Demo

Data Systems Software Engineer

Berkeley Lab
Berkeley, CA Full Time
POSTED ON 4/4/2026
AVAILABLE BEFORE 5/2/2026

Lawrence Berkeley National Laboratory is hiring a Data Systems Software Engineer within the Scientific Data division. In this exciting role, you will work with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both domestically and abroad, on a wide array of software development and data science issues serving the broader SciData mission.


We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!



Why join Berkeley Lab?



We invest in our employees by offering a total rewards package you can count on:

  • Exceptional health and retirement benefits, including pension or 401K-style plans
  • A culture where you’ll belong - we are invested in our teams!
  • In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
  • Parental bonding leave (for both mothers and fathers)
  • Pet insurance



You will:

  • Apply modern data management practices and tools to scientific data challenges, using current best-practices in database architectures, storage formats, query languages, and metadata standards.
  • Build software tools to perform complex data engineering, analysis, and curation tasks for both long- and short-term needs using best-in-class algorithms, methodologies, and/or practices.
  • Apply and follow current and effective cybersecurity practices for systems administration, data management, software development, and communications.
  • Use and adapt AI (and ML) tools and practices for both the software development lifecycle and as part of delivered functionality to meet both current and future requirements of scientific teams and projects.
  • Collaborate and communicate effectively within cross-functional teams including domain scientists, facility staff, and computer scientists and engineers.
  • Apply state of the art software engineering techniques and principles:
  • Create tests and software documentation (both developer and user-focused).
  • Optimize, debug, and maintain software once it is deployed into production.
  • Employ software development lifecycle, devops and release management practices.
  • Collaborate with other developers through modern tools and practices.
  • Network with senior internal and external personnel in their own area of expertise.
  • Work on and resolve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions.


In addition, the Computer Systems Engineer Level 3 will:

  • Coordinate and/or lead software engineering and science teams with defining requirements and features for software systems.
  • Architect and implement division-wide or cross-project data management tools, methods, or strategies to optimize data integrity, access, and scale.
  • Lead the design and development of major software systems or components, setting the technical direction and ensuring the integration of best-in-class algorithms and methodologies across multiple projects.
  • Strategically evaluate, pioneer, and integrate novel AI/ML tools and agentic computing practices to deliver transformative capabilities, addressing complex, future-looking scientific requirements.
  • Champion and evolve the group's software engineering standards, including testing, documentation, deployment, and operations.
  • Mentor junior staff and developers, and proactively establish and nurture strategic partnerships with internal and external research teams to advance collaborative project goals.
  • Establish and maintain relationships with stakeholders in the external scientific computing community.
  • Present to audiences within and outside the lab.
  • Work at a higher level of independence when completing assignments.
  • Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
  • Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.
  • Determine methods and procedures on new assignments and may coordinate activities of other personnel.
  • Network with key contacts outside your own area of expertise.



Requirements:

Computer Systems Engineer Level 2:

  • Bachelor's degree and 5 years of related experience, or 3 years and a Master's degree, or three years and a PhD degree, or an equivalent combination of education and work experience.
  • Familiarity with command-line and system administration tools in UNIX-based operating systems like Linux or MacOS.
  • Proficiency in Python.
  • Proficiency in multiple general-purpose and/or domain specific programming languages such as JavaScript, Typescript, C/C , Java, MATLAB, R, etc.
  • Familiarity with current major data storage, data management, and data analysis methodologies, tools, and frameworks, such as "data lakehouse" architectures.
  • Experience and expertise with AI tools and frameworks, including those for agentic workflows.
  • Familiarity and some experience with AI and related technologies to develop, document, test, and deploy software
  • Excellent English written and oral communication.
  • Strong interpersonal skills for working in a diverse team environment.
  • Ability to obtain security clearance sufficient to interact with CUI and/or Classified information.


