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Tesla Computer Science Jobs (NOW HIRING)

Required : • Bachelor's Degree in Computer Science, Information Technology, or a related field ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

... 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 ...

... 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:

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Tesla Computer Science information

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$56.5K

$83.1K

$98K

How much do tesla computer science jobs pay per year?

As of Aug 19, 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.
More about Tesla Computer Science jobs

What are the most commonly searched types of Tesla Computer Science jobs?

The most popular types of Tesla Computer Science jobs are:

What states have the most Tesla Computer Science jobs?

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

Infographic showing various Tesla Computer Science job openings in the United States as of August 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Software Engineer, Backend

Tesla

Fremont, CA • On-site

Full-time

Re-posted 14 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 a leading electric vehicle manufacturer specializing in innovative automotive technology. The Manufacturing Quality Data Engineering team is looking for a Software Engineer, Backend to develop and maintain scalable backend systems and APIs, ensuring high-quality, efficient software solutions.
Responsibilities:
• Build elegant, scalable APIs for interacting with applications, systems, and databases, including interacting with real-time systems using technologies like Apache Kafka and Apache Flink.
• Design, develop, and maintain scalable backend systems in Python and Go, including internal web applications and data platforms
• Architect new system infrastructures, databases, and integration layers to meet application needs, ensuring seamless frontend integration
• Collaborate with cross-functional teams (e.g., frontend, DevOps, data engineering) to deploy systems smoothly, iterate rapidly on interactive solutions, and resolve complex technical issues.
• Uphold best software engineering practices through code reviews, design documentation, coding standards, and troubleshooting to ensure high-quality, maintainable backend code
• Stay current with industry trends and emerging technologies, applying them to innovate in backend systems for areas like Industry 4.0, equipment sensors, and vehicle data analytics
• Implement logging and monitoring systems to track health, optimize performance, scalability, and reliability of backend infrastructure supporting AI-driven workflows
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent experience
• 3+ years of work experience in software engineering or related fields
• Expert-level proficiency in designing and developing scalable, efficient, and secure APIs using Python and Go, with in-depth knowledge of REST and gRPC standards, and experience with popular backend frameworks such as Flask, FastAPI (Python) and Gin, or Echo (Go)
• Experience with databases, including SQL (e.g. MySQL, Microsoft SQL), NoSQL (e.g. MongoDB, Elasticsearch) databases, and column-store database (e.g. ClickHouse) and good knowledge of query optimization
• Experience with containerization using Docker and orchestration using Kubernetes, and experience working in a fast-paced environment with multiple tight deadlines
• Strong understanding of software design patterns, principles, and best practices, and experience with Agile development methodologies and version control systems such as Git
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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