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High Performance Computing Jobs in Berkeley, CA (NOW HIRING)

This individual will design, implement, optimize, and support high-performance computing solutions tailored to customer needs. This role requires strong technical experience in HPC architectures ...

This individual will design, implement, optimize, and support high-performance computing solutions tailored to customer needs. This role requires strong technical experience in HPC architectures ...

This individual will design, implement, optimize, and support high-performance computing solutions tailored to customer needs. This role requires strong technical experience in HPC architectures ...

Meta is building some of the world's largest AI and high-performance computing infrastructure to power next-generation AI research and products. As an AI/HPC System Performance Engineer on the ...

This role will focus on the design, deployment, validation, and troubleshooting of high-performance computing systems and server platforms. The ideal candidate has strong experience working with ...

Experience designing interconnects for large-scale systems such as those in data center or high-performance computing (HPC) environments.Familiarity with emerging interconnect technologies, including ...

Experience designing interconnects for large-scale systems such as those in data center or high-performance computing (HPC) environments.Familiarity with emerging interconnect technologies, including ...

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High Performance Computing information

See Berkeley, CA salary details

$49K

$121.9K

$188K

How much do high performance computing jobs pay per year?

As of Jun 11, 2026, the average yearly pay for high performance computing in Berkeley, CA is $121,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $154,300.00 per year, depending on experience, location, and employer.

What are the career opportunities in high performance computing?

Career opportunities in high performance computing (HPC) include roles such as HPC system administrators, computational scientists, software developers, and data analysts. These positions often require skills in parallel programming, Linux systems, and knowledge of HPC tools like MPI and CUDA, with certifications and experience in managing large-scale computing environments being advantageous.

What are the typical responsibilities of someone working in High Performance Computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What engineers make $500,000?

High Performance Computing engineers, especially those with advanced skills in parallel programming, system architecture, and experience with supercomputers or cloud HPC environments, can reach salaries of $500,000 or more, often in senior or specialized roles. Such compensation typically includes base salary, bonuses, and stock options, and is common in industries like aerospace, defense, and large tech companies.

What is the highest paid job in computing?

In high performance computing, roles such as HPC Director, Chief Technology Officer, or senior research scientists often have the highest salaries, especially with advanced skills in parallel programming, system architecture, and large-scale data management. These positions typically require extensive experience, leadership abilities, and often advanced degrees or certifications.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

What is a High Performance Computing job?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What is high performance in computing?

High performance in computing refers to systems or applications that deliver rapid processing speeds and handle large-scale computations efficiently. High Performance Computing (HPC) jobs often utilize parallel processing, specialized hardware like supercomputers or clusters, and optimized software to solve complex problems in fields such as scientific research, engineering, and data analysis.
What cities near Berkeley, CA are hiring for High Performance Computing jobs? Cities near Berkeley, CA with the most High Performance Computing job openings:
Quantum and High Performance Computing Engineer

Quantum and High Performance Computing Engineer

Lawrence Berkeley National Laboratory

Berkeley, CA • On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Job description

Lawrence Berkeley National Lab's (LBNL) National Energy Research Scientific Computing Center (NERSC) Division has an opening for a Quantum and High Performance Computing Engineer to join the Advanced Technologies Group (ATG).
ATG engages with other national labs, vendors, and the general research community to help define and evaluate technologies that enhance scientific computing research. The group's goals include understanding what the high performance computing (HPC) and quantum computing (QC) landscapes will look like following the end of Moore's Law and post-exascale.
You will contribute to the advancement of NERSC's strategy for quantum and hybrid quantum-classical computing while supporting Berkeley Lab's role in the Genesis 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
  • 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

Quantum and High Performance Computing Engineer, Level 3:
  • Participate in NERSC's efforts in assessing emerging quantum computing technologies in architecture, algorithms and programming paradigms to provide input for quantum and HPC system procurements and DOE technology roadmaps.
  • Evaluate hardware and software technologies pertaining to quantum computing for their potential to be applied to NERSC's workload.
  • Work with vendors to prioritize develop and enhance their technologies in order to better meet the needs of DOE Office of Science application codes and workflows
  • Investigate pathways for quantum-HPC deployments, including viability criteria and operational requirements.
  • Analyze the performance and scalability of scientific applications on current and future quantum-HPC computing platforms.
  • Participate in NERSC's outreach activities through written documents, presentations and developing peer to peer contacts with other professionals in the field.
  • Prepare timely reports, papers, and lectures describing significant results for dissemination within NERSC and throughout the broader quantum computing and HPC research communities.
  • 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.

Quantum and High Performance Computing Engineer, Level 4:
  • Participate in the development of NERSC's quantum computing strategy including extrapolation of technology trends over the next decade of quantum-HPC platforms.
  • Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors; ensure NERSC's quantum strategy is adaptable.
  • Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.
  • Work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
  • Mentor junior members of staff and postdoctoral fellows.

We are looking for, at Level 3:
  • Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a Doctoral degree; or equivalent experience.
  • Knowledge of quantum computing architectures, technology trends and their implications.
  • Experience in programming and performance analysis of scientific applications of quantum computing.
  • Excellent written and oral communication skills.
  • Demonstrated ability to work effectively as part of a cross-disciplinary team.
  • Experience independently planning and completing projects.
  • Proficient with Python, Julia or other programming languages.

In addition to above, at Level 4:
  • Typically requires a minimum of 12 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or 4 years and a Doctoral degree; or equivalent experience.
  • Track record of technical leadership or leading collaborative projects.
  • Demonstrated ability to lead technical efforts in a team environment.
  • Recognized expertise and established professional network in quantum computing, HPC or related fields.

Desired skills/knowledge:
  • Ph.D. in Computer Science, Computational Science, Physical Sciences, or related field.
  • Demonstrated track record of research and technical publications in quantum computing. Ability to write and present technical papers at conferences and other venues to disseminate research work.
  • Knowledge of contemporary quantum processor architecture and design
  • Knowledge of quantum compilation software
  • Knowledge of contemporary approaches to quantum error correction, quantum resource estimation, noise mitigation, and quantum characterization verification & validation protocols.

Additional information:
  • Application date: Priority consideration will be given to candidates who apply by June 1, 2026. Applications will be accepted until the job posting is removed.
  • Appointment type: This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
  • Salary range:
    • Level 3: The expected salary for this position is $156,864 - $191,724, 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.
    • Level 4: The expected salary for this position is $178,644 - $218,364, which fits into the full salary of $158,808 - $267,996 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: This position requires substantial on-site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full-time telework or remote work modes may be considered.
  • 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
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.