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Tesla Physics Jobs (NOW HIRING)

Specter

Architecture

San Francisco, CA · On-site

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... from physics, math, or measurement instead of analogy. * Strong engineering fundamentals across ...

Formlabs

R&D Engineer

Somerville, MA

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... We use engineering, physics, and experimentation to turn ideas into beautiful and reliable products.

Cognition

Business Operations

San Francisco, CA · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Have a technical degree (CS, engineering, math, physics) even if you took a non-technical career ...

Cspeed

FEA Packaging Engineer

Palo Alto, CA · On-site

... Tesla, Apple, Samsung, Intel, and VMware. Cspeed IO is developing next-generation optical ... Scope and Impact This position provides the physics basis for package architecture decisions and ...

Cspeed

Thermal Simulation Engineer

Palo Alto, CA · On-site

... Tesla, Apple, Samsung, Intel, and VMware. Cspeed IO is developing next-generation optical ... MS or PhD in Mechanical Engineering, Electrical Engineering, Physics, or equivalent practical ...

Formlabs

R&D Engineer

Somerville, MA · On-site

$90K - $120K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... We use engineering, physics, and experimentation to turn ideas into beautiful and reliable products.

Tacit

Senior RF Validation Engineer

San Francisco, CA · On-site

$150K - $200K/yr

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... Bachelor's or Master's degree in Electrical Engineering, RF Engineering, Physics, or related ...

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Tesla Physics information

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$11K

$61.2K

$94.5K

How much do tesla physics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for tesla physics in the United States is $61,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $64,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a physicist at Tesla?

To thrive as a Physicist at Tesla, you generally need an advanced degree in physics or a related field, strong analytical skills, and experience with experimental or applied physics methods. Familiarity with simulation software (such as COMSOL or MATLAB), data analysis tools, and laboratory instrumentation is typically required. Strong problem-solving abilities, effective communication, and teamwork are soft skills that set outstanding candidates apart. These skills and qualifications are crucial for driving innovation, solving complex engineering challenges, and contributing to Tesla’s mission of advancing sustainable technology.

What does a Tesla physicist do?

A Tesla physicist typically focuses on research and development in areas such as electromagnetism, energy storage, materials science, and applied physics to support Tesla's innovations in electric vehicles, battery technology, and renewable energy solutions. They use advanced physics principles to solve technical challenges, improve product efficiency, and develop new technologies. Their work may involve theoretical analysis, simulation, experimental testing, and collaboration with engineers and other scientists. Tesla physicists play a crucial role in pushing the boundaries of sustainable technology.

What is Tesla physics?

Tesla physics typically refers to the study and application of electromagnetic phenomena related to Nikola Tesla's work, including high-voltage, high-frequency, and wireless energy transfer technologies. In a job context, roles may involve research, development, or engineering in electrical or plasma physics, often requiring knowledge of electromagnetism, circuit design, and specialized equipment. Such positions may also require familiarity with safety protocols for working with high-voltage systems.

What types of projects do physicists typically work on at Tesla, and how do they collaborate with engineering teams?

Physicists at Tesla are often involved in projects that require deep understanding of materials science, energy systems, and advanced simulation techniques. They collaborate closely with engineers to develop and refine technologies for batteries, electric powertrains, and manufacturing processes. This collaboration usually involves regular cross-functional meetings, shared research initiatives, and hands-on experimentation to solve complex technical challenges. The environment is fast-paced and innovation-driven, providing opportunities for physicists to contribute their expertise while learning from multidisciplinary teams.

What is the difference between Tesla Physics vs Tesla Engineer?

AspectTesla PhysicsTesla Engineer
Required CredentialsPhysics degree, research experienceEngineering degree, technical skills
Work EnvironmentResearch labs, R&D departmentsManufacturing, product development
Industry UsageFocus on fundamental research and physics principlesDesign, testing, and implementation of Tesla products

Tesla Physics roles primarily involve research and understanding fundamental physical principles, often requiring advanced degrees in physics. Tesla Engineers focus on applying engineering principles to develop and improve Tesla's products, working closely with manufacturing and design teams. While both roles are integral to Tesla's innovation, Tesla Physics is more research-oriented, whereas Tesla Engineers are more product-focused.

