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Tesla Physics Jobs (NOW HIRING)

... 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.

Senior 3D Printing R&D Engineer

Boston, MA

$113K - $155K/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.

Staff Reliability Engineer

Burlingame, CA

$115K - $145K/yr

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... Develop physics-of-failure lifetime models and close the loop by performing failure root cause ...

Staff Reliability Engineer

Burlingame, CA · On-site

$115K - $145K/yr

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... Develop physics-of-failure lifetime models and close the loop by performing failure root cause ...

Staff Reliability Engineer

Burlingame, CA · On-site

$115K - $145K/yr

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... Develop physics-of-failure lifetime models and close the loop by performing failure root cause ...

Staff Reliability Engineer

San Francisco, CA

$120K - $152K/yr

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... Develop physics-of-failure lifetime models and close the loop by performing failure root cause ...

... 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.

... 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.

... 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.

... 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.

... 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 ...

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Tesla Physics information

See salary details

$11K

$61.2K

$94.5K

How much do tesla physics jobs pay per year?

As of Jun 26, 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.

Was Tesla a physicist or engineer?

Nikola Tesla was primarily an inventor and electrical engineer known for his work in electromagnetism and wireless communication. While he had a strong background in physics, his contributions were mainly in engineering and applied sciences, often involving experimental and practical work. The role of a Tesla today would typically involve a combination of physics knowledge and engineering skills, especially in electrical and mechanical engineering fields.

What are the key skills and qualifications needed to thrive as a Physicist at Tesla, and why are they important?

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 the highest paying job at Tesla?

At Tesla, executive roles such as Vice President or Senior Director tend to be the highest paying positions, often earning multi-million dollar compensation packages including salary, stock options, and bonuses. These roles typically require extensive experience, advanced technical knowledge, and leadership skills in engineering, manufacturing, or business operations.

Does Nvidia hire physicists?

Nvidia hires physicists for roles related to hardware development, research, and AI technology, often requiring expertise in optics, quantum mechanics, or materials science. Physicists working at Nvidia may contribute to GPU design, simulation, or advanced computing projects, typically needing strong analytical skills and experience with programming tools like CUDA. Job seekers should review specific job descriptions for required qualifications and skills.

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.

Does Tesla hire physics majors?

Tesla hires physics majors for roles in research, development, and engineering that require strong analytical and problem-solving skills. Candidates often need a relevant degree, such as a bachelor's or higher in physics or related fields, and experience with technical tools like simulations or laboratory work.
More about Tesla Physics jobs
What states have the most Tesla Physics jobs? States with the most job openings for Tesla Physics jobs include:

Machine Learning: World Models

The Bot Company

San Francisco, CA • On-site

$200K - $350K/yr

Full-time

Posted 8 hours ago


Job description

The Bot Company
We're building a helpful robot for every home.
We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.
Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.
What we look for in all candidates
All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:
  • Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.
  • Engineering curiosity: you naturally dig into how systems work, even outside your specialty.
  • High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.
Machine Learning: World Models
We are building neural simulators that understand the "grammar" of the physical world, including physics, causality, and long-term dynamics.
You will develop video generation into controllable, large-scale world models.
What You'll Do
  • Architect Neural Simulators: Design and train spatiotemporal models that move beyond short clips toward coherent, long-form world simulations.
  • Scale Training: Own the end-to-end training of multi-billion parameter models on huge clusters.
  • Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments-diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains.
Requirements
  • Very strong coding skills in Python, C++, or Rust.
  • Video Generation Expertise: Deep experience shipping/researching high-fidelity video models.
  • Architectural Intuition: Ability to design from scratch and reason about scaling laws and failure modes.
  • Infrastructure Fluency: Comfortable managing and optimizing large-scale experiments on massive GPU clusters.

Why Join
You'll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you'll thrive here.