Top 147 Cell device engineer Jobs in Livermore, Ca

Data Science Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $121,830 - $154,500 a year
- Full-time
- Hybrid work
- Computer Science
- Pass drug screening
- Mid-level
- Relocation assistance
- 401(k)
Metrology Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $146,340 - $222,564 a year
- Full-time
- Hybrid work
- Engineering
- Pass drug screening
- Office
- Relocation assistance
- 401(k)
6d
Senior Optomechanical Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $175,530 - $267,030 a year
- Full-time
- Hybrid work
- Pass drug screening
- Master's degree
- Analysis skills
- Relocation assistance
- 401(k)
10d
Electronics Fabrication Technician Specialist
Lawrence Livermore National Laboratory —Livermore, CA
- $43.55 - $63.97 an hour
- Full-time
- Customer service
- Pass drug screening
- Mid-level
- Relocation assistance
- 401(k)
Lead Application Engineer (7431)
Advantest —San Jose, CA
- $129,650 - $200,400 a year
- Full-time
- Background check
- 7 years
- Java
- Health insurance
- Dental insurance
Quick Apply
Relay Protection and Controls Engineer
Ampirical —San Ramon, CA
- $92,000 - $180,000 a year
- Mentoring
- Senior level
- Electrical Engineering
- Profit sharing
- Wellness program
Quick Apply
4d
Sr. Electrical Engineer, NPI
Bloom Energy —Fremont, CA
- $98,400 - $141,600 a year
- Full-time
- Bachelor of Science
- Laboratory experience
- Office
Quick Apply
4d
TIG WELDER
Randstad —Fremont, CA
- $65,000.00 - $78,999.99 a year
- 8 hour shift
- High school
- Mid-level
- High school diploma or GED
- AD&D insurance
- Disability insurance
Quick Apply
5d
Facility Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $129,150 - $196,476 a year
- Full-time
- Microsoft Word
- Microsoft Excel
- Schematics
- Relocation assistance
- 401(k)
Associate Criticality Safety Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $121,830 - $185,544 a year
- Full-time
- Pass drug screening
- Mid-level
- Master's degree
- Relocation assistance
- 401(k)
12d
Flight Test Mission Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $154,950 - $235,692 a year
- Full-time
- Pass drug screening
- System design
- Analysis skills
- Relocation assistance
- 401(k)
Precision / Metrology Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $121,830 - $185,544 a year
- Full-time
- Pass drug screening
- Master's degree
- Analysis skills
- Relocation assistance
- 401(k)
Mechanical Technologist/Sr. Mechanical Technologist
Lawrence Livermore National Laboratory —Livermore, CA
- $43.55 - $63.97 an hour
- Full-time
- Pass drug screening
- Research
- Mid-level
- Relocation assistance
- 401(k)
Database Reliability Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $146,340 - $222,564 a year
- Full-time
- Hybrid work
- Computer Science
- Pass drug screening
- System design
- Relocation assistance
- 401(k)
10d
Machine Learning Research Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $146,340 - $222,564 a year
- Full-time
- Background check
- Computer Science
- Pass drug screening
- Relocation assistance
- 401(k)
Scientist/Engineer, Cell Engineering
Voya Energy —Hayward, CA
- $130,000 - $175,000 a year
- Full-time
- Senior level
Electronics Technologist - Target Diagnostic Operator
Lawrence Livermore National Laboratory —Livermore, CA
- $43.55 - $53.36 an hour
- Overtime
- Pass drug screening
- Mid-level
- Organizational skills
- Relocation assistance
- 401(k)
12d
Processing & Joining Metallurgist / Materials Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $121,830 - $185,544 a year
- Full-time
- Pass drug screening
- Data analysis skills
- Master's degree
- Relocation assistance
- 401(k)
Weapons Infrastructure Project Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $168,780 - $256,824 a year
- Full-time
- Hybrid work
- Engineering
- Pass drug screening
- Travel
- Relocation assistance
- 401(k)
Laser Engineer
Lawrence Livermore National Laboratory —Livermore, CA
- $175,530 - $222,564 a year
- Full-time
- Pass drug screening
- Master's degree
- Analysis skills
- Relocation assistance
- 401(k)