In Addition, Computer Systems Engineer Level 3:

  • Bachelor’s degree and 8 years of related experience, or 6 years and a Master’s degree, or three years and a PhD degree, or an equivalent combination of education and work experience.
  • Demonstrated experience with the entire software development process, from requirements through design, to implementation, release and deployment.
  • Experience and expertise with current major data storage, data management, and data analysis methodologies, tools, and frameworks, such as "data lakehouse" architectures
  • Experience with AI tools and frameworks, including those for agentic workflows.



Desired skills/knowledge:

  • Experience and expertise with cybersecurity theory and practice.
  • Domain expertise in chemical engineering, chemistry, physics, or a related field.
  • Deep understanding of the software development lifecycle.
  • Understanding of HPC and large-scale systems.
  • Familiarity with orchestration platforms (kubernetes), OS systems and tools, parallel programming, databases, data management, resource management.
  • Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
  • Ability to network with senior internal and external personnel in their own area of expertise.


In Addition, Computer Systems Engineer Level 3:

  • Experience with software project management and system administration.
  • Experience leading cross-functional teams.
  • Experience serving as a subject matter expert in cybersecurity practices for scientific computing, conducting security reviews, and establishing organizational standards for secure software development and data handling.
  • Experience identifying and securing new collaborative opportunities and resources.
  • Demonstrated ability to work effectively as part of a cross-disciplinary team.
  • Ability to resolve complex issues in creative and effective ways.
  • Ability to exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.
  • Ability to network and collaborate with key contacts outside their own area of expertise.



Additional information:

  • Application Date: Priority consideration will be given to candidates who apply by May 1, 2026. Applications will be accepted until the job posting is removed.
  • Appointment Type: This is a full-time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
  • Two openings for this position
  • Salary Information:
  • The expected annual salary for the Computer Systems Engineer Level 2 position is $132,000 - $161,000, which fits into the full salary of $117,132- $197,676 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience.
  • The expected annual salary for the Computer Systems Engineer Level 3 position is $157,000 - $192,000, which fits into the full salary of $139,440- $235,308 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience.
  • Background Check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Work Modality: Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
  • Work Authorization: The selected incumbent for this position is required to be a U.S. Citizen at time of hire.
  • Multi-level Posting: This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.



Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov


Salary : $117,132 - $197,676

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Data Systems Software Engineer?

Sign up to receive alerts about other jobs on the Data Systems Software Engineer career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$92,929 - $122,443
Income Estimation: 
$122,257 - $154,284
Income Estimation: 
$122,257 - $154,284
Income Estimation: 
$143,391 - $179,890
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Berkeley Lab

  • Berkeley Lab Berkeley, CA
  • The Scalable Solvers Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Comp... more
  • 9 Days Ago

  • Berkeley Lab Berkeley, CA
  • Lawrence Berkeley National Laboratory has an exciting opportunity for a Senior Manager, Compensation and Benefits (Total Rewards) at one of the world’s lea... more
  • 9 Days Ago

  • Berkeley Lab Berkeley, CA
  • Berkeley Lab’s ( LBNL ) Biological Systems and Engineering ( BSE ) Division has an opening for a Bioprocess Digitization Leadto join the Advanced Biofuels ... more
  • 9 Days Ago

  • Berkeley Lab Berkeley, CA
  • Lawrence Berkeley National Laboratory is hiring a Senior HR Strategy Partner (HRSP) within the Human Resources Division. This role provides senior-level st... more
  • 13 Days Ago


Not the job you're looking for? Here are some other Data Systems Software Engineer jobs in the Berkeley, CA area that may be a better fit.

  • Ampex Data Systems Hayward, CA
  • Description Hardware Engineer III Do you excel in an environment that values working and playing hard? Would you like to be part of a team developing, main... more
  • 26 Days Ago

  • Ampex Data Systems Corporation Hayward, CA
  • Electronic Systems Assembler II Are you someone who thrives in a fast-paced environment that values both hard work and having fun? Do you want to contribut... more
  • 25 Days Ago

AI Assistant is available now!

Feel free to start your new journey!