Applied Cloud Computing Review Jobs Remote Jobs in Usa

We are looking for a Cloud Computing Specialist (CCS) to join our team in support of a DoD customer in Alexandria, VA. The CCS will serve as an Information Assurance and Cloud Computing SME with regards to Certification and Accreditation (C&A) and a broad coverage of the application of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) standards and guidance as outlined in the NIST Special Publication(s) (SP) 800-53 and 800-37 (current versions).

Responsibilities Include:

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• Provide full lifecycle Information Assurance (IA) support for systems maintaining current Authority to Operate (ATO) under RMF via eMASS.
  
• Update, maintain, and validate RMF artifacts, IA documentation, scorecards, and accreditation packages.
  
• Develop, manage, and execute POA&M, MOUs/MOAs, risk acceptance documentation, and other compliance artifacts.
  
• Ensure continuous compliance with DoD/DLA RMF requirements supporting ATO and Authority to Connect (ATC).
  
• Support RMF Assessment & Authorization (A&A) processes and validate eMASS inputs.
  
• Conduct annual risk assessments and IA control validations.
  
• Review engineering projects and change requests to ensure implementation of required IA controls and policies.
  
• Support connection approval processes and manage required documentation.
  
• Identify security risks and enhancements; develop and track mitigation strategies.
  
• Evaluate and recommend security components and configurations (e.g., firewalls, IDS/IPS).
  
• Provide IA input to Technical Review Boards (TRB) and Change Control Boards (CCB).
  
• Support DLA CERT, network engineering, and NTS teams on IA compliance and security event response.
  
• Maintain situational awareness of USCYBERCOM alerts/advisories and assess operational impact.
  
• Analyze proposed IT acquisitions for IA, interoperability, architecture, and standards compliance; identify required security configuration guidance.
  
• Support DISN sub-network accreditation to achieve/maintain full ATO and ATC.
  
• Plan and execute IA requirements for technology migrations affecting accredited systems.
  
• Implement and maintain information protection guidance for controlled unclassified and classified information in accordance with DoD/DLA policy.
  

Required Skills, Qualifications and Experience:

• 
  
• Minimum Requirement:
  
  • 
    
  • Five (5) years of relevant C&A experience; Risk Management Framework (RMF) and NIST C&A experience
    
  • DOD IA experience.
    
  
  
  
• Certification Requirements:
  
  • 
    
  • Cloud Computing Security Certification
    
  • Certification meeting DOD 8570.01 IAM III (CISSP, CISM, etc.)
    
  
  
  
• Skills and Experience:
  
  • 
    
  • Experience in assessing IA Controls and conducting C&A reviews for large, complex Information systems.
    
  • Ability to work independently with substantial cloud computing security knowledge.
    
  • Must have the essential skillsets to identify, manage and resolve cloud computing security risk and implement "best practices" as applied within a cloud environment (across all of the different deployment and service models, and derivatives).
    
  • Must be well versed in FedRAMP assessment methodology of security and privacy controls deployed in cloud information systems to include six (6) domain areas. The six domains include: Architectural Concepts & Design Requirements, Cloud Data Security, Cloud Platform & Infrastructure Security, Cloud Application Security, Operations, Legal & Compliance.
    
  
  
  
• Clearance Requirement:
  
  • 
    
  • This position requires a SECRET with a Tier 3 investigation.
    
  
  
  

Compensation: $100,000+

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

• 
  
• 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  
• Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  
• 401(k) with Match: We match 3% of your contributions with immediate vesting.
  
• Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  
• Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  
• Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  
• Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  
• Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  
• Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.
  

At AGE, you'll do work that matters, supported by a company that delivers for its people.

About Keyfactor

Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Title: Associate Cloud Engineer

Location: United States; Remote, EST or CST (hybrid if local to Cleveland, OH or Atlanta, GA)

Experience: Associate

Job Function: Cloud Operations

Employment Type: Full-Time

Industry: Computer and Network Security

About the position

The Associate Cloud Engineer supports the operation and maintenance of the organization's cloud infrastructure by executing defined tasks and following established procedures and security best practices.

