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Human Performance Phd Jobs in California (NOW HIRING)

Human Archive

Research Engineer

San Francisco, CA · On-site

$100K - $200K/yr

About Human Archive Human Archive is a research lab backed by Y Combinator focused on modeling ... Master's or PhD in robotics, computer vision, sensing systems, or related fields * Published ...

SRI International

Intern, Sleep Lab

Menlo Park, CA

$17.55 - $23/hr

The Human Sleep Research Program within SRI's Center for Health Sciences conducts multidisciplinary ... Current Bachelors/Masters/PhD student in psychology, neuroscience, biology, cognitive science, or a ...

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Human Performance Phd information

What is a Human Performance PhD?

A Human Performance PhD is an advanced research degree focused on understanding and optimizing human physical capabilities, health, and well-being. Students in this program typically study topics such as exercise physiology, biomechanics, motor learning, and sports psychology. Graduates often pursue careers in academia, research, sports science, or health-related fields. The program involves both coursework and original research culminating in a dissertation. This degree prepares individuals to contribute to advancements in human performance and health.

What are some common challenges faced by Human Performance PhD professionals when transitioning from academia to industry roles?

Human Performance PhD professionals often find that transitioning from academia to industry requires adapting to faster-paced project timelines, a greater emphasis on teamwork, and a need for clear, actionable results. Unlike academia, where research depth and publication are prioritized, industry roles typically focus on practical applications, data-driven decision-making, and collaboration with multidisciplinary teams. Building strong communication skills and learning to translate research findings into solutions that address business needs are key to a smooth transition.

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

To thrive as a Human Performance PhD, you need advanced knowledge in exercise science, physiology, biomechanics, and research methodology, typically supported by a doctoral degree in a related field. Experience with statistical analysis software like SPSS or R, lab equipment for physiological testing, and relevant research certifications are commonly required. Exceptional analytical thinking, communication, and collaboration skills help you design studies, publish findings, and work with multidisciplinary teams. These competencies are crucial for driving innovation, ensuring valid research outcomes, and enhancing performance strategies in academic or applied settings.

What is the difference between Human Performance Phd vs Human Factors Specialist?

AspectHuman Performance PhdHuman Factors Specialist
Required CredentialsPhD in Human Performance or related fieldBachelor's or Master's in Human Factors or related field, often with certifications
Work EnvironmentResearch institutions, academia, or advanced consultingIndustry settings, technology companies, government agencies
Employer & Industry UsageResearch-focused organizations, universitiesDesign, usability, safety in tech, aerospace, healthcare

While both roles focus on optimizing human interaction with systems, a Human Performance Phd typically involves advanced research and academic work, whereas a Human Factors Specialist applies practical design and usability principles in industry settings. The Phd is more research-oriented, while the specialist role emphasizes applied skills in real-world environments.

What can I do with a human performance Phd?

A Human Performance PhD prepares individuals for careers in research, academia, sports science, rehabilitation, and organizational consulting. Graduates often work as researchers, university professors, sports performance specialists, or human factors consultants, utilizing skills in data analysis, biomechanics, and physiology. Certification and experience in related tools or methodologies can enhance employment opportunities.

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

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

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

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

What cities in California are hiring for Human Performance Phd jobs?

Cities in California with the most Human Performance Phd job openings:

Human Performance Phd jobs near you
Infographic showing various Human Performance Phd job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about advancing AI in gaming, robotics, and more by employing human intelligence and human interaction to shape perception, learning, and behavior. We bridge vision science, HCI, and HRI to create systems that perceive, learn, and collaborate with people safely and effectively. You will be working in a team of research scientists and engineers from varied backgrounds and will closely collaborate with product engineers. Join us in redefining the future of AI and human interaction!
What you'll be doing:
  • Propose, research, prototype and test innovative research ideas.
  • Publish at top conferences and patent novel inventions.
  • Collaborate with other research team members, external researchers, and mentor interns.
  • Create working interactive demonstrations to showcase your research ideas.
  • Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.

What we need to see:
  • Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
  • Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
  • Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
  • Proficiency with Python, Rust, and/or C++.
  • Experience with AI model training and evaluation frameworks, like PyTorch.

Ways to stand out from the crowd
  • Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
  • Experience with multi-node, multi-GPU training and inference workflows.
  • Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
  • A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 25, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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