Computer Scientist

We have an opening for a Computer Scientist in the field of high-performance graph analytic techniques. In this role, you will provide subject matter expertise and technical leadership to a wide range of national security problems pertaining to electric power grid and critical infrastructure security. You will also contribute to the development of fundamental and applied research programs in massive scale graph analysis and linear algebra. Travel may be required to work with collaborators at various sites within the United States. This position is in the Computing Directorate within the Center for Applied Scientific Computing (CASC) Division.

You will

• Conduct research and develop\innovative solutions to highly complex problems or ideas, transforming them into useable algorithms or software modules. Provide solutions that require in-depth analysis of multiple factors and the creative use of established methods.
• Provide highly advanced technical leadership; maintain and ensure excellence in execution of projects and ensure quality standards for deliverables; manage multiple parallel tasks and priorities of customers and stakeholders to ensure deadlines are met.
• Document extensive research results and development progress via technical reports, publishing papers in peer-reviewed media and presenting papers within the DOE community.
• Develop new program growth opportunities by interactions with current and potential sponsors and the development of research and grant proposals.
• Direct a portfolio of complex technical tasks and projects; establish a broad research/project vision and strategy and influence technical direction for Laboratory, self and/or others.
• Represent the Laboratory as the primary technical contact for large projects and serve on external scientific or technical committees.
• Support the Laboratory in attracting and retaining projects, programs, funding, and staff.
• Perform other duties as assigned.

• Ph.D. in Applied Mathematics, Computer Science or a related field, or equivalent level of demonstrated knowledge.
• Expert knowledge in scalable graph algorithms research, including associated data modeling and implementation in high performance computing environments.
• Extensive experience and demonstrated ability to champion, apply, lead, and develop cutting edge principles, theories, concepts, and technologies.
• Expert knowledge and experience conducting high quality, independent research and developing implementations to evaluate results.
• Extensive experience in software development and large-scale computation.
• Extensive experience interacting with a multi-disciplinary research team, authoring technical and scientific reports and papers, and delivering scientific presentations.
• Extensive experience in the identification of highly complex problems and providing solutions in a creative and timely manner.
• Expert communication, facilitation, and collaboration skills necessary to present, explain, and advise senior management and/or external sponsors.

Qualifications We Desire

• Experience with defense and/or non-proliferation applications.

All your information will be kept confidential according to EEO guidelines.

Position Information

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

Why Lawrence Livermore National Laboratory?

• Included in 2024 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our core beliefs - visit https://www.llnl.gov/diversity/our-values 
• Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

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.

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.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

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.