This role contributes to day-to-day operational activities, including infrastructure deployment, monitoring, patching, and incident triage, while building hands-on experience in a production cloud environment.

Applicants must reside in the United States. US Citizenship required.

Responsibilities

Infrastructure as Code (IaC)

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• Has hands-on exposure to Infrastructure as Code toolsets used to deploy cloud infrastructure
  
• Works with low-complexity infrastructure code, including writing or enhancing existing definitions
  
• Seeks guidance from more senior engineers for non-routine work
  
• All changes are reviewed prior to implementation
  

Configuration

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• Works with service management and configuration tools to support server configuration
  
• Has exposure to low-complexity configuration code and established configuration patterns
  
• Non-routine configuration changes require guidance and review from senior team members
  

Task Automation

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• Applies foundational scripting knowledge using tools such as REST APIs, Azure Automation Runbooks, Azure Function Apps, and DevOps pipelines
  
• Supports low-complexity automation tasks
  
• All automation work is reviewed before implementation
  

Networking

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• Applies foundational knowledge of general and cloud networking concepts to support a secure hosting environment
  
• Implements networking changes that have been reviewed and approved
  

Monitoring & Alerting

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• Works with Azure Monitor and related alerting capabilities, including alert rules, action groups, and log analytics
  
• Supports monitoring configuration changes under guidance
  

Patch Management

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• Participates in patch management activities and routine maintenance efforts
  
• Troubleshoots common patching issues and escalates complex cases as needed
  

PKI Knowledge

• 
  
• Has limited exposure to PKI concepts and the Cloud Engineering role in supporting PKI operations
  
• Performs routine PKI tasks using documented procedures
  
• All PKI-related work is reviewed prior to implementation
  

Product Knowledge

• 
  
• Has exposure toKeyfactor'shosted products and core functionality
  
• Deploys and configures products to a baseline level using documented instructions
  
• Performslow-complexitytroubleshooting with review before changes are applied
  

Minimum Qualifications, Education, and Skills

• 
  
• High School Diploma orequivalent experience
  
• Up to 2 years of related work experience and general knowledge within their functional area
  
• Working knowledge of Microsoft Azure, including native services and tooling
  
• Hands-onexperience with Infrastructure as Code (IaC) and configuration management tools
  
• PowerShell scripting (medium complexity)
  
• Hands-on experience with Windows systems administration, including Windows Roles & Features and Active Directory
  
• Problem-solving skills (low to moderate complexity), with the ability to troubleshoot low to moderately complex issues
  
• Effectivewritten and verbal communication skills with a professional demeanor
  
• Organizational, time-management, and attention-to-detail skills
  
• Ability to collaborate effectively within a team environment
  
• Self-motivated with the ability to complete projectsin a timely manner
  
• Able to thrive in a fast-paced,deadline drivenenvironment. #LI-NA1
  

Compensation

Salary will be commensurate with experience.

Culture, Career Opportunities and Benefits

We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.

Here are just some of the initiatives that make our culture special:

• 
  
• Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  
• Comprehensive benefit coverage globally.
  
• Generous paid parental leave globally.
  
• Competitive time off globally.
  
• Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  
• DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  
• The Keyfactor Alliance Program to support DEIB efforts.
  
• Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  
• Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  
• Monthly Talent development and Cross Functional meetings to support professional development.
  
• Regular All Hands meetings - followed by group gatherings.
  

Our Core Values

Our core values are extremely important to how we run our business and what we look for in every team member:

Trust is paramount.

We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.

Customers are core.

We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.

Innovation never stops, it only accelerates.

The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.

We deliver with agility.

We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.

United by respect.

Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.

Teams make "it" happen.

Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.

Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.

REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.

Keyfactor Privacy Notice

Position Title: Applied AI Systems Engineer

Location: Orange County, California (Hybrid)

Reports To: Head of Operations

Position Summary

This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.

The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.

This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.

