Edge Engineering And Science Llc Jobs in Usa

6,700 positions found

Director of Process Engineering
✦ New
Salary not disclosed
Seattle, Washington 15 hours ago

Director to VP of Process/Manufacturing & Engineering

Location: Seattle, WA / Reports to: Chief Executive Officer (CEO)

The core of this position is someone who has directly taken a chemical or process manufacturing technology from early stage development through pilot and into commercial production. Specifically someone who has scaled a process based manufacturing system, liquids, heat, pressure, continuous or batch processing, from benchtop or pilot scale to revenue generating commercial scale.

Must have

  • Direct experience scaling a process-based manufacturing system from pilot or bench scale to commercial production, ideally with clear quantifiable outcomes.

Strong preference

  • Experience doing this scale-up within a startup or resource-constrained environment.
  • Background in chemical or process engineering rather than mechanical or discrete manufacturing.
  • Experience building operational, quality, and production infrastructure during the early commercialization phase.
  • Quantifiable impact metrics around scaling chemical processes. This can take a few different forms, " X size pilot to first $Y M/yr commercial production\" or "Increased production Z%" etc.

Further, someone who has operated across engineering, supply chain, and operations, a true "operations-oriented engineer." High level of independence and drive, ideally someone who proactively flags risks, pushes timelines, and takes ownership of execution.

This is a senior, execution-focused leader, responsible for translating our technology into safe, reliable, on-spec, and cost-disciplined production at scale via our external partner network. You will own the production and engineering strategy, including leading technology transfer, managing contract manufacturer (CM) performance, and driving EPC execution for facility expansion while working with executive leadership to set the strategy for continuous improvement and a large-scale manufacturing network. You will serve as the primary commercial and technical bridge between internal innovation team and the manufacturing environment. This role requires a leader who is equally comfortable turning a wrench, reviewing P& IDs, negotiating multi-million-dollar MSAs, and acting as the owner's representative & quote, on major capital projects.

What You'll Do

1. Strategic Technology Transfer and Scale-up

○ Lead the 'Bench-to-Plant' Interface: Manage the technical hand-off from internal development to external partners, ensuring processes are robust, documented, and ready for commercial-scale production.

○ Scale-Up Oversight: Steward production, quality, and throughput during the critical transition from pilot to commercial runs, troubleshooting as necessary

○ Process Integrity: Ensure high standards for quality and yield is maintained when processes leave our internal control and enter our partner network.

○ Manage all aspects of technology transfer from R&D to contract manufacturing partners, driving tonnage-scale, on-spec production.

○ Planning for Velocity: properly scope and strategically plan timelines to maintain a venture backed pace for scale-up

2. Contract Manufacturing Ownership and Commercial Strategy

○ Commercial Negotiation: Lead the negotiation of Master Service Agreements (MSAs), tolling fees, and other manufacturing contracts. You are responsible for structuring deals that align incentives and protect our interests.

○ Partner Management: Serve as the single point of accountability for CM relationships. Set, track, and enforce KPIs for quality, OTIF delivery, and yield.

○ COGs Ownership: Own the external production cost model and rigorously define cost drivers and partner with the finance team to forecast scenarios and define and refine unit economics.

3. EPC Leadership and Scale Up

○ Project Delivery Strategy: Select and manage the appropriate project delivery model (e.g. Design-Bid-Build vs EPCM) and lead the selection of EPC vendors

○ Front-End Definition: Provide rigorous oversight of FEL/FEED stages to lock in scope before capital commitment.

○ Owner's Representative: Act as primary "Owner's Rep" for all capital projects, holding external firms accountable for schedule, cost, quality, and safety performance, serving as decision maker of change orders.

○ Own the Build: Oversee the physical execution of facility upgrades or new builds, ensuring a seamless handover to operations.

○ Provide technical input into the strategy of where and how to manufacture product to support business growth

4. Quality, Safety, and Risk Management

○ EHS Compliance: Audit and enforce safety standards at CM and any external sites where we are operating.

○ Supply Chain Risk: Identify point of failure in our external network and develop contingency plans for capacity and logistics

○ Quality: Own and maintain Ravel's quality management framework, including oversight of SOPs, documentation, and continuous improvement across internal operations and external partner.

What You'll Bring

● B.S. or M.S. in Chemical Engineering, Process Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, Chemistry or a closely related discipline, or equivalent experience gained through progressive responsibility in manufacturing operations. A PhD or MBA is a strong plus.

● 10+ years' experience in chemical/process manufacturing, technology transfer, and/or contract manufacturing at pilot or commercial scale.

● Capital Projects Fluency: Demonstrated experience acting as the "Owner" on a capital project ($20M+). You understand the difference between FEL 1/2/3 and know how to control TIC.

● Commercial Acumen: Strong experience negotiating tolling agreements, joint development agreements, and construction contracts. You know how to structure a deal to protect IP and cash risk.

● Technical Authority: Ability to read PFDs/P&IDs and challenge engineering partners on design.

● Willingness to Travel: This role requires being present where the work is, at CMs and construction sites (approx 30-50% travel)

This is an opportunity to own manufacturing strategy and execution at a company scaling breakthrough technology into the real world. You will shape how we manufacture globally, with executive-level accountability for cost, quality, delivery, and facilities, and play a central role in the company's next phase of growth.

Join a passionate, visionary team as we build a future where textile production and consumption are part of a sustainable, closed-loop system.

Traits and Characteristics:

● Hustle

● Team player (our team)

● Positive attitude

● 100% integrity

Not Specified
Aerospace Engineering - Multi-Rank Tenured/Tenure-Track Faculty Positions
Salary not disclosed
Atlanta, GA 2 days ago
Apply for JobJob ID272596

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

  1. Students are our top priority.
  2. We strive for excellence.
  3. We thrive on diversity.
  4. We celebrate collaboration.
  5. We champion innovation.
  6. We safeguard freedom of inquiry and expression.
  7. We nurture the wellbeing of our community.
  8. We act ethically.
  9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Aerospace Engineering

For more than two decades, the Daniel Guggenheim School of Aerospace Engineering has consistently ranked among the nation's top 5 aerospace engineering programs, attracting aspiring engineers to pursue their academic journeys at the Atlanta campus. With an esteemed faculty of more than 40 tenured-track professors and a thriving student body of over 2,000 individuals, the school is uniquely positioned to offer a comprehensive and hands-on approach to research, scholarship, and education, spanning fixed-wing aircraft, rotorcraft, and space domains.



Location

Atlanta, GA



Job Summary

The School of Aerospace Engineering ( ) at the Georgia Institute of Technology invites applications for multiple tenure-track faculty positions. Applicants will be considered at all ranks and in any technical areas of relevance to aerospace systems, interpreted broadly. These areas include artificial intelligence and dynamical systems.

Typically reporting to the School Chair, the Professor is a tenured/tenure-track faculty member who performs a combination of teaching, research, and service. Professors may hold administrative appointments as long as the majority of their time is dedicated to teaching, research, and service. Professors hold a terminal degree and have normally spent three or more years at the rank of Associate Professor.



Responsibilities

  • It is an exceptionally dynamic period in the aerospace community with many opportunities for research discoveries and new technology development to shape the future of the field in aviation, space exploration, and vertical lift.
  • We seek exceptional applicants motivated to "Create the Next in Aerospace" by performing innovative research and creating inspiring learning environments at both the undergraduate and graduate levels. Emphasis will be placed on the originality of the applicant's work, and its potential impact on the field.
  • Those applying for Associate and Full Professor positions should have established records in research that demonstrates nationally and internationally recognized expertise. Along with undergraduate and graduate teaching, each position requires a balance of research and service responsibilities.


