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Tesla Robotics Jobs in California (NOW HIRING)

AI Engineer, Manipulation, Optimus

Palo Alto, CA · On-site

$122K - $151K/yr

Tesla is a company focused on solving robust embodied intelligence through humanoid robots. They are seeking an AI Engineer to design and develop their robotic manipulation software stack and ...

What to Expect Tesla is looking for highly motivated and adaptive individuals to support Tesla ... We are looking for someone with enthusiasm for the field of robotics anda strong desireto ...

The Team: * We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon ... In this role, you will: * Develop robotic solutions to manipulate and control biology tools ...

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Tesla Robotics information

What is the difference between Tesla Robotics vs Tesla Automation Technician?

AspectTesla RoboticsTesla Automation Technician
Required CredentialsEngineering degree or technical certification in robotics or automationTechnical diploma or certification in automation or electrical systems
Work EnvironmentDesign, develop, and maintain robotic systems in manufacturingInstall, troubleshoot, and repair automation equipment on the production line
Employer & Industry UsagePrimarily in R&D and advanced manufacturing at TeslaHands-on maintenance and support in Tesla's production facilities

Tesla Robotics roles focus on designing and developing robotic systems, requiring engineering expertise. Tesla Automation Technicians handle installation and maintenance of automation equipment, emphasizing practical troubleshooting skills. Both roles are vital in Tesla's manufacturing process but differ in their focus and required qualifications.

What is the highest paid job in robotics?

The highest paid jobs in robotics are typically robotics engineers, robotics directors, or automation executives, with senior roles often earning six-figure salaries. These positions require advanced technical skills, leadership experience, and often a background in engineering, computer science, or related fields.

Is it hard to get hired at Tesla?

Getting hired for a Tesla Robotics position can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and a background in engineering or robotics. The hiring process typically involves multiple interviews, technical assessments, and a review of qualifications. Candidates often need to demonstrate problem-solving abilities and familiarity with automation tools or programming languages.

How much do Tesla robotic engineers make?

Tesla robotic engineers typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. They often work with advanced robotics systems, programming languages like Python and C++, and may require a background in mechanical or electrical engineering.

Does Tesla hire robotics engineers?

Yes, Tesla hires robotics engineers to develop and improve automation systems for their manufacturing processes and products. Candidates typically need a background in robotics, mechanical or electrical engineering, and experience with control systems and programming languages like Python or C++.
What are popular job titles related to Tesla Robotics jobs in California? For Tesla Robotics jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Tesla Robotics jobs? Cities in California with the most Tesla Robotics job openings:
Infographic showing various Tesla Robotics job openings in California as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Machine Learning Integration Engineer, Tesla AI

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$122K - $164K/yr

Full-time

Posted 8 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 679 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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