More about Tesla Physics jobs
What states have the most Tesla Physics jobs? States with the most job openings for Tesla Physics jobs include:
What job categories do people searching Tesla Physics jobs look for? The top searched job categories for Tesla Physics jobs are:
Tesla Physics jobs near you
Infographic showing various Tesla Physics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.

Senior Robotics Software Engineer, Simulation & Evaluation

FieldAI

Irvine, CA • On-site

$155K - $180K/yr

Full-time

Re-posted 18 days ago

Job description

About the Role
We are looking for a Robotics Simulation Software Engineer to build and improve Field AI's internal simulation tools used for autonomy development, debugging, and evaluation.
This role is for someone who goes beyond simply running simulators. We are looking for an engineer who can maintain and extend simulation systems, improve code quality and fidelity, debug simulator-to-robot gaps, and help turn real-world robot behavior into reproducible simulation scenarios.
You will work closely with autonomy, infrastructure, and field teams to make simulation a practical part of the development loop: reproduce field issues, improve autonomy, and validate robot behavior before returning to the field.
$155,000 - $180,000 a year
What You'll Get To Do
  • Maintain, refactor, and improve internal robotics simulation tools and infrastructure.
  • Improve simulation fidelity for autonomy evaluation, including robot behavior, sensor modeling, timing, terrain interaction, and environment representation.
  • Build workflows for scenario execution, log replay, regression testing, metrics, and visualization.
  • Develop real-to-sim workflows that turn field logs, reconstructed environments, and failure cases into reproducible simulation scenarios.
  • Work with autonomy and field teams to identify and debug gaps between simulated and real robot behavior.
  • Improve developer workflows around simulation performance, reproducibility, debugging, and test automation.
  • Contribute to the long-term simulation strategy for legged robots and humanoids operating in complex real-world environments.
What You Have
  • 3+ years of experience developing robotics simulation tools, simulation infrastructure, autonomy evaluation systems, or related robotics software.
  • Strong software engineering skills in C++ and/or Python.
  • Experience with simulation platforms such as Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or custom robotics simulators.
  • Familiarity with ROS2 or similar robotics middleware, including sensors, transforms, logs, and timing.
  • Experience with robot or simulation assets such as URDF, SDF, meshes, dynamics, or sensor models.
  • Ability to debug simulator-to-robot gaps across sensing, timing, dynamics, and autonomy behavior.
  • Comfortable working across research code, production robotics software, simulation infrastructure, and real-world robot deployment workflows.
What Will Set You Apart
  • Experience developing simulator plugins, custom sensor models, physics extensions, terrain/contact models, or environment authoring tools.
  • Experience with large-scale batch simulation, CI-based regression testing, deterministic replay, or scenario evaluation infrastructure.
  • Experience using real-world robot data to validate, tune, or improve simulation models.
  • Experience with software-in-the-loop, hardware-in-the-loop, log replay, or simulation correlation.
  • Experience with legged robots, humanoids, field robotics, or robots operating in unstructured environments.
  • Experience with Isaac Sim, Omniverse, USD, PhysX, ROS2, Docker, CMake, Bazel, or GitHub Actions.
What Will Set You Apart
  • Experience developing simulator plugins, custom sensor models, physics extensions, rendering pipelines, terrain/contact models, robot model generators, or environment authoring tools.
  • Experience building large-scale batch simulation, CI-based autonomy regression testing, deterministic replay, or scenario evaluation infrastructure.
  • Ability to use real-world robot data to validate, tune, or improve simulation models and autonomy evaluation workflows.
  • Experience with software-in-the-loop, hardware-in-the-loop, log replay, simulation correlation, or regression testing infrastructure.
Why Join Field AI
  • Build simulation systems that connect real-world robot deployment with faster, safer autonomy development.
  • Help turn field data into reproducible simulation scenarios and simulation results into more reliable deployed robots.
  • Work with a hands-on robotics team focused on autonomy in complex, unstructured, previously unknown environments.
  • Contribute to systems that are already being deployed globally and improving through real field experience.

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. Witha decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or an
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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