Skip to content

Open nowPosted 7 hours ago

Full Stack Software Engineer

LLNL200 open roles

Pay
$146,340 – $222,564 a year
Where
Livermore, CA, United States
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFull Stack Software EngineerLLNL · Livermore, CA, United States
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on LLNL's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. LLNL postings stay open a median of 19 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted 7 hours ago

LLNL median: 19 days open

The posting

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

Are you energized by the challenge of building robust data management systems that become the backbone of critical scientific work? Do you light up at the intersection of solid software engineering and cutting-edge AI capabilities? We're seeking a software engineer who shares our excitement for creating elegant, scalable data solutions while pushing the boundaries of what's possible with artificial intelligence. This is your opportunity to work on systems where traditional engineering excellence meets the transformative potential of AI.

We are seeking a Full Stack Software Engineer to design, develop, and maintain complex software systems supporting mission-critical analytical and operational workflows. You will contribute across the full technology stack, from modern web-based user interfaces to back-end services, data pipelines, and software quality assurance processes. This role requires close collaboration with scientists, engineers, and domain experts to translate complex requirements into robust, maintainable, and scalable software solutions. The work involves developing a modern data management system based on agentic AI workflows that integrate data models, data processing pipelines, and the integration of advanced AI-enabled tooling. This position is programmatically in the Strategic Threat Analysis and Response (STAR) organization and administratively in the Global Security Computing Applications Division (GS-CAD) within the Computing Directorate.

This position requires part-time on-site presence due to the nature of the work.

This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

You will

  • Collaborate with application owners and developers to analyze business and technical requirements.
  • Contribute to the deployment and architecture of both commercial off-the-shelf (COTS) and in-house developed applications.
  • Contribute to the design, development, test, and maintenance of full stack software applications to both front-end user interfaces and back-end services. This includes contributing to the development of front-end applications using modern web frameworks such as React or Angular and the development or back-end services using restful frameworks such as Python (Flask, FastAPI), or Node (Express, Nest, Fastify)
  • Support and enhance version control and change management workflows, including:Tracking changes across evolving data and document versions Participate in the implementation of mechanisms for diffing and comparing new document versions based on encoded graph structures
  • Refactor existing scripts and prototype code into modular, reusable, and maintainable software components, consolidating functionality where appropriate to improve reliability and extensibility.
  • Contribute to the development of unit tests and supporting artifacts to ensure software quality, reliability, and maintainability to software quality assurance (SQA) documentation in accordance with project and organizational standards.
  • Collaborate with multidisciplinary teams, including software developers, domain experts, and stakeholders, to gather requirements, participate in review designs, and provide high-quality software solutions to problems of moderate complexity.
  • Apply best practices in software engineering, including code reviews, documentation, configuration management, and secure development practices.
  • Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level

  • Serve as a technical contact for complex software development efforts, providing technical direction and mentoring to junior and mid-level developers.
  • Contribute to software quality assurance (SQA) activities, including defining testing approaches, reviewing test coverage, and ensuring compliance with project and organizational requirements.
  • Perform technical risk assessment and mitigation, identifying potential issues related to architecture, performance, maintainability, or data integrity and proposing effective solutions.

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, software engineering, or a related technical discipline, or an equivalent combination of education and relevant experience.
  • Broad experience as a full stack software developer, with contributions to both front-end development (React or Angular frameworks, HTML, CSS, TypeScript, and/or JavaScript) and back-end systems including experience with back-end services using modern Python or Node based frameworks (e.g., API design and integration with databases and external services.)
  • Proficiency with version control systems (e.g., Git), including branching strategies, change tracking, and collaborative development workflows.
  • Broad experience developing unit tests and supporting software quality assurance activities.
  • Proficient analytical and problem-solving skills, with the ability to understand moderately complex to complex requirements and translate into effective software solutions.
  • Proficient written and verbal communication skills, necessary to effectively collaborate in a team environment and present and explain technical information, with the ability to document designs and communicate technical concepts.

Additional qualifications at the SES.3 level

  • Advanced experience as a full stack software developer, including contributing to the design and implementation of complex, multi-component software systems.
  • Demonstrated ability to define and implement testing strategies and to lead software quality assurance (SQA) efforts, including unit testing, integration testing, and documentation.
  • Experience providing technical leadership and mentorship, including guiding other developers, reviewing designs and code, and promoting software engineering best practices.
  • Ability to work independently on ambiguous or complex problems, exercising sound technical judgment and initiative to develop effective solutions.

Qualifications We Desire

  • Master’s degree or PhD in applied data science, computer science, computer engineering, or a related technical field.
  • Experience with containerization platforms, such as Docker or Kubernetes, and related comprehensive knowledge of DevSecOps concepts.
  • Experience integrating artificial intelligence (AI) tools and techniques across the software development life cycle (SDLC), such as AI-assisted coding, automated testing, code review, and documentation, to improve developer productivity and software quality.
  • Comprehensive knowledge and broad experience with Neo4J or other graph databases, including querying, data modeling, and transformation of graph-based data.

Pay Range

$146,340 - $222,564 Annually

$146,340 - $185,544 Annually at the SES.2 level

$175,530 - $222,564 Annually at the SES.3 level

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.

Additional Information

#LI-Hybrid

Position Information

This is a Career Indefinite or At Will appointment. Lab employees and external candidates may be considered for this position.

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. 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against LLNL's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on LLNL's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    LLNL's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.