Core Objectives

• Build an internal AI platform that automates high-volume operational workflows
• Reduce manual processing time and administrative overhead
• Improve accuracy, speed, and decision visibility across departments
• Establish scalable systems that support portfolio growth without proportional staffing increases

Primary Responsibilities

• AI Platform Architecture & Development
• Design and deploy AI agents to automate operational and administrative workflows
• Build LLM-powered systems for document review, data extraction, and decision support
• Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
• Implement evaluation, monitoring, and continuous improvement frameworks

Lease & Document Intelligence Automation

• Build tools to extract key lease terms, obligations, and risk clauses
• Automates lease abstraction and document comparison workflows
• Develop compliance and deadline tracking systems
• Enable searchable knowledge retrieval across lease and legal documents

Leasing & Asset Management Automation

• Automate LOI comparison and deal workflow summaries
• Build dashboards summarizing tenant performance, lease milestones, and risk exposure
• Support market intelligence and tenant prospecting research
• Develop underwriting support and reporting tools

Property Management & Financial Workflow Automation

• Automate CAM reconciliation data processing and variance detection
• Streamline tenant reporting and communication workflows
• Track vendor contracts, compliance deadlines, and service obligations
• Extract and structure financial data from operational documents

Data Infrastructure & Knowledge Systems

• Structure internal documents and data for AI retrieval and automation
• Build document ingestion, indexing, and retrieval pipelines
• Implement vector search and knowledge retrieval systems
• Maintain data integrity, access control, and auditability

Systems Integration & Deployment

• Integrate AI tools with property management, accounting, CRM, and document platforms
• Deploy systems within secure cloud environments
• Implement logging, monitoring, performance, and cost controls
• Ensure reliability and scalability of deployed systems

Collaboration & Implementation

• Translate operational workflows into technical automation solutions
• Work directly with leadership to prioritize automation opportunities
• Train teams and implement adoption workflows
• Establish standards for responsible and secure AI usage

Required Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• Demonstrated success in a rigorous academic or research environment
• 3–7+ years building production software, automation systems, or applied AI solutions
• Strong Python development and API integration experience
• Experience working with structured and unstructured data
• Experience deploying systems in cloud environments
• Strong understanding of system architecture and data pipelines
• Exceptional analytical and problem-solving ability

Preferred Qualifications

• Experience building document intelligence or contract analysis systems
• Experience with retrieval systems and vector databases
• Experience automating financial or operational workflows
• Experience integrating AI into business operations environments
• Experience in real estate, finance, logistics, or operations-heavy industries
• Evidence of research, technical publications, competitive programming, or open-source contributions

Technical Environment (Representative)

• Python and API-based architectures
• LLM platforms and agent orchestration frameworks
• Cloud infrastructure (AWS, Azure, or GCP)
• SQL and vector databases
• Workflow orchestration and automation tools
• Version control, logging, and monitoring systems

Success Metrics

• Performance in this role will be evaluated by:
• Reduction in manual administrative workload
• Automation coverage across operational workflows
• Accuracy and reliability of AI-driven outputs
• Adoption and usage across departments
• Operational efficiency gains and cost reductions

Work Environment

• Hybrid work model with in-person collaboration in Orange County
• Direct collaboration with executive leadership and operational teams
• High autonomy in system architecture and implementation decisions

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
  

We are looking for a Subject Matter Expert - Intermediate to join our team in support of a DoD customer in Alexandria, VA. The SME will serve as a technical expert on executive-level project teams providing technical direction, interpretation, and alternatives. The individual in this role will provide support, analysis and research into exceptionally complex problems, and processes relating to the subject matter, with expertise in a particular area of Information Technology (e.g., Information Systems Architecture, Telecommunications Systems Design, Architecture, Implementation, Information Systems Integration, Software Development Methodologies, Security Engineering, Communications and Network Systems Management).

Responsibilities Include:

• 
  
• Evaluate new and emerging technologies through market research and prototyping to support customers business objectives.
  
• Assess performance of existing network/ systems and proposed changes, including post-deployment analysis to ensure systems meet design specifications and operational expectations.
  
• Develop Performance Management Plans (PMPs) and produce Performance Analysis Reports (PARs) documenting benchmarking methodologies, test conditions, procedures, and results.
  
• Provide actionable recommendations to resolve performance issues, enhance system capabilities, and proactively identify risks within production network equipment.
  
• Lead requirements development efforts by gathering, documenting, reviewing, consolidating, and refining functional and technical requirements in coordination with stakeholders.
  
• Facilitate and lead requirements review sessions and meetings to define networking requirements for assigned projects, including analysis of collected data.
  
• Develop and maintain Requirement Traceability Matrices (RTMs) to ensure alignment of requirements throughout the design, build, and test phases of the delivery lifecycle.
  
• Identify, evaluate, and recommend new and emerging technologies for systems and equipment in compliance with standards, policies, and guidelines.
  
• Plan, conduct, and document laboratory assessments of hardware and software supporting classified and unclassified services to ensure interoperability and connectivity among stakeholders.
  
• Provide input to the development of Technology Assessment Plans (TAPs)-including scope, objectives, configurations, technical approach, schedules, roles, and independent cost estimates-and produce After Action Reports (AARs) documenting methodologies, results, and recommendations.
  
• Support technology refresh and upgrade initiatives by identifying emerging network capabilities, establishing product evaluation and selection criteria, and developing system evaluation methods and procedures.
  
• Produce formal recommendations and executive briefings outlining findings, strategy, and capability roadmaps, while coordinating overall technology planning and tracking implementation activities.
  
• Analyze industry and Government data on technology changes impacting the DISN and commercial telecommunications sector and provide preliminary design and implementation guidance to support strategic planning and decision-making. Areas include wireless technologies, IPv6 transition (NIPRNet/SIPRNet), NetOps and cyber defense (JTF-GNO), VoIP/DSN, VTC and streaming video, core system refreshes, and emerging standards aligned with DoD mandates.
  
• Provide SME engineering services to design, configure, test, implement, and sustain STIG-compliant network and security architectures, including NAC (802.1x), reverse proxy and load balancing, web filtering, DNS/DHCP/IPAM, VPN, wireless/IDS, VDI support, VoIP/VTC/streaming, Check Point firewalls and MDM, NMS tool suites, MPLS architecture, SATCOM support, and DR/COOP planning; perform Tier IV troubleshooting and produce required technical documentation (ECRs, ITRs, NSOs, AARs, test plans/reports, and as-built diagrams).
  
• Provide Cloud-certified SME engineering support for on-premises to Cloud migrations, coordinating with CSPs (e.g., Azure, AWS, Oracle, Google Cloud, MilCloud2) and facilitating integration with Secure Cloud Computing Architecture (SCCA) BCAP in multi-cloud environments.
  
• Develop and maintain Cloud migration documentation to ensure accurate knowledge management and configuration records.
  
• Engineer, implement, and sustain the Enterprise F5 Application Delivery Controllers (ADCs) supporting DoD DMZ, data center, and Cloud-hosted applications, including Tier 3 support and configuration of GTM (DNS), LTM, and APM modules in compliance with DISA STIGs and industry best practices.
  
• Implement F5 break-and-inspect capabilities to meet DISA Cloud security requirements and coordinate with CSPs and developers to establish Layer 7 health monitoring.
  
• Thinks independently and demonstrates exceptional written and oral communications skills.
  
• Applies extensive technical expertise and has full knowledge of other related disciplines.
  
• Guides the successful completion of major programs and may function in a project leadership role.
  
• Develops technical solutions to complex problems that require the regular use of ingenuity and creativity. Work is performed without appreciable direction.
  
• Exercises considerable latitude in determining technical objectives of assignment.
  

Required Skills, Qualifications and Experience:

• 
  
• Minimum Requirement:
  
  • 
    
  • 10 years of experience in a relevant field, (e.g., Computer Science, Engineering, or Information Systems/Technology).
    
  
  
  
• Certification Requirements:
  
  • 
    
  • DoD Approved 8570 Baseline Certification:
    
    • 
      
    • Category IAT Level III (CCNP Security, CASP+ CE, CISSP, CISA, GCED, GCIH).
      
    
    
    
  • Computing Environment Certifications:
    
    • 
      
    • Cisco Certified Network Professional-Enterprise (CCNP-E) is required.
      
    • Check Point Certified Security Administrator (CCSA) is required in addition to the Cisco certification.
      
    
    
    
  
  
  
• Clearance Requirement:
  
  • 
    
  • This position requires a SECRET with a Tier 5 investigation.
    
  
  
  

Preferred Qualifications:

• 
  
• Check Point Certified Security Expert (CCSE)
  
• AWS Cloud Practitioner
  
• Microsoft Certified: Azure Fundamentals
  
• Comp TIA Cloud+
  
• Cisco Certified Internetworking Expert -Enterprise Infrastructure (CCIE-EI).
  

Compensation: $120,000+

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

• 
  
• 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  
• Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  
• 401(k) with Match: We match 3% of your contributions with immediate vesting.
  
• Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  
• Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  
• Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  
• Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  
• Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  
• Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.
  

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Location: Detroit, MI (3 days in office, 2 days remote; first 3 months are fully in office)

Note: This employer does not provide visa sponsorship. Applicants must be authorized to work in the United States now and in the future without sponsorship.

Overview

We are seeking a hands-on Application Security Engineer to help integrate security practices across modern development environments, cloud platforms, and emerging AI/ML systems. This role focuses on embedding security into engineering workflows, improving application resilience, and enabling teams to deliver secure solutions without slowing development.

You will work closely with development, infrastructure, and product teams to identify risks early, implement automated security controls, and support secure architecture across applications and data-driven systems.

Key Responsibilities

Secure Development & DevSecOps

• Integrate security best practices throughout the software development lifecycle, from design through production deployment
• Perform code reviews to identify vulnerabilities and promote secure coding standards
• Implement and manage application security tools such as SAST, DAST, SCA, and related technologies
• Embed automated security checks within CI/CD pipelines and DevSecOps workflows

Risk Assessment & Vulnerability Management

• Conduct threat modeling and security assessments for applications and system architectures
• Identify, prioritize, and track vulnerabilities, partnering with engineering teams on remediation efforts
• Monitor third-party libraries, APIs, and open-source components for security risks

Cloud, Container & Platform Security

• Support security efforts across cloud environments, including containerized and serverless applications
• Assist in securing Kubernetes-based workloads and distributed systems
• Contribute to infrastructure hardening and platform security improvements

AI/ML & Emerging Technology Security

• Evaluate risks associated with machine learning and generative AI systems across the full lifecycle
• Implement safeguards such as input validation, prompt protection, and data leakage prevention
• Support governance and security controls for AI-enabled applications

Incident Response & Compliance

• Investigate application-related security events and support incident response activities
• Track security metrics, risk posture, and remediation progress
• Assist with audit readiness and compliance initiatives

Collaboration & Enablement

• Partner with developers, architects, and product teams to promote secure design principles
• Provide guidance on secure coding practices aligned with industry frameworks (e.g., OWASP)
• Stay current on emerging threats, vulnerabilities, and attack techniques

Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, or a related field (or equivalent experience)
• 3+ years of experience in application security, cloud security, or DevSecOps environments
• Hands-on experience with security testing tools (SAST, DAST, SCA, etc.)
• Strong understanding of secure coding practices and modern application architectures
• Experience with cloud platforms and containerized environments (e.g., Kubernetes)
• Familiarity with CI/CD pipelines and automation tools
• Excellent communication skills with the ability to collaborate across technical and non-technical teams
• Strong organizational skills and ability to manage multiple priorities

Preferred Qualifications

• Experience with AI/ML security concepts or securing data-driven applications
• Relevant certifications such as DevSecOps, cloud security, or AI security credentials
• Background in highly regulated or security-sensitive environments

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
• Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.

• Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
• Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
• Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.

• Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
• Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
• Promote reuse and consistency of AI/ML components across products and platforms.

• Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.

• Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.

• Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
• Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
• 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
• Experience with industrial, connected, or safety-critical systems preferred.

Knowledge / Skill Requirements

• Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
• Experience designing systems that balance performance, accuracy, latency, and resource constraints.
• Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Camera and Vision Technologies to help build and scale intelligent systems that leverage visual sensing to deliver real-time awareness, automation support, and customer value in industrial environments.

The Systems Architect, Camera and Vision Technologies is responsible for defining and guiding the architecture for camera hardware, vision pipelines, and vision-enabled capabilities deployed on devices and edge platforms. This role ensures that camera and vision solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, AI/ML teams, hardware engineering, and digital solution leaders to translate business and customer requirements into robust camera and vision foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and standards for camera hardware, vision pipelines, and edge-based vision processing.
• Establish common approaches for camera integration, image acquisition, preprocessing, inference pipelines, and data management.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.

• Drive the strategic use of camera and vision technologies to enable safety, productivity, automation, and maintenance use cases.
• Own a portion of the internal technology radar related to cameras, vision sensors, and visual analytics.
• Foster responsible, ethical, and transparent use of vision technologies aligned with privacy, cybersecurity, and safety requirements.

• Partner with product management and engineering teams to enable vision-based capabilities such as event detection, situational awareness, condition monitoring, and automation support.
• Guide architectural decisions related to camera selection, optics, illumination, environmental constraints, and edge compute limitations.
• Promote reuse and consistency of camera and vision components across products and platforms.

• Define patterns for integration between camera and vision technologies, edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.

• Define secure-by-design and safety-aligned principles for camera and vision deployment, including data protection and access controls.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.

• Collaborate across product management, device and edge software, AI/ML, hardware engineering, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance related to camera and vision technologies.
• Serve as the technical voice for vision-based capabilities in strategic customer conversations and enterprise implementations when appropriate.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Vision, or a related technical field required; Master's degree preferred.
• 8+ years of experience delivering camera- or vision-enabled systems, with experience deploying solutions in industrial or edge environments.
• Experience with connected, automated, or safety-critical systems preferred.

• Strong understanding of camera systems, optics, image processing, and computer vision architectures.
• Experience designing vision pipelines that balance performance, latency, accuracy, and environmental constraints.
• Ability to think systemically across cameras, sensors, edge platforms, AI/ML, mobile applications, and cloud services.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Familiarity with industrial automation, safety systems, or vision-based sensing is a plus.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how camera and vision technologies are applied to improve safety, productivity, and automation in real-world industrial environments. Your work will directly influence how visual sensing becomes a scalable, reliable foundation for next-generation connected solutions.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

Open date: February 19, 2026

Most recent review date: Thursday, Mar 5, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Monday, Mar 23, 2026 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 Department of Earth and Planetary Science at the University of California, Berkeley seeks applications for an Assistant Project Scientist in the area of Atmospheric Science, specifically Cloud Physics, using Stereophotogrammetry, Remote Sensing, and Computational Modeling to study moist convection, with strong emphasis on instrument development (cameras), data processing (calibration, stereo reconstruction algorithms), scientific leadership, and mentorship in physical sciences.

This position will be in David Romps' group in the Earth and Planetary Science Department of UC Berkeley. The group at UC Berkeley and Lawrence Berkeley National Laboratory (LBNL) uses theory, simulation, and observation of clouds and atmospheric dynamics to improve our understanding of Earth's climate.

The successful candidate will co-lead the development of cameras for the stereophotogrammetry of clouds, combining the camera data with the theory of physical processes and related numerical simulations to answer scientific questions about moist convective dynamics.

Assist with supervising and mentoring postdocs, graduate students, and undergraduate students. The Assistant Project Scientist will collaborate with David Romps' group to produce publications, as well as contribute to proposals and progress reports. Maintain the code base responsible for camera calibration, feature matching, stereo reconstruction, and volume filling. Develop new stereo-reconstruction algorithms to keep our program at the cutting edge of cloud photogrammetry. Manage the operations of the cameras, including calibration, maintenance, and troubleshooting.

Labor Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

Department: home

The Climate Physics Group:

PhD or equivalent international degree.

* 2 years of experience since PhD in applied physics of meteorological processes, measurements, or impacts.

* PhD in physics or related STEM field.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
  
  (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
  

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

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

Final date: Saturday, Mar 28, 2026 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 Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 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