Software Engineer, Scenario Evaluation, Autopilot Simulation

As a Software Engineer on the Autopilot Simulation team, you will play a critical role in building and maintaining the validation mechanisms that ensures Autopilot AI performs safely and reliably on the path to full vehicle autonomy. You will collaborate closely with cross-functional teams, including Autopilot Software, Hardware, and Test Engineering, to drive comprehensive validation of new and existing features through sophisticated test scenario development.

Your work will directly impact the quality and safety of Tesla's autonomous driving capabilities by creating scalable scenario authoring tools, advanced reporting systems, and robust automation frameworks. You will also contribute to the Simulation team's mission of delivering high reliability, scalability, and performance through rigorous testing methodologies.

The Autopilot Simulation team's goal is to recreate real world experiences with exceptional fidelity, providing a comprehensive virtual proving ground for Autopilot. The team is tasked with building high-trust in evaluation metrics and a test harness runtime that accurately recreates all aspects of autonomous driving for the TeslaAI products.

• Design, develop, and maintain software evaluations and tools to engineer, author, and manage high-value simulation scenarios and evaluation metrics at scale
• Architect and implement scenario evaluation pipelines that enable rapid iteration and comprehensive coverage of edge cases
• Evaluate TeslaAI model performance through collaborating with feature owners and driving success through improved metrics and test coverage
• Develop sophisticated tooling and automation to improve the efficiency, accuracy, and coverage of simulator validation
• Build and maintain scenario reporting and analytics tools that provide actionable insights into test results and system performance

• Degree in Computer Science, Physics, Computer Engineering, Electrical Engineering or proof of exceptional skills in related fields, with practical software engineering experience, or equivalent experience
• 3+ years of software development experience, preferably in ML-based evaluation systems, robotics simulation, or closed-loop evaluation systems
• 2+ years of HIL, SIL, or closed-loop evaluation experience in a production environment
• Strong proficiency in Python and some C++
• Experience troubleshooting complex issues at both the software and hardware level
• Proven track record solving difficult QA challenges, including sim-to-real gap, statistical analysis & numerical methods, reporting, and parallelization
• Experience designing automation frameworks and developing test automation software from the ground up
• Familiarity with CI/CD pipelines and version control systems (e.g., Git)

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

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

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.