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Tesla Software Validation Engineer Integration AI Platforms 
United States, California, Palo Alto 
696206532

16.04.2025
What to Expect

As a Validation Engineer for Integration within our Autonomy teams, you will play a crucial role in advancing our AI platform's integration with vehicles and humanoid robotics. You'll be at the forefront of testing and validating features that leverage the power of Tesla AI, ensuring seamless functionality across various platforms.

You will be responsible for identifying gaps in test coverage, building test systems, and publishing reliability metrics for the explicit software stack at the convergence of system interfaces, sensors, actuators, and applications.

What You’ll Do
  • Work with software developers and hardware designers to cultivate an expert understanding of sensors, actuators, telemetry, and other sub-systems and their interfaces with the autonomy computer

  • Develop and execute comprehensive system and sub-system level test specifications and test plans and provide feedback to development team

  • Identify risks to interfaces and mechanisms that enable redundancy and fail-operational behaviors

  • Build tools and methods to execute tests and evaluate results efficiently and repeatedly on HIL and SIL environments

  • Develop prototype test setups to integrate new subsystems with simulated or actual vehicle components

  • Investigate field issues through data analysis and issue reproduction

  • Navigate production source code to identify and debug issues and propose robust solutions.

  • Build metrics in support of functional safety validation according to common industry standards (ISO 26262, etc)

What You’ll Bring
  • Practical experience developing for test frameworks in Python and debugging production C++ codebases

  • Experience with embedded systems software and hardware design concepts

  • Experience with automotive communication standards such as CAN, Ethernet, TCP/IP

  • Excellent problem-solving, critical thinking, and communication skills