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Tesla Physics Jobs (NOW HIRING)

Tesla

Space Radiation Engineer, AI Hardware

Palo Alto, CA · On-site

$160K - $414K/yr

Degree in Physics, Electrical Engineering, Aerospace Engineering, or related technical field, or ... Tesla Babies program * Commuter benefits * Employee discounts and perks program Expected ...

Nudge

MR Physicist

San Francisco, CA · On-site

Build, validate, and deploy your applications on our state-of-the-art 3 Tesla Siemens Cima.X ... Strong engineering / physics first principles * An exceptional track record of building novel MRI ...

nudge

MR Physicist

San Francisco, CA · On-site

Build, validate, and deploy your applications on our state-of-the-art 3 Tesla Siemens Cima.X ... Strong engineering / physics first principles * An exceptional track record of building novel MRI ...

Everstar Inc

Founding AI Engineer

New York, NY · On-site

... physics-informed AI, world models, and simulation acceleration. You'll be joining the Apollo Team of Nuclear . You'll build alongside engineers from Tesla, SpaceX, Lockheed Martin, Google, and ...

Lightsource

Senior Product Manager

San Francisco, CA · On-site

$120 - $180/hr

Ideally computerscience, engineering, information systems, mathematics, physics, appliedsciences ... Tesla,Waymo, Google, Meta, Amazon, Dropbox, Airbnb and many more). And now we'retackling an ...

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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.

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$122K - $164K/yr

Full-time

Re-posted 21 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you’ll transform cutting-edge AI research into deployable, safety-critical systems that power Tesla’s vehicles and humanoid robots, collaborating closely with hardware and firmware teams to improve vehicle systems and customer experience.
Responsibilities:
• Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems
• Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and train end-to-end models for control of all vehicle accessories required for autonomous operation
• Lead a machine learning vertical: define data strategies and labeling pipelines, design network architectures, train models, validate with real-world fleet data, and integrate within Tesla’s AI stack
• Integrate directly with vehicle firmware and ship production-quality, safety-critical software to the entirety of Tesla’s vehicle fleet
• Have an outsized impact by shipping your models to millions of Tesla vehicles worldwide
Qualifications:
Required:
• Strong physics and mathematical fundamentals
• Proficiency in writing production-quality code in Python and experience with any major deep learning framework
• Proficiency in modern C++ to integrate with vehicle firmware and take projects from ideas to shipped products
• Experience designing, training, deploying, and evaluating models on an actual physical platform (e.g., robots, drone, etc.)
• An 'under the hood' knowledge of deep learning modern architectures, optimization, quantization, and model alignment
• Ability to think 'out-of-the-box' to push performance beyond apparent limitations
• Excellent problem-solving, critical thinking, and communication skills
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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