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Tesla Engineering Jobs (NOW HIRING)

Sr. Software Engineer, Payments Experience

Fremont, CA · On-site

$134.50K - $177.30K/yr

Tesla is a company dedicated to accelerating the world's transition to sustainable energy. They are seeking a Senior Software Engineer to develop secure and intuitive payment components that enhance ...

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Data Engineer, Low Voltage

Palo Alto, CA · On-site

$134.80K - $161.80K/yr

Tesla is on a mission to enhance customer experience through their Field Reliability Engineering team. The Data Engineer will contribute by developing and maintaining data pipelines and dashboards to ...

... Tesla platforms to enable various features Qualifications : Required : • Bachelor's Degree in a relevant engineering program such as Computer Science or Engineering, or other majors with strong ...

Reliability Data Engineer

Fremont, CA · On-site

$112.60K - $141.60K/yr

... engineering disciplines • Ability to support multiple on-going projects in a fast-paced environment Company : Tesla is an electric vehicle and clean energy company that provides electric cars ...

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Tesla Engineering information

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$32.5K

$63K

$95.5K

How much do tesla engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for tesla engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

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

To excel as a Tesla Engineer, you need a solid background in engineering principles, a relevant degree (such as electrical, mechanical, or software engineering), and strong problem-solving abilities. Familiarity with CAD software, simulation tools, and manufacturing systems, as well as experience with electric vehicle technologies, is typically required. Innovation, adaptability, and effective teamwork are critical soft skills that set top performers apart in this role. These skills and qualifications are essential for driving high-impact solutions in Tesla's fast-paced, technology-driven environment.

What collaborative opportunities can engineers expect when working at Tesla?

Engineers at Tesla frequently collaborate with cross-functional teams, including design, manufacturing, and software departments, to drive innovation and solve complex problems. This teamwork-centric environment encourages knowledge sharing and fast-paced iteration, with engineers often participating in daily stand-ups, project reviews, and brainstorming sessions. Such collaboration not only enhances personal development but also allows engineers to gain insights from diverse specialties, accelerating both product innovation and individual career growth.

What do Tesla engineers do?

Tesla engineers are responsible for designing, developing, and improving the technology and systems used in Tesla's electric vehicles, energy products, and manufacturing processes. Their roles can include working on mechanical, electrical, software, or materials engineering projects. Tesla engineers often collaborate in cross-functional teams to innovate and solve complex challenges, ensuring the company remains at the forefront of sustainable energy and automotive technology.

What is the difference between Tesla Engineering vs Tesla Mechanical Engineer?

AspectTesla EngineeringTesla Mechanical Engineer
Required CredentialsBachelor's degree in engineering, relevant certificationsBachelor's degree in mechanical engineering, possibly some certifications
Work EnvironmentDesign, development, and testing of Tesla products, cross-disciplinary teamsDesign, analysis, and manufacturing of mechanical components within Tesla
Employer & Industry UsageUsed across Tesla's engineering departments for various projectsSpecific to mechanical systems within Tesla's automotive and energy products

Tesla Engineering is a broad role encompassing various engineering disciplines at Tesla, including electrical, software, and mechanical engineering. Tesla Mechanical Engineers focus specifically on mechanical design, analysis, and manufacturing of Tesla's physical products. While both roles require engineering degrees and work within Tesla's innovative environment, Tesla Engineering covers a wider range of specialties, whereas Tesla Mechanical Engineers specialize in mechanical systems.

More about Tesla Engineering jobs
What cities are hiring for Tesla Engineering jobs? Cities with the most Tesla Engineering job openings:
What states have the most Tesla Engineering jobs? States with the most job openings for Tesla Engineering jobs include:
Software Engineer, Core AI Compiler & Runtime

Software Engineer, Core AI Compiler & Runtime

Tesla

Palo Alto, CA • On-site

Full-time

Posted 22 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is a leading company in the automotive and AI technology sectors, and they are seeking a Software Engineer to contribute to their advanced AI platforms. In this role, you will design and develop the AI inference stack for neural networks in Tesla vehicles and collaborate with engineers to optimize performance on their hardware.
Responsibilities:
• Write, debug and maintain robust software for Tesla AI inference (Compiler / Runtime) across FSD, Optimus, and Data Center use-cases
• Provide AI developers access to performance-critical hardware features through new APIs and Domain-Specific Languages (DSLs)
• Design APIs, compiler and runtime features enabling distributed inference on Tesla’s hardware
• Support the integration of our deployment stack with ML frameworks (PyTorch, JAX)
• Keep up-to-date and collaborate with ML/compiler open-source community
• Analyze and debug functional and performance issues on massively parallel systems
• Integrate and deploy AI models in autonomous vehicles, robots, and offline inference
Qualifications:
Required:
• Demonstrated expertise with ML compilers/runtimes (e.g. MLIR, LLVM, XLA, PJRT, TensorRT)
• Experience with the development of Domain-Specific Languages (DSLs) like Triton, cuTile, Pallas
• Robust familiarity with CPUs, GPUs and modern AI accelerators
• Advanced knowledge of computer architecture, distributed systems, networking, and collectives
• Prior experience working with ML frameworks (PyTorch, JAX), with a focus on framework internals
• Proficient C/C++ programming C/C++ including modern C/C++ (C++14/17/20)
• Basic Python proficiency
• Familiarity with modern ML architectures
• Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
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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