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Tesla Computer Science Jobs (NOW HIRING)

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

... 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 ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$200 - $250/hr

... 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 ...

Economic Intelligence Co.

$150 - $200/hr

What we're looking for: * PhD required in computer science, machine learning, mathematics ... OpenAI, Anthropic, DeepMind, FAIR / Meta GenAI, Thinking Machines, SSI, Tesla AI, xAI, Mistral ...

LightSource

Senior PM

San Francisco, CA · On-site

$160K - $300K/yr

Ideally computer science, engineering, information systems, mathematics, physics, applied sciences ... Tesla, Waymo, Google, Meta, Amazon, Dropbox, Airbnb and many more). And now we're tackling an ...

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Tesla Computer Science information

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$56.5K

$83.1K

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How much do tesla computer science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for tesla computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 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.
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What are the most commonly searched types of Tesla Computer Science jobs?

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What states have the most Tesla Computer Science jobs?

States with the most job openings for Tesla Computer Science jobs include:

What job categories do people searching Tesla Computer Science jobs look for?

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Tesla Computer Science jobs near you
Infographic showing various Tesla Computer Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Applied AI Software Engineer, Design Automation, Factory Software

Fremont, CA • On-site

Tesla
See more jobs at Teslaexternal

Full-time

Re-posted 15 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 690 frontline employees who took The Breakroom Quiz

1st of 45 rated automakers

Job description

Job Summary:
Tesla is seeking an Applied AI Software Engineer focused on design automation to join a small, high-performing team. The role involves designing, building, and deploying production software that automates workflows in the design and construction of factories, requiring a deep understanding of design processes and collaboration with engineering experts.
Responsibilities:
• Design, build, and ship production AI agents and automation that help design and engineering teams work faster and with fewer errors
• Develop custom parametric content and automation for Revit using C#, Python, and Dynamo to support multiple design disciplines
• Develop deep domain understanding of the design and BIM workflows each tool supports, and find the authoritative truth source for every data input
• Build the harness around the model, including tool definitions, retrieval, context assembly, and guardrails, so agents produce trustworthy, verifiable answers
• Write and iterate on prompts and tool instructions that make agents behave reliably
• Evaluate agent behavior rigorously by building eval sets and automated graders that measure output quality and catch regressions before they ship
• Integrate agents and automation with design tools and data systems including Revit, AutoCAD, IFC, and SQL databases
• Lead projects end to end, from gathering requirements with domain experts through architecture, implementation, testing, and production deployment
• Collaborate closely with design, project controls, and facilities teams to ensure each tool solves the real problem and earns user trust
• Maintain high engineering standards across version control, code review, CI/CD, monitoring, and logging for the tools project teams rely on
Qualifications:
Required:
• Strong software engineering fundamentals and a track record of shipping and maintaining production systems
• Proficiency in one or more modern languages such as C#, Python, Go, or JavaScript, including front-end frameworks such as React or Angular, with the ability to pick up others as the work demands
• Hands-on experience automating or extending design tools, with proven expertise in Revit and AutoCAD and visual programming with Dynamo
• Familiarity with IFC, data interoperability, and general awareness of other BIM and parametric design applications
• Experience with SQL databases such as Postgres or MySQL, and database integrations with design tools
• Hands-on experience building agents with a modern agent development framework such as Google ADK or LangGraph
• Practical experience working with LLMs, including prompt engineering, harness engineering, and retrieval-augmented generation (RAG)
• The curiosity and persistence to develop deep domain understanding and to find the truth source of data rather than assuming it
• Strong communication skills and the ability to give and receive technical feedback in a collaborative environment
• Bachelor's Degree in Computer Science, Engineering, or related or equivalent experience
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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