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Tesla Python Jobs in California (NOW HIRING)

Data Engineer, Robotaxi Operations

Palo Alto, CA · On-site

$134K - $161K/yr

Tesla is building the operational data layer for its autonomous fleet through its Robotaxi ... • Experience with Python and data processing frameworks (e.g., Spark, Airflow, dbt) • ...

Sr. Data Analyst, Purchasing & Cost Analytics

Fremont, CA · On-site

$94K - $119K/yr

Tesla is seeking a highly skilled and motivated Data Analyst to support its rapidly growing global ... Python or R for data analysis and automation • Hands-on experience with data visualization tools ...

Site Reliability Engineer, Diagnostics

Palo Alto, CA · On-site

$67 - $89.25/hr

Job Summary : Tesla is a leading company in the automotive industry, known for its innovative ... Python, Go) • Strong bias for action vs endless planning, willing to get hands dirty and make ...

Siemens Controls Engineer

Fremont, CA · On-site

$99K - $128K/yr

Using Python and SQL to connect equipment with Tesla's Manufacturing Execution System (MES) and collect production data * Designing touchscreen HMIs with MappView/TwinCAT and SCADA dashboards in ...

Siemens Controls Engineer

Fremont, CA · On-site

$99K - $128K/yr

Using Python and SQL to connect equipment with Tesla's Manufacturing Execution System (MES) and collect production data * Designing touchscreen HMIs with MappView/TwinCAT and SCADA dashboards in ...

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... Python (preferred for scripting, automation, or data analysis)

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Tesla Python information

See California salary details

$13

$57

$85

How much do tesla python jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for tesla python in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What does a Tesla Python developer do?

A Tesla Python developer is responsible for designing, developing, and maintaining software applications using the Python programming language within Tesla's technological ecosystem. Their work can involve automating processes, analyzing data, developing tools for vehicle and energy products, or building backend services that support Tesla's operations. These developers collaborate with engineers and other team members to solve complex challenges and improve efficiency. They play a key role in ensuring Tesla's software systems are robust, scalable, and innovative.

How does a Python developer at Tesla typically collaborate with cross-functional teams to deliver impactful projects?

As a Python developer at Tesla, you’ll frequently work alongside engineers, data scientists, and product managers to design and implement software solutions that support manufacturing, energy, or vehicle systems. Collaboration often involves participating in agile sprints, code reviews, and regular stand-up meetings to ensure alignment and rapid progress. You’ll be expected to communicate complex technical concepts clearly and adapt your code to integrate with diverse systems. This collaborative environment fosters innovation and gives you exposure to a wide range of Tesla’s cutting-edge technologies.

What is the difference between Tesla Python vs Tesla Data Analyst?

AspectTesla Python DeveloperTesla Data Analyst
Required SkillsPython, programming, software developmentData analysis, SQL, Excel, visualization
Work EnvironmentSoftware development teams, engineering projectsData teams, business units, reporting
CertificationsPython certifications, coding bootcampsData analysis certifications, SQL certifications
Industry UsageDeveloping software solutions for Tesla productsInterpreting data to inform business decisions

Tesla Python Developers focus on coding and software development using Python, often working on engineering and product software. Tesla Data Analysts analyze data sets to support decision-making, utilizing tools like SQL and Excel. While both roles require analytical skills, Python Developers are more involved in programming, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Python Developer at Tesla, and why are they important?

To thrive as a Python Developer at Tesla, you need strong programming skills in Python, experience with software development principles, and typically a degree in computer science or a related field. Familiarity with tools such as Git, REST APIs, Docker, and cloud platforms, as well as knowledge of Tesla's tech stack, is often required. Strong problem-solving abilities, collaboration, and effective communication are essential soft skills for excelling in cross-functional teams. These skills ensure the delivery of reliable, scalable software solutions that drive Tesla’s innovative products and operations.
What job categories do people searching Tesla Python jobs in California look for? The top searched job categories for Tesla Python jobs in California are:
Infographic showing various Tesla Python job openings in California as of July 2026, with employment types broken down into 8% Internship, 83% Full Time, and 9% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.
Software Engineer, Reinforcement Learning, AI Infrastructure

Software Engineer, Reinforcement Learning, AI Infrastructure

Tesla

Palo Alto, CA • On-site

$203K - $241K/yr

Full-time

Posted 15 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is a leading company in AI technology, and they are seeking a Software Engineer to join their RL Infrastructure team. The role involves building and optimizing systems for large-scale reinforcement learning to enhance the performance and scalability of AI workloads critical for projects like Robotaxi and Optimus.
Responsibilities:
• Build infrastructure for large-scale reinforcement learning
• Improve performance and scalability of RL workloads
• Optimize training and inference latency, throughput, memory usage, and hardware utilization
• Develop tools for benchmarking, profiling, debugging, and monitoring
• Work closely with ML engineers to productionize new methods and workflows
• Debug bottlenecks across kernels, runtimes, networking, and distributed systems
• Improve system reliability, correctness, and engineering quality across the RL stack
Qualifications:
Required:
• Industry experience in GPU inference, writing GPU kernels, and/or RL training infrastructure
• Practical programming experience in Python and/or C/C++
• Experience working with ML training frameworks (ideally PyTorch)
• Strong understanding of performance engineering and distributed systems
• Experience with PyTorch, CUDA, NCCL, Triton, Ray, or similar tools
• Experience profiling and optimizing CPU-GPU interactions (pipelining computation with data transfers, etc.)
• Proficient in system-level software, in particular hardware-software interactions and resource utilization
• Ability to solve difficult systems problems with minimal oversight
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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