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Physics In Energy Jobs in California (NOW HIRING)

Peak Energy

Techno-Economic Product Manager

Burlingame, CA

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

What You'll Bring (Qualifications) Bachelor's or Master's degree in Engineering, Applied Physics, Energy Systems, or a related technical field. 5+ years of experience in energy storage, power systems ...

Peak Energy

Techno-Economic Product Manager

Burlingame, CA · On-site

$170K - $210K/yr

Bachelor's or Master's degree in Engineering, Applied Physics, Energy Systems, or a related technical field. * 5+ years of experience in energy storage, power systems, renewables, or grid-connected ...

Peak Energy

Techno-Economic Product Manager

Burlingame, CA · On-site

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

What You'll Bring (Qualifications) • Bachelor's or Master's degree in Engineering, Applied Physics, Energy Systems, or a related technical field. • 5+ years of experience in energy storage, power ...

Fuse

Computational Physicist

San Leandro, CA · On-site

Strong background in computational plasma physics and high-energy-density physics. * Experience with Screamer, MAGIC, HYDRA, or similar circuit and plasma codes. * Proficiency in MHD and PIC ...

LLNL

Field Health Physicist

Livermore, CA · On-site

$9.6K/wk

  • Retirement

Master's degree or PhD in Health Physics, or another related technical area and/or Certification by the American Board of Health Physics. * Knowledge and experience with Department of Energy (DOE ...

Meta

Energy Manager, Power Delivery

Menlo Park, CA · On-site +1

$202K/yr

In this role, you will be a key contributor to Meta's data center energy strategy, specifically ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

LLNL

Senior Laser Modeling Physicist

Livermore, CA · On-site

  • Retirement

It is an exciting time to join the team that achieved fusion ignition in December 2022, a historic moment in science, opening up new physics regimes and setting the stage for new fusion energy ...

LLNL

Field Health Physicist

Livermore, CA · On-site

  • Retirement

Master's degree or PhD in Health Physics, or another related technical area and/or Certification by the American Board of Health Physics. * Knowledge and experience with Department of Energy (DOE ...

LLNL

Senior Laser Modeling Physicist

Livermore, CA · On-site

$9.8K/wk

  • Retirement

It is an exciting time to join the team that achieved fusion ignition in December 2022, a historic moment in science, opening up new physics regimes and setting the stage for new fusion energy ...

LLNL

Field Health Physicist

Livermore, CA · Hybrid

  • Retirement

Master's degree or PhD in Health Physics, or another related technical area and/or Certification by the American Board of Health Physics. * Knowledge and experience with Department of Energy (DOE ...

LLNL

Senior Laser Modeling Physicist

Livermore, CA · On-site

  • Retirement

It is an exciting time to join the team that achieved fusion ignition in December 2022, a historic moment in science, opening up new physics regimes and setting the stage for new fusion energy ...

Zoox

Senior Energy Engineer

Foster City, CA · On-site

$185K - $225K/yr

  • Medical

  • Life

  • PTO

Bachelor's degree in engineering, physics, or a related technical field * 7+ years of direct experience in system design and energy management in vehicular or robotics domains * Familiarity with ...

Zoox

Senior Energy Engineer

Foster City, CA

$185K - $225K/yr

Bachelor's degree in engineering, physics, or a related technical field * 7+ years of direct experience in system design and energy management in vehicular or robotics domains * Familiarity with ...

Zoox

Senior Energy Engineer

Foster City, CA

$185K - $225K/yr

  • Medical

  • Life

  • PTO

Bachelor's degree in engineering, physics, or a related technical field * 7+ years of direct experience in system design and energy management in vehicular or robotics domains * Familiarity with ...

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Showing results 21-40

All JobsPhysics In Energy JobsPhysics In Energy Jobs in California

Physics In Energy information

What does a physicist in the energy sector do?

Physicists in the energy sector apply principles of physics to develop, improve, and implement technologies related to energy production, storage, and efficiency. Their work often involves researching renewable energy sources like solar, wind, or nuclear power, as well as optimizing existing energy systems. They may also be involved in addressing challenges such as energy conversion, transmission, and minimizing environmental impact. By leveraging their deep understanding of physical laws, physicists help create sustainable solutions to meet global energy demands.

How does a physicist in the energy sector typically work with multidisciplinary teams to drive innovation?

Physicists in the energy sector often collaborate closely with engineers, chemists, data analysts, and project managers to develop and optimize new technologies for energy generation, storage, or efficiency. These teams bring together diverse expertise, allowing physicists to contribute their deep understanding of physical principles to solve practical challenges such as improving solar cell efficiency or advancing battery technology. Effective communication and teamwork are essential, as physicists must frequently present complex concepts in ways that are accessible to colleagues from other backgrounds. This collaborative environment not only fosters innovation but also provides opportunities for professional growth and learning from other disciplines.

What are the key skills and qualifications needed to thrive as a physicist in the energy sector, and why are they important?

