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Tesla Programming Jobs (NOW HIRING)

Tesla

AI Engineer, Data Scaling, Self-Driving

Palo Alto, CA · On-site

$134K - $161K/yr

Tesla is a leader in the AI industry, offering unparalleled resources for developing autonomous driving systems. The AI Engineer role focuses on optimizing a large-scale data engine to improve ...

Tesla

Site Reliability Engineer, Diagnostics

Palo Alto, CA · On-site

$67 - $89.25/hr

Tesla is a leading company in the automotive industry, known for its innovative products. They are seeking a seasoned Site Reliability Engineer to support the development of next-generation ...

Tesla

Sr. Security Engineer, Fleetnet

Palo Alto, CA · On-site

$134K - $184K/yr

Tesla is at the forefront of innovation in the IoT space, connecting their backends and customers to their cars. They are seeking a highly motivated Sr. Security Engineer to enhance their information ...

Tesla

Software Engineer, Backend

Fremont, CA · On-site

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 ...

The Wall Street Journal

Tesla Reporter

San Francisco, CA · On-site

$28.75 - $39.25/hr

You will: * Consistently deliver impactful scoops on Tesla, Rivian, Waymo, and rising EV/AV ... engineering labs, and regulatory agencies. * Deliver memorable, richly reported enterprise and ...

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Tesla Programming information

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How much do tesla programming jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for tesla programming in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is the difference between Tesla Programming vs Tesla Software Engineer?

AspectTesla ProgrammingTesla Software Engineer
Required CredentialsTypically requires coding skills, technical certifications, or relevant trainingBachelor's or higher in Computer Science or related field, coding certifications
Work EnvironmentHands-on with hardware integration, embedded systems, or automationSoftware development, coding, testing, and deployment
Industry UsageUsed in automation, robotics, and embedded systems within TeslaDeveloping and maintaining Tesla's software products and systems

Tesla Programming generally focuses on coding and automation related to hardware and embedded systems, while Tesla Software Engineer roles emphasize software development, coding, and system design. Both roles require technical skills, but their focus areas differ within Tesla's innovative environment.

What is a Tesla programmer?

Tesla programmers are software engineers or developers who work for Tesla, Inc. They design, develop, and maintain the software that powers Tesla's electric vehicles, energy products, and supporting infrastructure. Their work includes developing embedded systems for vehicle controls, creating user interfaces, working on autonomous driving algorithms, and enhancing connected services. Tesla programmers typically use languages like C++, Python, and JavaScript, and collaborate with hardware engineers to deliver innovative automotive technology.

What do Tesla programmers do?

At Tesla, programmers often work on projects ranging from optimizing manufacturing automation and developing new features for vehicle software to improving energy management systems. Collaboration is a key aspect of the role, as programmers regularly partner with engineers, designers, and product managers to ensure seamless integration of their code into broader systems. Daily responsibilities typically involve coding, code reviews, debugging, and participating in agile team meetings to discuss project progress and challenges. This collaborative environment encourages continuous learning and provides opportunities for career growth by exposing programmers to cutting-edge technology and multidisciplinary projects.

What are the key skills and qualifications needed to thrive as a Tesla programmer?

To thrive as a Tesla Programmer, you need strong proficiency in software development, particularly in languages such as Python, C++, or Java, along with a relevant degree in computer science or engineering. Familiarity with Tesla-specific systems, automotive software platforms, embedded systems, and version control tools like Git is typically required. Excellent problem-solving ability, innovation, and collaboration are crucial soft skills for this role. These skills ensure the development of reliable, cutting-edge automotive software that meets Tesla’s standards for safety, efficiency, and technological advancement.
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Tesla Programming jobs near you
Infographic showing various Tesla Programming job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Software Engineer, Reinforcement Learning, AI Infrastructure

Tesla

Palo Alto, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 11 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 681 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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