Full Description

What To Expect Tesla’s AI Integration team is pioneering the infrastructure that powers the future of self-driving vehicles and humanoid robotics. As an AI Test Systems Engineer, you’ll build the intelligent systems that ensure Tesla’s AI operates flawlessly in the real world. This role isn’t about passive testing, it’s about designing AI-driven frameworks that combine simulation, hardware integration, and fleet data at scale to proactively identify risks, optimize test coverage, and redefine how autonomy systems evolve. Your work will accelerate innovation while ensuring safety at a scale no one else has achieved.

What You'll Do

Develop innovative evaluation and test solutions for all of Tesla’s AI system features, ensuring holistic validation of end-to-end autonomy capabilities Architect and develop next-generation test platforms that integrate Hardware-in-the-Loop (HIL), simulation, and AI-driven analysis to validate Autonomy systems in chaotic, real-world scenarios Build scalable infrastructure-as-code solutions to automate test workflows, from scheduling to execution, ensuring rapid iteration and high reliability Design systems that leverage AI/ML to identify edge cases, optimize test scenarios, and prioritize safety-critical failures Develop tools to aggregate, visualize, and extract actionable insights from petabytes of test data, enabling teams to make data-driven decisions Collaborate with Autonomy and firmware teams to embed intelligent test frameworks directly into development pipelines, reducing bottlenecks and accelerating deployment Integrate cutting-edge technologies like LLMs to automate root-cause analysis of test failures, turning hours of manual debugging into instant insights Deliver clean, modular, and maintainable code that powers robust, production-grade test ecosystems used by hundreds of engineers daily

What You'll Bring

Strong foundation in software engineering with a focus on system design, object-oriented programming, distributed systems, and scalable backend architectures Deep hands-on experience building and owning HIL/SIL testing frameworks, with a track record of solving complex validation challenges Proficiency in Python and/or C++ and hands-on experience with containerization technologies (Docker or Singularity), and CI/CD tools (Jenkins, TeamCity, or Artifactory) Familiarity with AI/ML tools (e.g., PyTorch, TensorFlow) and experience applying them to test automation, failure analysis, or scenario generation is a plus Comfort working in Linux environments with expertise in Bash, scripting, and low-level system debugging A relentless drive to improve quality without sacrificing velocity, with a proven ability to own end-to-end solutions from concept to deployment An understanding of vehicle systems is a plus

Benefits Compensation and Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire