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Senior High Performance Computing Jobs in Santa Clara, CA

SLB

High Performance Computing Engineer

Sunnyvale, CA · On-site

We are seeking a highly skilled High Performance Computing (HPC) Engineer with a strong background in modeling and solving complex discrete optimization problems. The ideal candidate will demonstrate ...

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ASML USA

High Performance Computing Engineer

San Jose, CA · On-site

$147K - $221K/yr

Introduction to the job We are seeking a highly motivated High Performance Computing (HPC) Engineer to design, develop, deploy, and maintain cutting-edge computing platforms that enable advanced ...

ASML

High Performance Computing Engineer

San Jose, CA · On-site

$147K - $221K/yr

Introduction to the job We are seeking a highly motivated High Performance Computing (HPC) Engineer to design, develop, deploy, and maintain cutting-edge computing platforms that enable advanced ...

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Senior High Performance Computing information

See Santa Clara, CA salary details

$29.4K

$94.3K

$192K

How much do senior high performance computing jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior high performance computing in Santa Clara, CA is $94,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior High Performance Computing vs High Performance Computing Engineer?

AspectSenior High Performance ComputingHigh Performance Computing Engineer
CredentialsBachelor's or Master's in Computer Science, often with certifications in HPCBachelor's or Master's in Computer Science or related field, with HPC experience
Work EnvironmentResearch labs, universities, large data centersData centers, research institutions, tech companies
Industry UsageAcademic, research, government projectsCommercial, research, technology sectors
Primary FocusLeadership in HPC projects, strategic planningDesigning, developing, optimizing HPC systems and applications

While both roles involve high-performance computing, Senior High Performance Computing professionals typically focus on leadership and strategic oversight, whereas High Performance Computing Engineers are more involved in technical development and system optimization. The roles often overlap in skills and environment but differ in scope and responsibilities.

What are the most commonly searched types of High Performance Computing jobs in Santa Clara, CA?

The most popular types of High Performance Computing jobs in Santa Clara, CA are:

What are popular job titles related to Senior High Performance Computing jobs in Santa Clara, CA?

For Senior High Performance Computing jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Senior High Performance Computing jobs in Santa Clara, CA look for?

The top searched job categories for Senior High Performance Computing jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Senior High Performance Computing jobs?

Cities near Santa Clara, CA with the most Senior High Performance Computing job openings:

Senior High Performance Computing jobs near you
Infographic showing various Senior High Performance Computing job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,292 per year, or $45.3 per hour.

High Performance Computing Engineer

SLB

Sunnyvale, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a highly skilled High Performance Computing (HPC) Engineer with a strong background in modeling and solving complex discrete optimization problems. The ideal candidate will demonstrate deep expertise in operations research, advanced mathematical programming, and quantum computing technologies. Your solutions will address challenges such as scheduling, logistics, resource allocation, object placement, bin packing and inversion for large, data-driven systems demanding exceptional performance and precision.
Key Responsibilities:
  • Design, implement, and optimize algorithms to solve large-scale discrete optimization problems, including scheduling, logistics, resource allocation, object placement, bin packing and inversion.
  • Apply advanced operations research techniques using linear programming, quadratic programming, and combinatorial optimization.
  • Develop and deploy heuristic and metaheuristic approaches (e.g., simulated annealing, genetic algorithms, Tabu search) for intractable or non-convex problems.
  • Leverage high-performance computing environments to scale and accelerate problem-solving, including multi-core, distributed, and cloud architectures.
  • Utilize quantum computing hardware (quantum annealers, gate model devices) and quantum-inspired technologies for problem modeling, algorithm implementation, and performance benchmarking.
  • Collaborate with data scientists, software engineers, and domain experts to identify requirements, formulate models, and integrate solutions into operational workflows.
  • Conduct performance analysis, benchmarking, and continuous improvement of optimization solvers and pipelines.
  • Stay abreast of emerging trends in quantum computing, operations research, and HPC to ensure the use of cutting-edge techniques.

