Computational Career-Track Research Scientist at Lawrence Berkeley National Laboratory

Berkeley, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

176832.0

Posted On

16 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

High-Performance Computing, Sparse Linear Algebra, Tensor Algebra, Randomized Algorithms, Quantum Algorithms, Bayesian Statistical Methods, Uncertainty Quantification, AI/ML Techniques, Code Optimization, MPI, OpenMP, Parallel Programming, Programming Languages, Complexity Analysis, Data Structures, Quantum Computing, Independent Research

Industry

Research Services

Description

The Scalable Solvers Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist. The successful candidate will engage in the group’s research and development (R&D) activities in high-performance computing (HPC) and contribute in setting research agendas, with a focus on sparse linear and tensor algebra, randomized algorithms and quantum algorithms. Additionally, the role involves applying these algorithms to modeling and simulation of physical systems, incorporating uncertainty quantification and AI/ML techniques for scientific disciplines. You will: Contribute to the design and integration of advanced algorithms in one or more of the following areas, with opportunities to take on increasing responsibility over time: Solvers and preconditioners for sparse structured linear systems Solvers and preconditioners for sparse structured linear and nonlinear eigen systems Tensor algebraic problems Bayesian statistical methods, leading to robust and scalable UQ methods Linear algebra and tensor algorithms for quantum computing AI/ML algorithms for HPC code development Novel algorithms for advancing AI/ML methodology Assist with code optimization and integration into Department of Energy (DOE’s) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent experience in applied mathematics, computer science, or a related field Demonstrated experience in developing algebraic solvers Proficiency in more than one computer programming language, such as Python, C/C++, CUDA, Fortran Knowledge of complexity and performance analysis and advanced data structures Knowledge of sparse matrix techniques Knowledge of methods for solving linear systems and eigenvalue problems Experience of MPI, OpenMP, and other parallel programming models Understanding of quantum many-body problem and tensor eigenvalue problem Excellent oral and written communication skills Ability to conduct independent research Ability to collaborate effectively with a multidisciplinary research team Desired Qualifications: Postdoctoral experience in a relevant field Experience in programming massively parallel computer platforms 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 Opportunities to grow in your career - check out our Tuition Assistance Program 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 Additional information: Application date: Priority consideration will be given to candidates who apply by February 12, 2026. Applications will be accepted until the job posting is removed. Appointment type: This is a full-time, 2 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. Salary range: The expected salary for this position is $126,324 - $176,832, which fits into the full salary of $94,740 - $227,376 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, The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here). Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov 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. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor. 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.

Responsibilities

The successful candidate will engage in research and development activities in high-performance computing, focusing on advanced algorithms for various mathematical problems. They will also assist with code optimization for applications running on exascale computer systems.