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Tesla Software Developer Jobs (NOW HIRING)

Tesla

Data Engineer, Field Reliability

Fremont, CA · On-site

$125K - $151K/yr

Tesla is looking for a skilled Data Engineer to join their Field Reliability Data Team, focusing on ... software tools to complex fleet data analysis, enabling proactive monitoring of fleet behavior to ...

Tesla

Applied AI Engineer, AI Hardware

Palo Alto, CA · On-site

$160K - $312K/yr

What to Expect The Tesla AI Hardware team is at the forefront of revolutionizing artificial ... Collaborate cross-functionally with software and hardware teams to accelerate the hardware ...

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Tesla Software Developer information

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$48K

$111.8K

$166K

How much do tesla software developer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for tesla software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a Tesla Software Developer do?

A Tesla Software Developer is responsible for designing, developing, and maintaining software systems that power Tesla's vehicles, energy products, and internal tools. They work across a range of platforms, including embedded systems in cars, cloud services, automation tools, and mobile applications. Their work involves collaborating with cross-functional teams to create innovative solutions that enhance Tesla's products and user experience, while ensuring reliability and performance. Software Developers at Tesla often use programming languages like Python, C++, and JavaScript, and are expected to solve complex problems in a fast-paced environment.

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

To thrive as a Tesla Software Developer, you need strong programming skills in languages like Python, C++, and Java, as well as a solid understanding of software engineering principles and a degree in computer science or a related field. Familiarity with development tools such as Git, Docker, CI/CD pipelines, and experience working with embedded systems or automotive software platforms is highly valuable. Excellent problem-solving, adaptability, and teamwork skills help you excel in Tesla's fast-paced, innovative environment. These skills and qualities are crucial for developing reliable, scalable software solutions that advance Tesla’s technology and maintain its competitive edge.

What is the difference between Tesla Software Developer vs Tesla Firmware Engineer?

AspectTesla Software DeveloperTesla Firmware Engineer
Required CredentialsBachelor's in CS or related field, programming skills in Python, C++, JavaBachelor's or higher in Electrical Engineering, embedded systems, C/C++ expertise
Work EnvironmentSoftware development teams, office or remoteEmbedded systems, hardware integration, lab or manufacturing settings
Employer & Industry UsageAutomotive software, vehicle control, UI/UXVehicle hardware, embedded systems, electronic control units
Common Search & ComparisonYesYes

The Tesla Software Developer primarily focuses on developing software applications, vehicle interfaces, and backend systems using high-level programming languages. In contrast, the Tesla Firmware Engineer specializes in embedded firmware for vehicle hardware components, working closely with electronic systems. Both roles require technical expertise but differ in their focus on software layers and hardware integration within Tesla's automotive environment.

How does a Tesla Software Developer typically collaborate with cross-functional teams during project development?

As a Tesla Software Developer, you’ll regularly work alongside engineers, product managers, and designers to deliver cutting-edge automotive and energy solutions. Collaboration often involves participating in agile sprints, daily stand-up meetings, and code reviews to ensure seamless integration of software with hardware systems. Effective communication and teamwork are essential, as developers frequently coordinate with hardware teams to address system constraints and deliver reliable, scalable software. This environment fosters continuous learning and offers exposure to a broad range of technologies and problem-solving scenarios.
More about Tesla Software Developer jobs
What cities are hiring for Tesla Software Developer jobs? Cities with the most Tesla Software Developer job openings:
What states have the most Tesla Software Developer jobs? States with the most job openings for Tesla Software Developer jobs include:
What job categories do people searching Tesla Software Developer jobs look for? The top searched job categories for Tesla Software Developer jobs are:
Tesla Software Developer jobs near you
Infographic showing various Tesla Software Developer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
Software Engineer, Frontier AI Infrastructure

Software Engineer, Frontier AI Infrastructure

Tesla

Palo Alto, CA • On-site

$203K - $241K/yr

Full-time

Posted 7 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is looking for strong software engineers to help scale the next generation of large AI models for Autopilot, Optimus, and Digital Optimus. The role involves optimizing large-scale distributed training systems, improving training efficiency, and collaborating with ML practitioners to enhance model quality and performance.
Responsibilities:
• Optimize large-scale distributed training across thousands of GPUs
• Improve training throughput, utilization, reliability, and scalability
• Develop tooling to identify bottlenecks in compute, networking, memory, and data pipelines
• Design and implement performance optimizations across PyTorch, CUDA, communication libraries, and training frameworks
• Partner with researchers to evaluate how infrastructure changes impact model quality, convergence, and downstream metrics
• Analyze training runs and build dashboards that connect system performance to model outcomes
• Drive improvements in model scaling efficiency, including larger models, longer context lengths, and higher-quality datasets
• Debug complex issues across software, hardware, networking, and machine learning systems
• Build infrastructure that accelerates experimentation and shortens iteration cycles for researchers
Qualifications:
Required:
• Strong software engineering fundamentals in Python and C++
• Experience with distributed systems, high-performance computing, or large-scale infrastructure
• Understanding of machine learning fundamentals, including optimization, training dynamics, and evaluation
• Familiarity with PyTorch and modern deep learning frameworks
• Ability to analyze performance bottlenecks using profiling and observability tools
• Strong debugging and problem-solving skills
• Excellent communication and collaboration skills
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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