ZipRecruiter

Log In

1

Performance Science Jobs in California (NOW HIRING)

Qualcomm

Windows Performance Engineer, Staff

San Diego, CA · On-site

$134.80 - $202.20/hr

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of ... Implement software optimizations to ensure performance criteria are met. * Develop and enhance ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or ... performance improvements (5-10x) • Experience with Python and C++ in production environments ...

Google

CPU Performance Architect

Mountain View, CA · On-site

$197K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. * 8 years of experience with performance analysis ...

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+ ...

Qualcomm

CPU Performance Analysis Engineer

Santa Clara, CA · On-site

$111.20 - $166.80/hr

Bachelor's degree in Electrical Engineering, Computer Science, or related field. * 2+ years of ... Experience with hardware performance profiling tools (such as Vtune, perf), binary instrumentation ...

SLB

High Performance Computing Engineer

Sunnyvale, CA · On-site

Collaborate with data scientists, software engineers, and domain experts to identify requirements, formulate models, and integrate solutions into operational workflows. * Conduct performance analysis ...

New

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 ...

Efficient Computer

Performance Library Engineer

San Jose, CA · On-site

$130K - $230K/yr

  • Retirement

Efficient's Performance Library Engineers create and optimize libraries and frameworks that are ... Minimum Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a ...

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 ...

previous page

Showing results 41-60

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 Aug 19, 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 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?

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 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 can you do with a performance science degree?

A performance science degree prepares individuals for careers in optimizing human performance across sports, health, and workplace settings. Graduates can work as performance analysts, sports scientists, fitness trainers, or research specialists, often utilizing data analysis, biomechanics, and physiology skills. Certification and experience in related tools or methodologies can enhance job prospects.

What does a performance science do?

A performance science professional studies and applies scientific principles to improve human performance in areas such as sports, work, or daily activities. They analyze data, develop training protocols, and use tools like biomechanics, physiology, and psychology to optimize performance and recovery.

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 August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $98,224 per year, or $47.2 per hour.

GPU Performance Architect

Advanced Micro Devices, Inc

Folsom, CA • On-site

$126K/yr

Full-time

Re-posted 22 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
RTG (Radeon Technologies Group) Architecture team is passionate about developing next-generation GPU solutions. As GPU Performance Architect, you will collaborate with a strong architecture, software, and design teams on developing next generation products for data centers and super-computers. You will engage in performance modeling, analysis of ML/HPC workloads, architecture exploration and kernel prototyping. Through your prototyping, experiments and analysis, you will provide valuable insight into new and emerging hardware and software technologies and MI line of products.
THE PERSON:
You have excellent analytical and problem-solving skills, along with attention to detail.
KEY RESPONSIBILITIES:
  • Develop high-level and detailed performance models for GPU subsystems, SoCs, and multi-GPU systems.
  • Build analytical, simulation-based, and workload-driven models to predict application performance.
  • Generate performance projections for future architectures and product configurations.
  • Establish performance, latency, throughput, and efficiency KPIs early in product definition.
  • Prototype ideas across the stack from software, and firmware to architectural models to evaluate and validate ideas.
  • Collect/summarize data and simulation results for consumption by architects and design teams
  • Work with architects to propose innovative solutions that can be implemented in next generation HW and SW.
  • Write and optimize GPU kernels at different levels of abstractions (assembly, Hip, Triton, .. etc).
  • Write microbenchmarks that can be used for competitive analysis and performance verification.

PREFERRED EXPERIENCE:
  • Knowledge in GPU architectures, basic knowledge of CPU architecture
  • Experience in developing high level and cycle accurate performance simulators
  • Experience in machine learning (ML) networks and frameworks including TensorFlow and PyTorch
  • Experience in building libraries for key ML operators (e.g., GEMMs, Attention, Collectives).
  • Understanding of Compute API's such as CUDA, and OpenCL
  • Background in Network-on-Chip (NoC) design and interconnect systems
  • Strong programming foundation in C, C++, and scripting languages (Python, etc.)
  • Experience in the compiler stack (graph compilers, MLIR, LLVM, .. etc) is a plus
  • Experience in hardware modeling and design using RTL or System C is a plus

ACADEMIC CREDENTIALS:
  • Undergrad degree required. Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred

ACADEMIC CREDENTIALS:
  • Bachelors or Masters degree in computer engineering/Electrical Engineering

ALTERNATE LOCATIONS:
  • Santa Clara, California

This role is not eligible for visa sponsorship.
#LI-TB1
#LI-Hybrid
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply