Data Systems Software Engineer

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, 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 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 EngineerLevel 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 EngineerLevel 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:

Equal Employment Opportunity Employer:

The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.

Misconduct Disclosure Requirement: 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, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.