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Tesla Computer Science Jobs in California (NOW HIRING)

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

$100K - $150K/yr

Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox ... S. in Computer Science, Software Engineering, or a related technical field * At least one ...

Otter.ai

Staff Software Engineer, Frontend

Mountain View, CA · On-site

$210K - $250K/yr

Bachelor's degree in computer science or related field, Masters degree is a plus About Otter.ai We ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Staff Software Engineer, Frontend

Mountain View, CA · On-site

$210K - $250K/yr

Bachelor's degree in computer science or related field, Masters degree is a plus About Otter.ai We ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ... Education: Degree in Computer Science or a closely related technical field (BS, MS, or PhD)

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$200 - $250/hr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ... Education: Degree in Computer Science or a closely related technical field (BS, MS, or PhD)

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/yr

Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$125 - $150/hr

Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/yr

Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

Otter.ai

Production Engineer

Mountain View, CA · On-site +1

$155K - $185K/yr

Bachelor's in Computer Science or Electrical Engineering (MS preferred) * 3+ years experience in SR ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Production Engineer

Mountain View, CA · On-site

$155K - $185K/yr

Bachelor's in Computer Science or Electrical Engineering (MS preferred) * 3+ years experience in SR ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

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All JobsTesla Computer Science JobsTesla Computer Science Jobs in California

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 Sep 9, 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.

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 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.

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.

Does Tesla hire computer science engineers?

Tesla hires computer science engineers for roles in software development, autonomous driving, and AI systems. Candidates typically need strong programming skills in languages like Python or C++, experience with machine learning, and knowledge of embedded systems or robotics. The company values innovation and technical expertise in its engineering teams.

What degree is best for a Tesla computer science career?

A bachelor's degree in computer science, software engineering, or a related field is typically required for a Tesla computer science career. Advanced roles may prefer or require a master's degree or higher, along with skills in programming, machine learning, or embedded systems relevant to Tesla's technology environment.

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:

Tesla Computer Science jobs near you
Infographic showing various Tesla Computer Science job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Software Engineer, New Grad

San Jose, CA • On-site

FlexAI
See more jobs at FlexAIexternal

$100K - $150K/yr

Full-time

Re-posted 10 days ago

Job description

About FlexAI
Build and Deploy AI the right way, anywhere.
The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together "1-click simplicity" for users with "enterprise-grade orchestration, security, and automation" under the hood.
Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is not just building a product - we're shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity.
If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !
Role Overview
FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and help build the next generation of AI infrastructure.
From day one, you'll work on real product features that impact customers - not sandbox projects. You'll collaborate closely with a small, experienced team and learn by building across a wide range of technical challenges.
We move fast and value engineers who are curious, proactive, and excited to take ownership - with strong mentorship and support to help you grow quickly.
What You'll Do
  • Design and build highly reliable, resilient infrastructure products and features
  • Work closely with developers, product, and customer-facing teams to solve real problems
  • Write high-quality, extensible, and maintainable code
  • Design and build APIs to drive existing and new platform features
  • Build solutions with a high level of reliability, scalability, and security
  • Debug issues and improve system performance
  • 0-to-1 creation: Rapidly iterate - from idea to deployment
  • Take ownership of features and drive them to completion

What You'll Need to Be Successful
  • B.S. or M.S. in Computer Science, Software Engineering, or a related technical field
  • At least one internship - ideally in a high-growth startup or infrastructure environment
  • Strong coding ability in at least one language such as Python, Go, Java, or Javascript
  • Experience using AI coding tools (Claude, Codex, Others)
  • Solid fundamentals in data structures, algorithms, and writing efficient, scalable code
  • Familiarity with web applications or API development
  • Strong problem-solving skills and attention to detail
  • Ability to learn quickly and operate with increasing independence
  • Clear communication and ability to collaborate across teams
  • Contributions to open source, hackathons, or shipped side projects is a plus

What We Offer
  • A competitive salary and benefits package
  • Work on cutting-edge AI infrastructure
  • Build products used by developers and enterprises
  • High ownership, fast execution, real impact
  • Collaborative, high-caliber team

The pay range for this role is:
100,000 - 150,000 USD per year (US)

Apply