Required Qualifications

An earned Ph.D. or Sc.D. in Aerospace Engineering or closely related field is required by the start of the appointment.



Preferred Qualifications

Student Success Criteria:

  • The ability to promote a welcoming educational/work environment.
  • The ability to adopt teaching strategies that support the learning and success of all students.
  • The ability to engage students in experiential learning activities and pedagogy that support student success.


Required Documents to Attach

Applicants should submit a letter of application; curriculum vitae; a statement of research interests; a description of teaching interests as well as their advising/mentoring philosophy; a statement on how their professional and academic experiences have prepared them to support and apply Georgia Tech's values, which are described in our strategic plan (); and the names and contact information for 3-5 references.

Application materials should be submitted as PDF files via employment/careers.



Contact Information

For additional information, please contact

The candidate of choice will be required to pass a pre-employment background screening: employment/pre-employment-screening.



USG Core Values

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

More information on these policies can be found here: policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia ( ).



Not Specified
TEMP-Engineering (NEETRAC)
🏢 Georgia Tech
Salary not disclosed
Forest Park, GA 2 days ago
Apply for JobJob ID294543

LocationForest Park, Georgia

Full/Part TimeFull-Time

Regular/TemporaryTemporary

Add to Favorite JobsEmail this Job

About Us

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.



Job Summary

Provide engineering services in support of systems and equipment associated with research efforts within an academic or research unit or laboratory. Specific duties will be determined based on assignment and unit needs. This position will interact on a consistent basis with: unit management and staffThis position typically will advise and counsel: unit management and staffThis position will supervise: NA



Job Summary

  • Assist engineers and technicians with mechanical/electrical testing
  • Assist engineers and technicians with data analysis and reporting
  • Operate testing and machine equipment
  • Perform basic laboratory maintenance


Responsibilities

Job Duty 1 -
Participate in the design, installation and testing of systems and components.

Job Duty 2 -
Develop engineering project schedules, plans, and specifications for systems and components.

Job Duty 3 -
Conduct analyses of system performance; prescribe corrective action where required.

Job Duty 4 -
Troubleshoot systems; may involve calibration and repair work.

Job Duty 5 -
Prepare drawings, schematic diagrams and other documentation associated with components and systems.

Job Duty 6 -
Provide input to and administer project engineering budgets.

Job Duty 7 -
Interact with vendors regarding procurement and delivery issues.

Job Duty 8 -
Participate in project reviews for conformance to quality standards and compliance with applicable codes and regulations.

Job Duty 9 -
Perform other duties as assigned



Required Qualifications

Educational Requirements
Bachelor's Degree in Engineering field, or equivalent combination of education and experience

Other Required Qualifications
Valid Driver's license This is a temporary position, limited to 1300 hours or 12 consecutive months, and subject to ACA and GT guidelines for temporary employment.

Required Experience
Up to two years of job related experience



Preferred Qualifications

Additional Preferred Qualifications
Professional Engineer (PE)



Preferred Qualifications

Demonstrated hands-on experience through internships or similar experiences



Knowledge, Skills, & Abilities

SKILLS
This job requires application of engineering principles, processes and practices; application of regulations, codes and safety practices; utilization of basic and advanced computer applications including those specific to areas of responsibility; communication skills.



USG Core Values

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.



Other Information

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.



temporary
Engineering Technician, Intermediate|6087
✦ New
Salary not disclosed
San Diego, CA 1 day ago
Job Title: Engineering Technician II - Camera Imaging Lab

Location: San Diego, CA (Onsite)

Duration: 6+ Months


Job Overview:

Client is seeking an Engineering Technician II to support the Camera Image Quality (IQ) engineering team in San Diego. This role will focus on capturing photo and video data, analyzing image quality, and maintaining imaging databases used for camera development and evaluation.

The ideal candidate will assist engineers in camera testing, data analysis, and lab operations, while utilizing tools such as Python, Android Debug Bridge (ADB), and image/video analysis software.

Key Responsibilities:


  • Photo & Video Capture and Imaging Data Management
  • Capture high-quality photos and videos using camera devices (primarily smartphone cameras) in both lab environments and real-world scenarios.
  • Execute image and video analysis tools to evaluate camera performance and generate quantitative and qualitative results.
  • Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including: Texture and Noise, Color Accuracy, HDR, Exposure, Zoom, Bokeh, Video Quality, Image, Stabilization
  • Configure and operate Android devices using Android Debug Bridge (ADB) for camera testing and data capture.
  • Organize captured data through structured folder systems and naming conventions to support multi-device testing workflows.


Camera Lab Maintenance


  • Maintain and operate Camera Image Quality evaluation labs located at San Diego campus.
  • Ensure the lab environment is properly configured for camera testing and data collection.
  • Support camera engineering teams by maintaining testing equipment, scenes, and workflows.


Image Quality Evaluation Support (Optional)


  • Develop and enhance Python-based tools for image quality analysis and evaluation.
  • Assist in developing evaluation protocols for camera IQ metrics, including texture, color, HDR, exposure, zoom, and video stabilization.
  • Support development of test scenarios for both lab setups and real-world capture conditions.
  • Work with tools such as FFmpeg for video analysis and processing.
  • Assist in building and organizing image/video datasets for machine learning training, including data annotation and labeling.


Required Qualifications:


  • Bachelor's degree in Engineering (Electrical Engineering, Computer Engineering, Computer Science, or related field).
  • Strong interest in camera imaging, photography, or image quality evaluation.
  • Basic knowledge of Python programming.
  • Ability to manage large datasets and organize technical data efficiently.


Preferred Qualifications:


  • Experience with image or video processing tools.
  • Familiarity with Android Debug Bridge (ADB).
  • Knowledge of MATLAB, Python scripting, or FFmpeg.
  • Exposure to computer vision, image quality analysis, or camera testing.
  • Understanding of image datasets used in machine learning workflows.
Not Specified
Engineering Intern/Co-Op
✦ New
🏢 Maxcess
Salary not disclosed
St Louis, Missouri 15 hours ago
Intern/Co-Op Period: May thru Dec 2026
Location: Eureka, MO
Position Summary:
The Intern/Co-Op position at Maxcess Rotometrics is targeting Junior or Senior level undergraduate students currently enrolled in an Accredited engineering program at a College or University. This position will provide an opportunity for the student to work alongside the engineering team to support the design and manufacturing of converting tools (rotary dies, print cylinders, etc). This type of tooling is used to convert materials into labels for wine/beer bottles, medical and automotive devices (band aid's, gaskets) and non-wovens (diapers, face masks).
Target Degree Programs:
Mechanical Engineering, Software Engineering, Computer Engineering, Computer Science
Preferred Qualifications:
Self-starter, hands on, clear communicator, strong mechanical and/or software programming aptitude, desire/curiosity for machine design, controls and troubleshooting, ability to create reports and presentations, ability to clearly report out on test results and recommendations. Understanding of lean manufacturing processes, experience with machine controls (CAM, PLC, VBA, Python), servos and step motors, and interest in machine design and automation. Establishing MS Sharepoint work flow a plus.
Preferred Skills:
Ability to work independently and in a team environment, proficient in 2D design/drawings along with 3D Modeling, able to read component blueprints, Microsoft Office. Programming skills (C, C++,.NET, VB), ERP System understanding and FEA a plus.
Roles and Responsibilities:
Research current products, bill of materials and develop understanding of how the product flows thru production. This role will support engineering team in a continuous improvement environment with projects that may span multi sites. Additional duties may include data entry, BOM support, automation projects to streamline processes, periodic testing, and results summary with report out, light design work to support New Products or Research into new technology, based on business need and skill set of the student.
Project List:
  • Flex Die process optimization: Chrome/passivation, fixture design
  • Tooling & Fixture Design assist: 3D modeling, DFM
  • Support Continuous Improvement efforts: Improve workflow, submission quality, and dashboards
  • Support in Automated Assembly & Measurements: Fixture Design, Analysis and Testing
  • Support Kaizen events, focusing on product flow/process improvements: Safety, Quality, Design, Delivery, Cost
#IND
internship
Engineering Analyst II
🏢 Spectraforce Technologies
Salary not disclosed
Houston, TX 3 days ago
Job Title: Engineering Analyst

Location: Houston, TX (Hybrid- 3 days onsite)

Duration: 12 Months

POSITION OVERVIEW


The Data Governance Specialist supports the development, implementation, and maintenance of data governance to ensure the quality and democratization of the organization's data assets, with a focus on the data used and maintained by the Data & Systems Strategy (D&SS) department.

This position serves as a crucial liaison between the Asset Information Management team, field operations, engineering, Technical Information Systems, and compliance teams, promoting best practices in data management and fostering a culture of data stewardship across teams involved in asset management, operations, and compliance.

KEY RESPONSIBILITIES

* Implement and monitor data governance best practices, using established frameworks.

* Collaborate with business and technical stakeholders to define data ownership, stewardship, and accountability for asset data.

* Oversee data quality initiatives focused on pipeline asset information, including profiling, cleansing, and remediation activities.

* Ensure D&SS's data management practices align with industry standards and best practices (i.e. ISO, ISA, CFIHOS).

* Develop and maintain data dictionaries, metadata repositories, and data lineage documentation for asset data, aligning deliverables with enterprise-wide parameters and stakeholder work efforts, where applicable.

* Develop and maintain governance documents, processes, and digital workspace environment (SharePoint), including processes and workflows, related to asset-related nomenclature.

* Lead awareness sessions specific to data governance in the pipeline industry and facilitate working groups composed of cross-functional stakeholders.

* Monitor and report on data governance metrics and the effectiveness of implemented controls.

QUALIFICATIONS

* Bachelor's degree in Information Management, Engineering, Computer Science, Business Administration, or a related field.

* 4+ years of experience in data governance, data management, or relevant discipline within the energy sector.

* Familiarity with data governance frameworks and data quality tools.

* Familiarity of pipeline industry regulations (PHMSA), standards, and best practices for data management .

* Excellent analytical, organizational, and communication/presentation skills, with the ability to translate technical requirements to non-technical stakeholders.

* Experience working collaboratively with cross-functional teams, including engineering, operations, and compliance.

PREFERRED SKILLS

* Experience using and reporting from pipeline asset management systems, GIS, or records management platforms.

* Experience with SharePoint management (Design) and using PowerApps (forms and workflows).

* Experience with PowerBI

* Knowledge of master data management (MDM) concepts and their application in asset-centric organizations.

* Strong problem-solving skills and attention to detail, especially in the context of safety-critical infrastructure data.
Not Specified
Project Manager (AI Engineering Projects)
✦ New
Salary not disclosed

Project Manager

6 mo. contract to perm hire

Raleigh, NC

Required Skills & Experience

• 5–10 years Project Management experience (ideal)

• Strong technical understanding, ideally with AI / ML / GenAI exposure

• Ability to understand technical details and track progress with engineers & data scientists

• Strong stakeholder communication

• Self-driven, minimal hand-holding

• Experience running multi-team, cross-functional initiatives

Experience managing multiple projects concurrently

Nice to Have Skills & Experience

• Former developer or data scientist background before PM

• Hands-on experience with AI products, AI content pipelines, embeddings

• Experience in B2B environment

Experience in multi-year, large-scale data or ML programs

Job Description

• Manage multiple AI-related projects under the hiring manager's org

• Track progress across engineering + data science teams (~10 people)

• Manage long-term initiatives (multi-year)

• Coordinate embedding strategy project with 20–30+ cross-functional contributors

• Provide weekly updates and progress tracking

• No customer-facing work — only internal stakeholders

• Move projects forward proactively, ensure clarity, keep leadership informed

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Not Specified
Lecturer - Data Science - School of Information
✦ New
Salary not disclosed
Berkeley, CA 1 day ago
Position overview

Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.

Percent time:
Percent time 10% to 100% time

Anticipated start:
Positions typically start in January, May, and August.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Position duration:
Initial position duration is for up to one year, with the possibility for renewal. Appointments may be renewed based on need, funding, and performance.

Application Window


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.



Position description

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.



About The I School

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.



Responsibilities Include:

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



Qualifications

Basic qualifications (required at time of application)

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



Additional qualifications (required at time of start)

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.



Preferred qualifications

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):




  • 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


Application Requirements

Document requirements

  • 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)




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05270

Help contact:



About UC Berkeley

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 location
Berkeley, CA, or remote (US-based).
Not Specified
Patent Associate Attorney – Software / Electrical Engineering (2–6 Years Experience) | Denver, Colorado- 410396
✦ New
Salary not disclosed
Denver, Colorado 16 hours ago

Job ID: 410396

Practice area:- IP - Patent - Computer Science,IP - Patent - Electrical Engineering,IP - Patent - Software

Patent Associate Attorney – Software / Electrical Engineering (2–6 Years Experience) | Am Law Firm | Denver, Colorado

Keywords:- Patent Associate Attorney, Intellectual Property Patent Attorney, Software Patent Attorney, Electrical Engineering Patent Attorney, Patent Attorney Denver, Denver legal jobs, Attorney jobs Denver CO, USPTO admission required, Law firm patent associate, Partner-track position, lawyer,Patent litigation, hard sciences, semiconductor, software litigation, hardware patent, computer science litigation, engineering patent dispute

This Amlaw firm values associates that are "all in" and is therefore leanly staffed, providing a fair amount of client contact amongst its associates. In addition, this firm offers a high amount of pro-bono opportunities, especially for first years. This firm values diversity and has a collaborative, social, work environment.

A prominent Am Law firm is seeking a Patent Associate Attorney (2–6 years experience) to join its innovative intellectual property practice in Denver, Colorado. This role offers the opportunity to work with emerging technologies while helping sophisticated clients develop and protect their intellectual property portfolios.

This Patent Associate Attorney opportunity focuses on advanced technology sectors including software, artificial intelligence, machine learning, consumer electronics, and data infrastructure. Attorneys pursuing Denver legal jobs in intellectual property will gain exposure to cutting-edge patent strategy while working with leading innovators and technology companies.

The Patent Attorney will collaborate with clients and technical teams to strengthen patent portfolios, interface with the United States Patent and Trademark Office (USPTO), and support complex IP matters. This partner-track position offers early responsibility, client interaction, and meaningful involvement in strategic IP protection initiatives.

This opportunity is actively interviewing candidates with strong technical backgrounds and patent prosecution experience.

________________________________________

Key Responsibilities

• Collaborate with clients to develop and expand intellectual property portfolios across emerging technology sectors.

• Prepare and prosecute patent applications before the United States Patent and Trademark Office (USPTO).

• Draft patent specifications, claims, and responses to office actions.

• Conduct legal and technical research related to software and electronics patents.

• Assist clients with patent portfolio strategy and IP protection initiatives.

• Negotiate agreements and settlements involving intellectual property rights.

• Work closely with engineers, developers, and product teams to identify patentable innovations.

• Draft legal documents and prepare technical analyses for patent filings.

• Support intellectual property transactions and licensing matters when needed.

________________________________________

Qualifications

• Juris Doctor (JD) from an accredited law school.

• USPTO admission required or eligibility to sit for the Patent Bar.

• 2–6 years of experience practicing as a Patent Associate Attorney or patent prosecution attorney.

