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Particle Physics Jobs in California (NOW HIRING)

TAE

Experimental Plasma Physicist

Foothill Ranch, CA · On-site

$125K - $140K/yr

The successful candidate will join the Radiation and Energetic Particle Physics Team in the Applied Plasma Physics Division under the guidance of the Lead Scientist. * Develop and refine diagnostic ...

Causal Labs

Strategy & Operations

San Francisco, CA · On-site

Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN. We ...

Causal Labs

Recruiter & Sourcer

San Francisco, CA · On-site

Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN. We ...

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All JobsParticle Physics JobsParticle Physics Jobs in California

Particle Physics information

See California salary details

$10.9K

$60.4K

$93.3K

How much do particle physics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for particle physics in California is $60,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $63,700.00 per year, depending on experience, location, and employer.

What do particle physicists do?

Particle physicists study the fundamental particles that make up matter and the forces that govern their interactions. They conduct experiments using particle accelerators, develop theoretical models, and analyze data to uncover the basic building blocks of the universe. Their work helps us understand phenomena such as the origin of mass, the nature of dark matter, and the fundamental laws of physics. Particle physicists often collaborate in large international teams and may contribute to breakthroughs in technology and medicine through their research.

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

To thrive as a Particle Physicist, you need a strong background in physics and mathematics, usually demonstrated by a Ph.D. in particle physics or a closely related field. Proficiency with programming languages (such as Python or C++), data analysis tools, and experience with particle detectors or accelerator systems is typically required. Critical thinking, problem-solving, and effective collaboration are vital soft skills for designing experiments and interpreting complex data. These skills and qualities are essential for advancing scientific understanding and contributing to collaborative research in a highly technical and innovative field.

What are some common challenges faced by particle physicists in experimental research settings?

Particle physicists working in experimental settings often face challenges such as managing vast amounts of complex data from particle detectors and collaborating within large, international teams. The work frequently involves troubleshooting sophisticated equipment, adhering to strict safety protocols, and adapting to rapidly evolving technologies. Additionally, long-term experiments may require patience and persistence due to the lengthy data collection and analysis phases. Effective communication and strong teamwork skills are essential, as findings must be coordinated and shared with global collaborators.

What is the difference between Particle Physics vs Nuclear Physics?

AspectParticle PhysicsNuclear Physics
Required CredentialsPhysics degree, PhD often preferred, specialized training in subatomic particlesPhysics or nuclear engineering degree, often with specialized nuclear coursework
Work EnvironmentResearch labs, particle accelerators, universitiesNuclear reactors, research facilities, laboratories
Industry UsageFundamental research, CERN, particle detector developmentNuclear energy, medical imaging, nuclear safety

Particle Physics focuses on understanding the fundamental particles and forces of the universe, often working with large accelerators like CERN. Nuclear Physics studies the properties and reactions of atomic nuclei, with applications in energy and medicine. While both fields require a physics background, their research environments and industry applications differ significantly.

Is particle physics a good career?

Particle physics is a specialized field that involves research at universities, laboratories, and research institutions, often requiring advanced degrees such as a Ph.D. Skills in mathematics, programming, and data analysis are essential. Careers can be competitive and may involve long hours, but they offer opportunities for groundbreaking discoveries and contributions to fundamental science.

What can I do with a degree in particle physics?

A degree in particle physics prepares individuals for careers in research, academia, and industry, including roles such as research scientist, data analyst, or laboratory technician. Graduates often work in high-energy physics laboratories, develop advanced analytical skills, and may pursue further education like a Ph.D. to access more specialized positions.

What are the most commonly searched types of Particle Physics jobs in California?

The most popular types of Particle Physics jobs in California are:

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

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

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

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

What cities in California are hiring for Particle Physics jobs?

Cities in California with the most Particle Physics job openings:

Particle Physics jobs near you
Infographic showing various Particle Physics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $60,359 per year, or $29 per hour.

Heavy-Ion Physics and Scientific Machine Learning - Postdoctoral Researcher

LLNL

Livermore, CA • On-site

$9.8K/wk

Full-time

Retirement

Posted 21 days ago

Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have an opening for a Postdoctoral Researcher to contribute to experimental heavy-ion physics, detector development, and scientific machine learning within Lawrence Livermore National Laboratory's Particle Physics Group. You will play a leading role in the analysis of data from the sPHENIX experiment at Brookhaven National Laboratory and the ATLAS experiment at CERN, while contributing to DOE Office of Science Nuclear Physics (DOE-NP) and Genesis Mission-funded research milestones focused on advanced AI methods for nuclear physics. Research activities span precision measurements of jet quenching, ultra-peripheral collisions, detector performance studies, and the development of next-generation machine learning techniques for particle reconstruction and multimodal data analysis. This position is in the Particle Physics Group within the Nuclear and Chemical Sciences Division.
Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.
You will
  • Perform physics analyses using data from the ATLAS and sPHENIX experiments to study the quark-gluon plasma, jet quenching, and heavy-ion collisions.
  • Participate in detector operations, commissioning, calibration, performance studies, and data quality monitoring within the ATLAS and sPHENIX collaborations.
  • Develop reconstruction, simulation, and analysis software using modern C++, Python, ROOT, and HPC/Grid computing resources for processing multi-petabyte experimental datasets.
  • Develop and apply state-of-the-art artificial intelligence and scientific machine learning techniques for particle identification, jet reconstruction, and event interpretation.
  • Contribute to DOE-NP and Genesis-funded project milestones focused on multimodal learning, detector performance improvements, and scalable AI methods for experimental nuclear physics.
  • Present research at collaboration meetings, DOE reviews, workshops, and international conferences.
  • Publish results in leading peer-reviewed journals.
  • Collaborate with physicists, computer scientists, and applied mathematicians across LLNL and external institutions.
  • Perform other duties as assigned.

Qualifications
  • Ph.D. in Physics, Nuclear Physics, High Energy Physics or a closely related discipline.
  • Demonstrated research experience in experimental nuclear or particle physics.
  • Experience analyzing large scientific datasets using ROOT, Python, C++, or similar scientific software frameworks.
  • Experience developing scientific software in Linux environments using modern programming practices.
  • Experience with statistical analysis and uncertainty quantification.
  • Excellent written and verbal communication skills, including publications and scientific presentations.
  • Ability to work effectively in large international collaborations.

Qualifications We Desire
  • Experience with the ATLAS, sPHENIX, RHIC, LHC, CMS, ALICE, or STAR collider experiments.
  • Experience with jet physics, heavy-ion collisions, and detector performance studies.
  • Experience in scientific machine learning, deep learning, foundation models, or multimodal AI.
  • Experience with GPU programming, high-performance computing, distributed computing, or large-scale workflow management.
  • Experience developing reconstruction, simulation, or detector calibration software.
  • Familiarity with modern machine learning frameworks such as PyTorch and TensorFlow.

Pay Range
$123,048 Annually
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Additional Information
#LI-Hybrid
Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
Why Lawrence Livermore National Laboratory?
  • Included in 2026 Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
Videos To Watch
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