ZipRecruiter

Log In

1

High Performance Jobs in California (NOW HIRING)

Onesubsea

High Performance Computing Engineer

Sunnyvale, CA · On-site

$120 - $160/hr

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 ...

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 ...

next page

Showing results 1-20

All JobsHigh Performance JobsHigh Performance Jobs in California

High Performance information

See California salary details

$32.1K

$67.4K

$110.5K

How much do high performance jobs pay per year?

As of Sep 5, 2026, the average yearly pay for high performance in California is $67,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $81,900.00 per year, depending on experience, location, and employer.

What are high performance jobs?

High Performance jobs typically refer to roles focused on maximizing the efficiency, productivity, and outcomes of individuals or teams, often within sports, business, or technology sectors. These positions may include High Performance Managers, Coaches, or Directors who develop and implement strategies to achieve top results. Responsibilities often involve analyzing performance data, setting goals, and providing support to reach peak performance. High Performance jobs require strong leadership, analytical skills, and a deep understanding of the relevant field. They are crucial in environments where excellence and continuous improvement are priorities.

What are the key skills and qualifications needed to thrive as a high performance coach, and why are they important?

To thrive as a High Performance Coach, you need a deep understanding of performance psychology, goal setting, and behavior change, typically supported by a background in coaching, sports science, or psychology. Familiarity with assessment tools, data analytics platforms, and relevant certifications such as ICF or NLP are commonly required. Outstanding interpersonal skills, motivational ability, and adaptability help coaches build trust and effectively support clients through challenges. These skills ensure clients achieve sustained growth, maximize their potential, and maintain high levels of motivation and productivity.

What are some common challenges faced by professionals in high performance roles, and how can they be managed?

Professionals in high performance roles often encounter challenges such as managing high expectations, maintaining consistent results under pressure, and balancing workload with personal well-being. To address these, it's important to develop strong time management skills, seek feedback regularly, and leverage teamwork to distribute responsibilities effectively. Many organizations also provide resources such as coaching or mental health support to help team members sustain peak performance while avoiding burnout.

What is the difference between High Performance vs Data Analyst?

AspectHigh PerformanceData Analyst
Required CredentialsRelevant certifications, technical skills, performance metricsDegree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentFast-paced, results-driven teams, often in tech or financeOffice setting, data-focused projects across industries
Employer & Industry UsageTech companies, finance, consulting firms emphasizing high productivityBusinesses needing data insights across sectors
Search & Comparison IntentUnderstanding high-performing roles, performance standardsAnalyzing data roles, skills, and career paths

High Performance roles focus on exceeding productivity and efficiency metrics within fast-paced environments, often requiring specialized skills and certifications. Data Analysts interpret data to inform business decisions, typically with a focus on data collection, analysis, and reporting. While both roles demand analytical skills, High Performance emphasizes output and results, whereas Data Analysts concentrate on data insights and interpretation.

What are high performance careers?

High performance careers refer to roles that require exceptional skills, productivity, and results, often in competitive or demanding industries such as technology, finance, or engineering. These careers typically involve continuous learning, strong work ethic, and the use of specialized tools or certifications to achieve top-level performance.

What are popular job titles related to High Performance jobs in California?

For High Performance jobs in California, the most frequently searched job titles are:

What job categories do people searching High Performance jobs in California look for?

The top searched job categories for High Performance jobs in California are:

High Performance jobs near you
Infographic showing various High Performance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $67,355 per year, or $32.4 per hour.

High Performance Computing Engineer

Onesubsea

Sunnyvale, CA • On-site

$120 - $160/hr

Other

Posted 4 days ago

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).
#J-18808-Ljbffr

Apply