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Tesla Computer Science Jobs in California (NOW HIRING)

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... PhD in computer science, machine learning, computational neuroscience, or related fields (or ...

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Tesla. While we can't reveal too much just yet, our team is tackling cutting‑edge engineering ... PhD in computer science, machine learning, computational neuroscience, or related fields (or ...

Bachelor's Degree in Computer Science, or the equivalent in experience * 1+ years in frontend web ... Tesla the best value * Provide outstanding fast-response customer support, ensuring trust and ...

New

... 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 ...

... financial systems for Tesla's products and services, ensuring 99.99% uptime • Lead the ... Required : • Degree in Computer Science, Information Technology, Software Engineering, or related ...

Research Scientist

San Francisco, CA · On-site

$100 - $300/hr

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:

AI 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:

Holds a Bachelor's or Master's degree in Computer Science or a related field with 5+ years of ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

New

Holds a Bachelor's or Master's degree in Computer Science or a related field with 5+ years of ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

New

Robotics Software Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

The Team: * We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon ... D. in Computer Science, Mechanical Engineering, Electrical Engineering, Aeronautical Engineering or ...

Master's degree in Computer Science, Engineering, or a related field. * 2+ years of work experience ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

New

Master's degree in Computer Science, Engineering, or a related field. * 2+ years of work experience ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

New

Showing results 21-40

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 Aug 19, 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:

Infographic showing various Tesla Computer Science job openings in California as of August 2026, with employment types broken down into 66% Full Time, 11% Part Time, and 23% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Sr. Software Engineer, AI Driven Survey & CSAT Platform

Tesla

Fremont, CA • On-site

$134K - $177K/yr

Full-time

Re-posted 4 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is seeking a highly motivated Sr. Software Engineer with expertise in Full Stack Application development and hands-on experience with AI/ML technologies to join their small, high-performing team. The role involves building scalable software systems for an AI-Driven Customer, Employee, and Supplier CSAT platform, while mentoring engineers and contributing to system architecture and design.
Responsibilities:
• Deliver high-quality, maintainable code that addresses real-world contract processing challenges
• Develop workflows that leverage AI to improve operations
• Implement and integrate semantic search techniques and vector embeddings to enhance system capabilities, champion their usage to ease developer cognitive load, and embed them into workflows to improve operational efficiency as part of real business requirements
• Contribute to system architecture and design, especially where AI, automation and operational scale intersect
• Mentor engineers and uphold global standards of excellence in software craftsmanship
• Prioritize robust, production-critical systems with strong validation, monitoring, and support mechanisms
• Collaborate cross-functionally to ensure solutions align with system design, operational needs and end-user impact
• Stay up to date with the latest trends and technologies in the software engineering industry to identify new opportunities and drive innovation
Qualifications:
Required:
• Degree in Computer Science, Computer Engineering, or equivalent experience, with a minimum of 4 years of professional software engineering experience in full-stack application development
• Hands-on experience with large language models, AI agents, prompt engineering, semantic search, vector embeddings, and RAG pipelines using platforms such as OpenAI, HuggingFace, LangChain, or LlamaIndex
• Mastery of object-oriented programming (C#, Java, Python, or C++) with proven proficiency in building scalable RESTful and GraphQL APIs using frameworks such as .NET Core, Spring Boot, or Django
• Experience designing dynamic survey/feedback engines with branching logic, multi-channel distribution, and robust ETL pipelines integrating with enterprise systems (CRM, HRMS, ERP); proficient in both SQL and vector databases.
• Ability to build real-time dashboards, sentiment analysis pipelines, and AI-powered insight engines that surface CSAT trends, NPS scores, and actionable recommendations across customer, employee, and supplier segments
• Familiarity with front-end technologies including React, Angular, HTML, JavaScript, and CSS to support full-stack delivery and seamless survey module embedding across enterprise portals
• Experience architecting high-throughput, multi-tenant SaaS platforms with RBAC, ensuring platform reliability during peak feedback cycles while adhering to data privacy regulations (GDPR, CCPA) and anonymization best practices
• Proficiency in rigorous software development practices including version control, code reviews, CI/CD pipelines, monitoring, logging, and A/B testing frameworks to continuously optimize platform performance and survey response quality
• Excellent interpersonal and communication skills with a demonstrated ability to lead technical initiatives end-to-end — from concept and architecture through production deployment — within a collaborative, high-performing team environment
Preferred:
• Experience with Clickhouse and PeerDb will be plus
• Familiarity with UI languages is a plus
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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