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Performance Science Jobs in California (NOW HIRING)

GDIT

Cognitive Performance Specialist

Coronado, CA

Master's degree (Doctoral degree preferred) in Human Performance, Kinesiology, or Exercise Science, and/or Sport Sciences with a specialization in Sport Psychology. LICENSES/CERTIFICATIONS: * Must ...

Graphcore

AI Performance Engineer

Milpitas, CA · On-site

This role focuses on optimizing performance across ARM-based architectures and large-scale ... Science, Electrical Engineering, or related field * Experience with distributed systems and ...

Google

Senior CPU Performance Architect

Mountain View, CA · On-site

$197K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related ... Experience with performance modeling, analysis, correlation, and workload characterization and ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

We're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure ... Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field * 5+ ...

Etched

Performance Modeling Engineer

Cupertino, CA · On-site

Our ASIC systems deliver orders of magnitude higher performance than conventional AI chips. Etched ... Master's or PhD degree Computer Science, or a related technical field. * Experience in computer ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

We're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure ... Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field * 5+ ...

Etched

Performance Modeling Engineer

Cupertino, CA · On-site

Our ASIC systems deliver orders of magnitude higher performance than conventional AI chips. Etched ... Master's or PhD degree Computer Science, or a related technical field. * Experience in computer ...

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All JobsPerformance Science JobsPerformance Science Jobs in California

Performance Science information

See California salary details

$39.5K

$98.2K

$151.5K

How much do performance science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for performance science in California is $98,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $124,400.00 per year, depending on experience, location, and employer.

What is the difference between Performance Science vs Sports Scientist?

AspectPerformance ScienceSports Scientist
Required CredentialsDegree in exercise science, sports science, or related fields; certifications in performance or strength coachingDegree in sports science, exercise physiology, or related fields; certifications in sports performance
Work EnvironmentResearch labs, athletic training facilities, performance centersSports teams, athletic clubs, research institutions
Employer & Industry UsageUsed by sports organizations, research institutions, and performance centersCommonly employed by sports teams, universities, and sports medicine clinics

Performance Science and Sports Scientist roles overlap in credentials and work environments, but Performance Science often emphasizes research and data analysis to optimize athletic performance, while Sports Scientists focus more on direct athlete testing and training programs. Both roles are vital in sports performance but differ slightly in scope and application.

What is performance science?

Performance science is an interdisciplinary field that studies the factors influencing high-level performance in areas such as sports, the arts, business, and other domains. It combines insights from psychology, physiology, neuroscience, and other disciplines to understand and improve how individuals and teams perform under various conditions. Performance scientists often work to enhance training methods, optimize mental and physical preparation, and develop strategies for achieving peak performance. Their work can involve research, coaching, and collaboration with professionals to implement evidence-based practices.

What are the key skills and qualifications needed to thrive as a Performance Scientist, and why are they important?

To thrive as a Performance Scientist, you typically need a strong background in exercise science, physiology, data analysis, and often a related degree such as sports science or kinesiology. Familiarity with performance monitoring tools, data collection software, and certifications like CSCS (Certified Strength and Conditioning Specialist) are commonly required. Excellent communication, problem-solving, and collaboration skills help you translate data into actionable insights for athletes and coaches. These skills are crucial for optimizing athletic performance, preventing injuries, and supporting evidence-based training decisions.

What are some typical challenges faced by professionals working in Performance Science, and how can they be addressed?

Professionals in Performance Science often encounter challenges such as translating complex data into actionable insights for athletes or teams, managing the expectations of coaches and stakeholders, and staying current with evolving technologies and research. Addressing these challenges requires strong communication skills, continuous professional development, and the ability to work collaboratively within multidisciplinary teams. Building trust with athletes and staff and presenting data in a clear, practical manner are also key to ensuring that scientific recommendations are successfully implemented.
What are popular job titles related to Performance Science jobs in California? For Performance Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Performance Science jobs in California look for? The top searched job categories for Performance Science jobs in California are:
Performance Science jobs near you
Infographic showing various Performance Science job openings in California as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, 2% Temporary, and 2% Contract. Highlights an 100% In-person job distribution, with an average salary of $98,224 per year, or $47.2 per hour.

High Performance Computing (HPC) Engineer

GenBio AI

Palo Alto, CA

$170K - $260K/yr

Full-time

Posted 25 days ago

Job description

Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Job Description
  • GPU Cluster Management: Design, deploy, and maintain high-performance GPU clusters, ensuring their stability, reliability, and scalability. Monitor and manage cluster resources to maximize utilization and efficiency.
  • Distributed/Parallel Training: Implement distributed computing techniques to enable parallel training of large deep learning models across multiple GPUs and nodes. Optimize data distribution and synchronization to achieve faster convergence and reduced training times.
  • Performance Optimization: Fine-tune GPU clusters and deep learning frameworks to achieve optimal performance for specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
  • Deep Learning Framework Integration: Collaborate with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI's model development and deployment frameworks. 
  • Scalability and Resource Management: Ensure that the GPU clusters can scale effectively to handle increasing computational demands. Develop resource management strategies to prioritize and allocate computing resources based on project requirements. 
  • Troubleshooting and Support: Troubleshoot and resolve issues related to GPU clusters, distributed training, and performance anomalies. Provide technical support to users and resolve technical challenges efficiently.
  • Documentation: Create and maintain documentation related to GPU cluster configuration, distributed training workflows, and best practices to ensure knowledge sharing and seamless onboarding of new team members.
Job Requirements:
  • Master's or Ph.D. degree in computer science, or a related field with a focus on High-Performance Computing, Distributed Systems, or Deep Learning.
  • 2+ years proven experience in managing GPU clusters, including installation, configuration, and optimization.
  • Strong expertise in distributed deep learning and parallel training techniques.
  • Proficiency in popular deep learning frameworks like PyTorch, Megatron-LM, DeepSpeed, etc.
  • Programming skills in Python and experience with GPU-accelerated libraries (e.g., CUDA, cuDNN).
  • Knowledge of performance profiling and optimization tools for HPC and deep learning.
  • Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)
  • Strong background in distributed systems, cloud computing (AWS, GCP), and containerization (Docker, Kubernetes)
$170,000 - $260,000 a year
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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