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cell device engineer jobs near livermore, ca

Data Science Engineer

Lawrence Livermore National Laboratory -
Livermore, CA

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Job Details

Full-time
$121,830 - $154,500 a year

Benefits

Relocation assistance
401(k)
Tuition reimbursement
Work from home
Flexible schedule

Qualifications

AI models
Version control
Software engineering
Data transformation pipeline development
Generative models
Git
Machine intelligence
Q Clearance
Developing large-scale AI models
Software documentation
Software testing
Python
Generative AI

Full Job Description

Company Description

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design, development, and deployment of AI-driven capabilities — including large language models (LLM)-based pipelines, knowledge graphs, and intelligent agent prototypes — that advance data and decision sciences for national security. Working alongside senior engineers and domain experts, you will write production-quality code, help build analytical tools and visualizations, and contribute fresh ideas to challenging problems. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate, in support of impactful Global Security Directorate missions.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

You will

Under the guidance of senior team members, apply machine learning and data science algorithms to help analyze national security datasets.
Contribute to LLM-driven data pipelines for information extraction, entity resolution, and automated analysis of large-scale structured and unstructured datasets.
Help build and maintain knowledge graphs and graph-based analytics (e.g., graph-RAG) to model relationships across national security domains.
Assist in prototyping AI agents and conversational interfaces that allow analysts to query data science capabilities through natural language.
Write clean, well-documented code to implement data science solutions, create visualizations, and support analytical tools, following software engineering best practices for version control, testing, and documentation.
Collaborate with multidisciplinary teams including intelligence analysts, domain scientists, and computer scientists in building research prototypes and capabilities.
Contribute to technical reports, internal presentations, and peer-reviewed publications and conference papers.
Perform other duties as assigned.

Qualifications

Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field.
Experience with Python programming and software development, including version control (Git), testing, and documentation (through academics, internships, or research projects).
Demonstrated experience developing generative AI solutions, such as building applications with LLMs, implementing retrieval-augmented generation (RAG), fine-tuning foundation models, or engineering LLM-driven data pipelines.
Experience in the space domain, such as space domain awareness, satellite operations, orbital analysis, or applying data science methods to space-related datasets.
Sufficient communication and interpersonal skills necessary to collaborate in a multidisciplinary team environment and present technical information to varied audiences.

Qualifications We Desire

Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field.
Experience building LLM-driven workflows for automating question-answering, summarization, or structured report generation.
Experience constructing knowledge graphs from extracted entities and relationships and applying graph-based retrieval (e.g., graph-RAG) to enable intelligent querying over complex domains.
Experience developing AI agents or chatbot interfaces — using frameworks such as LangChain, LlamaIndex, or similar — that allow end users to interact with underlying data and models through natural language.
Track record of publications, conference presentations, and deployed prototypes.

Pay Range

$121,830 - $154,500 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Pay Range

Additional Information

#LI-Hybrid

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

Included in 2026 Best Places to Work by Glassdoor!
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (*depending on project needs)
Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance. Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Apply Now

Refine Your Search

cell device engineer jobs in livermore, ca

Data Science Engineer

Metrology Engineer

Senior Optomechanical Engineer

Electronics Fabrication Technician Specialist

Lead Application Engineer (7431)

Relay Protection and Controls Engineer

Sr. Electrical Engineer, NPI

TIG WELDER

Facility Engineer

Associate Criticality Safety Engineer

Flight Test Mission Engineer

Precision / Metrology Engineer

Mechanical Technologist/Sr. Mechanical Technologist

Database Reliability Engineer

Machine Learning Research Engineer

Scientist/Engineer, Cell Engineering

Electronics Technologist - Target Diagnostic Operator

Processing & Joining Metallurgist / Materials Engineer

Weapons Infrastructure Project Engineer

Laser Engineer

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