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Tesla Engineer Jobs (NOW HIRING)

Tesla

Software Engineer, Optimus

Palo Alto, CA · On-site

Tesla is seeking a Software Engineer to join their Manufacturing Test and Engineering software team, contributing to the acceleration of sustainable energy. In this role, you will develop software ...

Tesla

Sr. Software Engineer, Payments Experience

Fremont, CA · On-site

$134K - $177K/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 ...

Tesla

Sr. Software Engineer, Charging Payments

Fremont, CA · On-site

$134K - $177K/yr

Tesla is one of the leading companies in the electric vehicle industry, and they are seeking a Senior Software Engineer for their Charging Payments team. The role involves designing and developing ...

Tesla

Staff Software Engineer, FinTech

Fremont, CA · On-site

Tesla is seeking a Staff Software Engineer to join our Payments and FinTech team, spearheading the technical strategy and architecture of systems that keep the lights on for the company. The role ...

Tesla

Staff Site Reliability Engineer, S3 Storage

Fremont, CA · On-site

$62.50 - $83.25/hr

Tesla is seeking a Staff Site Reliability Engineer to join their Storage Infrastructure team, focusing on building and operating exabyte scale on-premises object storage systems that expose the AWS ...

Tesla

Sr. Software Engineer, Robotaxi Growth

Palo Alto, CA · On-site

$144K - $190K/yr

Tesla's mission is to accelerate the world's transition to sustainable energy, and their Robotaxi division is focused on revolutionizing autonomous transportation. The role of Growth Engineer ...

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Tesla Engineer information

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$39K

$101.8K

$137.5K

How much do tesla engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for tesla engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does a Tesla engineer do?

A Tesla Engineer is responsible for designing, developing, testing, and improving Tesla's electric vehicles, energy products, and related technologies. Their work may involve areas such as mechanical, electrical, software, or manufacturing engineering, depending on their specialization. Tesla Engineers collaborate with cross-functional teams to solve complex engineering challenges, enhance product performance, and push the boundaries of sustainable energy solutions. They play a key role in driving innovation and maintaining Tesla's reputation for cutting-edge technology.

How does a Tesla engineer typically collaborate with cross-functional teams to drive innovation?

Tesla Engineers frequently work in cross-disciplinary teams, partnering with specialists in software, manufacturing, design, and testing to develop and refine products. Collaboration often involves regular meetings, design reviews, and problem-solving sessions to ensure that technical solutions align with Tesla’s fast-paced innovation goals. Engineers are encouraged to proactively communicate across departments, leveraging diverse expertise to overcome challenges and accelerate project timelines. This collaborative culture not only fosters creativity but also provides engineers with opportunities to broaden their skill sets and contribute to multiple aspects of product development.

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

To thrive as a Tesla Engineer, you need a solid background in engineering principles, problem-solving, and a relevant engineering degree such as mechanical, electrical, or software engineering. Experience with CAD software, simulation tools, and systems like MATLAB or Python, as well as knowledge of automotive standards, is typically required. Strong collaboration, adaptability, and innovative thinking are valuable soft skills for excelling in Tesla’s fast-paced and mission-driven environment. These skills and qualities are crucial for developing cutting-edge technologies and ensuring high performance in a rapidly evolving industry.
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Tesla Engineer jobs near you
Infographic showing various Tesla Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$122K - $164K/yr

Full-time

Re-posted 15 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 680 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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