
Tesla’s AI Integration team builds the infrastructure that powers the future of self-driving vehicles and humanoid robotics (Optimus). The AI Test Systems Engineer designs the systems that ensure Tesla’s AI is safe, reliable, and continuously improving, not only in the real world, but at every step of development.
This role develops scalable test platforms and automation systems that combine real-world fleet data, hardware-in-the-loop validation, and large-scale simulation to catch issues early, maximize coverage, and accelerate iteration. This is more than testing, it is building the feedback loop that drives AI evolution.
Simulation is central to this mission. The engineer helps design and scale the systems that replay complex real-world scenarios with precision, reproduce rare edge cases, and validate end-to-end autonomy in virtual environments. These simulations are essential to how Tesla trains, debugs, and refines AI at scale.
The role also builds backend services for test orchestration, dynamic simulation environments, and data analysis across petabytes of sensor and behavioral data. These systems enable engineers to iterate faster and ship systems with guaranteed safety.
At Tesla, rapid innovation is a core part of how the future is built. This work strengthens that foundation, closing the loop between simulation and reality to drive real-world progress.
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Expected Compensation
$118,000 - $390,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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