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Human Performance Phd Jobs in California (NOW HIRING)

1X Technologies AS

Tactile Sensing Research Engineer

San Carlos, CA · On-site

$200K - $250K/yr

  • Medical

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We identify the gaps between current robotic capabilities and human performance, then pursue the ... PhD in Robotics, Electrical Engineering, Mechanical Engineering, Materials Science, Bioengineering ...

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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.

GPU Performance Architect

Advanced Micro Devices, Inc

Folsom, CA • On-site

$126K/yr

Full-time

Re-posted 21 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 157 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.

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