System Validation Engineer, AI Data Center

We are seeking a Validation Engineer to build comprehensive test frameworks and validation infrastructure for our AI datacenter systems. You will develop automated test suites, stress-test hardware under production workloads, and ensure every component-from individual servers to complete datacenter deployments-meets Tesla’s exacting standards for performance and reliability. What You’ll Do

• Design and implement automated validation frameworks for AI datacenter systems-servers, racks, networking, and storage-to ensure production readiness
• Develop and execute test suites to validate hardware functionality, performance benchmarks, thermal characteristics, and long-term reliability under production AI workloads
• Build performance benchmarking and diagnostic tools to measure compute throughput, network bandwidth, storage I/O, power consumption, and thermal efficiency
• Automate data collection and analysis to track validation results, identify trends, and generate actionable insights for hardware design improvements
• Develop sw deployment, orchestration and testing pipelines with tools like Docker and configuration testing (e.g., Ansible)

• Bachelor’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
• 3+ years of experience in system validation, hardware testing, or test automation
• Proficiency in Python for test automation and data analysis
• Proven ability to design and implement automated test frameworks, including burn-in testing, stress testing, and performance benchmarking
• Experience with datacenter systems validation and understanding of servers, networking equipment, storage systems, and power/thermal infrastructure
• Experience with distributed computing, containerization, orchestration, and CI/CD tools (e.g., SLURM, Docker, Kubernetes, Ansible)
• Strong debugging skills across hardware and software domains with ability to analyze complex data sets, * Experience with AI/ML infrastructure or GPU cluster validation
• Background in statistical analysis, data visualization (Grafana, Kibana, Prometheus), or performance modeling
• Familiarity with Linux system administration, scripting (Bash, shell), and test frameworks (pytest, unittest)
• Experience utilizing lab test equipment and integrating it into automated hardware validation testing processes
• Knowledge of HPC technologies (Ethernet, InfiniBand, RDMA, PCIe, NVMe, or high-speed interconnects)

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

Expected Compensation $160,000 - $432,000/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. Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

The Tesla AI Hardware team stands at the forefront of artificial intelligence innovation, developing custom silicon and compute infrastructure that redefine what’s possible in machine learning. Our team designs advanced AI accelerators and the datacenter systems that scale them-from Dojo, Tesla’s purpose-built supercomputer, to the infrastructure that trains massive neural networks powering Full Self-Driving (FSD) and Optimus, Tesla’s humanoid robot. Before any server, rack, or datacenter system goes into production, it must be rigorously validated to ensure it delivers the performance, reliability, and efficiency our AI workloads demand.