education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience
• 2 or more years' experience in software programming with Rust
• Active Security Clearance
• Experience with embedded software and hardware interfacing-software
• Experience working across software-interface boundaries, including hardware, firmware, and software (Including technical coordination with interfacing teams)
• Experience handling multiple projects simultaneously
• Decision making abilities to complete efforts with minimal requirements definition
• Experience in software development in Visual Studio
• Experience with avionics and Ethernet communication protocols
• Experience with Agile Methodology
• Experience with Git, Continuous Integration, Cloud Computing technologies

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Travel:

10%

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Associate Level (Level 2): $98,600 - $133,400

Summary pay range for Experienced Level (Level 3): $123,250 - $166,750