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Tesla Computer Science Jobs in California (NOW HIRING)

Angular Developer

Fremont, CA · On-site

$60 - $73.25/hr

Build scalable, performant, maintainable, and well-tested features for Tesla core operations ... Computer Science or related field, or equivalent industry experience * Angular 10+ or React ...

... tesla, honda, mercedes etc Contract - 3 year Experience Need 10 years Automotive Full-stack SW ... S. in Computer Science and 5 years of industry experience, or at least 10 years of equivalent ...

Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ... An MSc or PhD/DPhil in Computer Science or a closely related technical field * Proven Track Record:

Senior Software Engineer, 3D Computer Vision

Irvine, CA · On-site

$131K - $173K/yr

D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Apply Early

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

Early Career AI/ML Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

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Tesla Computer Science information

See California salary details

$55.8K

$82K

$96.7K

How much do tesla computer science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for tesla computer science in California is $82,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $92,300.00 per year, depending on experience, location, and employer.

Is it difficult to get hired at Tesla?

Getting hired for a Tesla Computer Science role can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and a solid educational background in computer science or related fields. The hiring process often involves multiple interviews, technical assessments, and demonstrating problem-solving abilities. Candidates who showcase expertise in programming, algorithms, and familiarity with Tesla's technologies tend to have better chances.

What are the key skills and qualifications needed to thrive in the Tesla Computer Science position, and why are they important?

To thrive in a Tesla Computer Science position, you need a solid background in software development, algorithms, and data structures, usually demonstrated through a degree in computer science or a related field. Familiarity with programming languages such as Python, C++, and Java, as well as experience with automation, embedded systems, and machine learning frameworks, is highly valuable. Problem-solving skills, strong collaboration, and adaptability set candidates apart in Tesla's fast-paced, innovative environment. These qualifications enable professionals to drive technological advancements and deliver reliable solutions for cutting-edge automotive and energy products.

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, bonuses, and stock options. These roles typically require extensive experience, advanced technical knowledge, and leadership skills in areas like engineering, manufacturing, or business strategy.

What typical projects or responsibilities might a Computer Science professional have at Tesla?

At Tesla, Computer Science professionals frequently work on projects involving the development and optimization of software for autonomous vehicles, factory automation, or energy management systems. Daily tasks may include designing scalable code, debugging complex systems, collaborating with cross-functional teams, and integrating new technologies into Tesla's products. Many roles require close teamwork with hardware engineers, data scientists, and product managers to achieve ambitious goals. This environment fosters ongoing learning and offers broad exposure to advanced technologies, giving employees the opportunity to rapidly develop their technical and leadership skills.

Does Tesla hire computer engineers?

Tesla hires computer engineers for roles involving software development, embedded systems, and autonomous vehicle technology. Candidates typically need strong programming skills in languages like C++ or Python and experience with hardware integration and AI systems. The company values technical expertise and innovation in its engineering teams.

How much do computer engineers make at Tesla?

Computer engineers at Tesla typically earn between $80,000 and $130,000 annually, depending on experience, location, and specific role. Salaries can vary based on skills in software development, embedded systems, and familiarity with tools like Python or C++.

What is a Tesla Computer Science job?

A Tesla Computer Science job involves working on cutting-edge software and technology to support Tesla’s mission of accelerating the world’s transition to sustainable energy. Roles can include software engineering, artificial intelligence, data science, embedded systems, and cybersecurity. Employees develop and optimize software for Tesla’s vehicles, energy products, and internal systems. Strong programming skills, problem-solving abilities, and a passion for innovation are essential.

What are the most commonly searched types of Tesla Computer Science jobs in California? The most popular types of Tesla Computer Science jobs in California are:
What are popular job titles related to Tesla Computer Science jobs in California? For Tesla Computer Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Tesla Computer Science jobs in California look for? The top searched job categories for Tesla Computer Science jobs in California are:
Senior Full Stack Engineer [33263]

Senior Full Stack Engineer [33263]

Stealth Startup

Santa Rosa, CA • On-site

$140K - $300K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Us

We are building the first AI-native auto retail platform and transforming how consumers buy and sell electric vehicles. Backed by leading investors and industry veterans from Tesla, Uber, Rivian, Carvana, Meta, and other top companies, we have raised over $100M in equity and debt funding and are rapidly scaling nationwide.

What You'll Do

  • Build and ship core product features across our marketplace and operations platform
  • Develop scalable full-stack applications and backend services
  • Collaborate with Product, Design, Data, and Operations teams
  • Participate in architecture, technical design, and engineering best practices
  • Help shape the future of our platform and engineering organization

Qualifications

  • 6–10+ years of software engineering experience

OR

  • 4+ years of experience plus a PhD in Computer Science, AI, Machine Learning, Software Engineering, Mathematics, or a related field
  • Strong experience with:
  • Go, TypeScript, and/or Python
  • React, Next.js, Vue.js, or similar frameworks
  • Experience building and scaling production-grade applications
  • Startup mindset with strong ownership and execution skills
  • PhD candidates and engineers with advanced research backgrounds are strongly encouraged to apply

Benefits

  • Competitive salary ($140K–$300K)
  • Equity ownership
  • Health, dental, and vision coverage
  • Flexible / Unlimited PTO
  • 401(k)

Why Join?

  • Build AI-native technology with real customers and revenue
  • Work directly with founders and senior leadership
  • Make a visible impact on a rapidly growing business
  • Opportunity to grow into Staff, Principal, or Engineering Leadership roles