To excel as a Physics professional in the energy sector, you need a strong background in physics, mathematics, and energy systems, often supported by a relevant degree such as a BSc or MSc in Physics or Engineering. Familiarity with simulation software (like MATLAB or COMSOL), data analysis tools, and knowledge of renewable energy technologies or certifications are typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills are crucial for driving innovation and ensuring efficient, sustainable energy solutions in a rapidly evolving industry.

What is the difference between Physics In Energy vs Physics In Energy?

AspectPhysics In Energy
Required CredentialsBachelor's or Master's in Physics, Engineering, or related fields
Work EnvironmentResearch labs, energy companies, manufacturing facilities
Employer & Industry UsageEnergy sector, utilities, renewable energy firms
Common Search & ComparisonPhysics In Energy vs Physics In Energy

Physics In Energy focuses on applying physics principles to energy production, distribution, and efficiency. It involves research and practical work in energy-related industries. The role emphasizes understanding energy systems, renewable sources, and technological innovations within the energy sector. Both roles typically require similar educational backgrounds and work environments, making them closely related in the industry.

What are popular job titles related to Physics In Energy jobs in California?

For Physics In Energy jobs in California, the most frequently searched job titles are:

What job categories do people searching Physics In Energy jobs in California look for?

The top searched job categories for Physics In Energy jobs in California are:

What cities in California are hiring for Physics In Energy jobs?

Cities in California with the most Physics In Energy job openings:

Physics In Energy jobs near you
Infographic showing various Physics In Energy job openings in California as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

2026 PhD Residency - Physical ML & Hardware-in-the-Loop (Future of Compute)

X, the moonshot factory

Mountain View, CA • On-site

$109K - $157K/yr

Full-time

Re-posted 15 days ago

Job description

2 0 2 6 P h D R e s i d e n c y - P h y s i c a l M L & H a r d w a r e - i n - t h e - L o o p ( F u t u r e o f C o m p u t e )
Internship Mountain View, CA
Project Goal:This is the flagship moonshot for 'The Future of Compute' at X (the Moonshot Factory). This project is aimed at moving away from simulating physics on digital chips and instead building physical machines whose dynamics ARE the computation itself, achieving a 1,000,000x improvement in useful compute per Joule.
This residency focuses on bridging the gap between physical dynamical systems and machine learning code. Instead of modeling physics in a vacuum, you will work directly with physical silicon test chips and laboratory instrumentation to make them trainable. You will build the software-to-hardware calibration pipelines that demonstrate we can train a real physical substrate to match digital baseline accuracy at a fraction of the energy cost.
How you will make 10x impact:
  • Collaborate on building robust, real-time "hardware-in-the-loop" (HIL) training pipelines that connect active silicon oscillator arrays and memristor test-boards directly to PyTorch/JAX ML frameworks.
  • Independently design and execute experimental protocols to train real physical hardware on machine learning benchmarks (e.g., MNIST, CIFAR) using physics-aware backpropagation and equilibrium propagation.
  • Perform automated, high-velocity physical measurements to characterize non-linear physical dynamics, mapping real hardware output against digital twin simulators to quantify "reality-gap" discrepancies.
  • Analyze the effect of physical device noise, ambient thermal fluctuations, and RRAM resistance drift on live training convergence, and implement software-level algorithmic mitigation strategies (e.g., noise-injection training).
  • Investigate the physical execution of sparse, post-transformer architectures (Mamba-class SSMs) directly on physical neuromorphic arrays by developing physical weight-mapping and routing schemes.
  • Develop clean, reusable software interfaces (using Python, C++, and PyVISA) to automate lab instrumentation, making real-world physical training runs as seamless and reproducible as digital software training.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world
  • Location: X's headquarters in Mountain View, CA
  • Start Date(s): Year-round rolling basis
  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

Throughout your AI Residency you can expect:
  • To be embedded in an agile, confidential project team focused on "Monkey First" thinking-identifying and tackling critical physical risks through immediate, hands-on laboratory iteration.
  • Direct mentorship from experts in neuromorphic systems, mixed-signal test engineering, and physics-aware machine learning.
  • A collaborative environment that values technical rigor, physical measurements, and the willingness to iterate rapidly through "V0.crap" hardware setups.

What you should have:
  • Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Applied Physics, or a related STEM field.
  • Strong hands-on experience in hardware-in-the-loop (HIL) systems, laboratory automation, or writing custom software interfaces (e.g., Python, C++) to control physical instruments (oscilloscopes, parameter analyzers, source-measure units).
  • Proficiency in writing non-standard neural network training loops and custom physical simulator components in PyTorch, JAX, or C++.
  • Solid understanding of physical non-idealities (noise, drift, device-to-device variability) and how to represent them mathematically in training frameworks.
  • Ability to work in a physical laboratory environment, debug electrical setups, and rapidly prototype hardware-software interfaces.

It'd be great if you also had these:
  • Familiarity with non-volatile memory architectures (RRAM/memristors) or active analog coupled-oscillator circuits.
  • Experience in high-velocity characterization of integrated circuits or neuromorphic accelerators.

Additional public information :
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $109,000 - $157,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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