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Tesla Computer Science Jobs in California (NOW HIRING)

Data Engineer

Palo Alto, CA · On-site

$134.80K - $161.80K/yr

Required : • Degree in Computer Science, Data Engineering, Industrial Engineering (Data ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

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Required : • Degree in Computer Science, Computer Engineering, Electrical Engineering, or related ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Data Engineer, Fleet Data, Self-Driving

Palo Alto, CA · On-site

$134.80K - $161.80K/yr

Required : • Bachelor's Degree in Computer Science, Engineering, Physics, Math, proof of ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Data Engineer, Low Voltage

Palo Alto, CA · On-site

$134.80K - $161.80K/yr

... Tesla's products and processes Qualifications : Required : • Degree in Mathematics, Computer Science, Software Engineering, Electrical Engineering, Physics, or equivalent experience or evidence of ...

... Computer Science, Computer Engineering, Software Engineering, Information Systems, Electrical ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

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Showing results 1-20

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 May 30, 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 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 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 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 May 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,020 per year, or $39.4 per hour.
Data Engineer

Data Engineer

Tesla

Palo Alto, CA • On-site

$134.80K - $161.80K/yr

Full-time

Posted 2 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is seeking a hands-on Data Engineer to join their Electronics Supplier Industrialization team. This role involves designing, deploying, and maintaining supplier intelligence architecture to optimize manufacturing efficiency and product quality through data analytics and real-time monitoring.
Responsibilities:
• Design and maintain SIE database infrastructure to support large-scale manufacturing data storage and analytics workloads, handling both numerical data and images
• Set up and scale manufacturing data pipelines between Tesla and suppliers by pulling supplier data into the SIE database
• Review and approve data schemas from suppliers to ensure standardization and quality
• Develop hardware and software for edge computing installed in assembly equipment from automation suppliers
• Build and maintain workflow orchestration pipelines using Airflow or similar tools
• Implement data quality validation, monitoring, and alerting frameworks to ensure analytics reliability
• Collaborate closely with project leadership to define and refine scope for Agentic AI (e.g., autonomous agents) and Computer Vision (e.g., real-time detection) expansions, translating vision into actionable milestones, requirements, and integration paths
• Proactively identify, secure, and integrate internal resources—such as AI tools, cloud servers, and their maintaining platform teams—to support defined scopes and drive system evolution
Qualifications:
Required:
• Degree in Computer Science, Data Engineering, Industrial Engineering (Data specialization), related quantitative discipline, or equivalent experience
• 1-5 years of industry experience
• Proficiency in SQL and Python stack (e.g., FastAPI, pandas, Jupyter, matplotlib, NumPy, SciPy)
• Experience building data pipelines, REST/gRPC APIs, database fundamentals, CI/CD, and Kafka
• Experience with Git or other source control
• Strong communication skills to translate engineering needs into data/software requirements
Preferred:
• Experience with manufacturing and quality tools
• Familiarity with Agentic AI, Computer Vision, or cloud infrastructure (e.g., AWS/GCP/Azure)
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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