Required Qualifications:
  • Advanced degree (MS/PhD) in Computer Science, Operations Research, Applied Mathematics, Physics, Engineering, or related fields.
  • Proven experience (3+ years preferred) tackling discrete optimization problems at scale, with a portfolio demonstrating end-to-end model implementation and solution.
  • Hands-on expertise in linear and quadratic programming, solver technologies (CPLEX, Gurobi, or equivalent).
  • Proficiency with heuristic/metaheuristic optimization techniques (simulated annealing, genetic algorithms, Tabu search, etc.).
  • Demonstrated experience with quantum computing technologies: quantum annealing (e.g., D-Wave), gate model platforms (e.g., IBM Qiskit, Google Cirq), and/or quantum-inspired optimization solvers.
  • Ability to work in high performance/distributed computing environments (HPC clusters, parallel programming, large-scale simulation).
  • Proficiency with programming languages such as Python, C++, or Julia, and relevant scientific computing libraries.
  • Excellent analytical, problem-solving, and communication skills; able to translate business needs into technical requirements.

Preferred Qualifications:
  • Experience developing cross-platform optimization packages and APIs.
  • Familiarity with hybrid quantum-classical workflows.
  • Published research or open-source contributions in optimization or quantum computing fields.
  • Experience in domain-specific optimization (supply chain, logistics, manufacturing).

ALL APPLICANTS FOR U.S. ROLES MUST CAREFULLY READ ALL THE SUPPLEMENTAL U.S. SPECIFIC INFORMATION LISTED BELOW.
SLB is committed to a culture where everyone feels like they belong. To learn more about our diversity, equity, and inclusion commitments, please visit our Diversity & Inclusion | SLB (slb.com) page for more information.
When certifying your application, you are also certifying on reading and understanding all of the below supplemental information. For purposes of the application and the below information, Company shall be defined to mean SLB. Please note that the below supplemental information and the employment application are NOT a contract.
  1. EQUAL EMPLOYMENT OPPORTUNITY & VETERANS
    Company policy is to provide every individual a fair and equal opportunity to seek employment and advancement at the Company without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, genetic information, veteran or military status, disability, creed, ancestry, pregnancy (including pregnancy, childbirth and related medical conditions), marital status or any factors protected by federal, state, or local laws. We are an "Equal Opportunity Employer". For more information please, refer to the latest version of "Know Your Rights" poster and the "Pay Transparency Nondiscrimination Poster" located here: The Company is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.
  2. REASONABLE ACCOMMODATIONS
    The Company will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete the application or to participate in the interview process, please contact to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
  3. AUTHORIZATION FOR EMPLOYMENT
    Pursuant to the Immigration Reform and Control Act of 1986, all applicants who are offered and accept employment must produce documents establishing their identity and authorization for employment in the United States. These documents must be produced no later than seventy-two (72) hours after employment commences. In addition, all applicants who are offered and accept employment will be required to verify their employment authorization under oath by signing a USCIS Form I-9. SLB is an E-Verify employer.
  4. APPLICATION CERTIFICATION
    When applying to a job please read the application carefully before certifying that all of the answers you have given are true, accurate and complete. Ensure that you have read and fully understand the questions asked in the application. Unless noted otherwise, by certifying the application, you are also agreeing to and/or authorizing the following:
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    • You release the Company and all affiliated persons and entities, as well as any person or institution that provides the Company with any lawful information about you, from any and all liability whatsoever resulting from any such lawful inquiry, investigation, or communication.
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    • You understand and agree that nothing in the application or supplement shall constitute an offer, a contract, or a guarantee of employment for a specific period of time.
    • If hired, you understand that your employment may be terminated with or without cause and with or without notice at any time, at the will of the Company or yourself, for any or no reason.
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    • You understand that any application that is filled out will be in effect for 90 days from the date you certified it and, if employment is not offered within the 90-day period, you understand that you must reapply to be considered for future employment.
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  5. STATE INFORMATION
    Please read below any applicable State Information. By certifying the application, you are also certifying that you have read and understood any applicable State Information that is listed below.
    • ARIZONA APPLICANTS ONLY: To the extent required by applicable law, the Company maintains a smoke-free workplace.
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    • MASSACHUSETTS APPLICANTS ONLY: Note that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
    • MARYLAND APPLICANTS ONLY: Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a lie detector test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.
    • NEBRASKA APPLICANTS ONLY: By certifying the application you, hereby give consent to any and all prior employers of yours to provide information with regard to your employment with prior employers to SLB.

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