• Degree in Electrical Engineering, Computer Science, Software Engineering, or related technical field preferred.

• Excellent academic credentials.

• Strong technical writing and analytical skills.

• Ability to communicate complex technical concepts clearly.

• Experience working within a law firm environment.

________________________________________

Education

• JD required.

• Degree in Electrical Engineering, Software, or Computer Science preferred.

________________________________________

Certifications

• USPTO admission or eligibility.

________________________________________

Skills

• Experience with consumer electronics, software systems, and web-based platforms.

• Familiarity with technologies such as generative AI, machine learning, data structures, and databases.

• Strong technical analysis and patent drafting skills.

• Excellent communication and interpersonal abilities.

• Ability to collaborate effectively with both legal and technical teams.

________________________________________

Culture & Firm Appeal

This opportunity is with a respected Am Law firm known for its collaborative culture and strong intellectual property practice. The firm maintains lean deal teams, providing associates with meaningful client exposure and direct involvement in strategic IP matters.

Associates benefit from a highly collaborative environment where mentorship, professional development, and teamwork are highly valued. The firm is also known for its strong commitment to diversity and inclusion, as well as its active pro bono programs.

For attorneys seeking Denver legal jobs in intellectual property law, this Patent Associate Attorney role provides the opportunity to work on cutting-edge technologies while building strong client relationships and technical expertise.

The firm's dynamic environment encourages innovation and supports attorneys who are motivated to grow their careers within a sophisticated intellectual property practice.

________________________________________

Why This Role Is Unique

• Work with cutting-edge technologies including AI, software platforms, and advanced electronics.

• Direct client interaction with innovative technology companies and startups.

• Exposure to sophisticated patent portfolio strategy and IP protection matters.

• Collaborative team structure with meaningful associate responsibility.

• Partner-track position within a nationally respected intellectual property practice.

• Ideal opportunity for attorneys seeking advanced Denver legal jobs in patent law.

This position rarely opens at this level and offers a unique opportunity to work at the intersection of law and emerging technology.

________________________________________

Call to Action

Apply now for a confidential discussion with a BCG Attorney Search recruiter.

Explore this elite-level opportunity today.

Submit your resume to learn more about this prestigious role.

________________________________________

BCG Attorney Search is the industry leader for placing candidates in permanent positions in law firms. Since 2000, our recruiters have placed several thousand attorneys and enjoyed extraordinarily high success rates with our candidates. As a BCG Attorney Search candidate, you have access to more opportunities than any legal placement firm in the United States. We are able to offer the most in-depth insight in the legal recruiting market thanks to our dedicated team of over 150 employees who mercilessly research, study and analyze the legal market. The depth and breadth of our research empowers us to place attorneys at rates that are unparalleled at any placement firm in the United States. Many of our recruiters make 30 to 40 placements per year, while recruiters at competitor firms are likely to make four or five. Unlike other placement firms that can only tell you about openings at major AmLaw firms, we place candidates of all backgrounds in firms of all sizes. While other legal recruiters only represent a narrow band of candidates from top law firms and top law schools, our research, firm contacts, and market insight allow us to place hundreds of candidates each year who do not fit this mold. It is rare that we do not get candidates we represent interviews and offers. No one in the world is better at legal recruiting and placement than BCG Attorney Search.

BCG Attorney Search will confidentially review your application and will not forward your materials to the firm without first discussing the opportunity with you.

Not Specified
Systems Architect - Edge AI/ML
Salary not disclosed
Milwaukee, WI 3 days ago

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

Edge AI/ML Architecture Strategy
  • 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.
Innovation Leadership
  • 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.
Product and Platform Enablement
  • 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.
Integration and Interoperability
  • 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.
Security, Safety, and Quality
  • 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.
Technical Leadership and Cross-Functional Collaboration
  • 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.
Supervisory Responsibilities
  • 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.

Not Specified
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