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High Performance Jobs in California (NOW HIRING)

JPL

Postdoc: High-Performance Atomic Clocks

Pasadena, CA · On-site

$53K - $72K/yr

The Flight Communications & Tracking section at JPL is seeking a postdoc to conduct research on high-performance atomic and ion-based clocks. This role focuses on advancing experimental quantum ...

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High Performance information

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$32.1K

$67.4K

$110.5K

How much do high performance jobs pay per year?

As of Jun 8, 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 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 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 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 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 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 May 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $67,355 per year, or $32.4 per hour.
Senior High-Performance LLM Training Engineer

Senior High-Performance LLM Training Engineer

Nvidia

Santa Clara, CA • Hybrid

Full-time

Posted 24 days ago

Job description

We are now looking for a Senior High-Performance LLM Training Engineer!

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.

What you will be doing:

  • Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.

  • Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.

  • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.

  • Build and support NVIDIA submissions to the MLPerf Training benchmark suite.

  • Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.

  • Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

  • PhD in Computer Science, Electrical Engineering or Computer Engineering and 5+ years; or MS (or equivalent experience) and 8+ years of meaningful work experience.

  • Strong background in deep learning and neural networks, in particular training.

  • A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.

  • Proven experience analyzing and tuning application performance & processor and system-level performance modelling.

  • Programming skills in C++, Python, and CUDA.

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.

Widely considered to be one of tech's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Additionally, this opportunity offers you the ability to collaborate with some of the most forward-thinking and hard-working people in the world, shaping the future of AI in a creative and autonomous work environment that encourages innovation. If you're excited to work across the full hardware & software stack-from GPU architecture to application code-to achieve optimal performance, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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