Staff Data Center Architect, AI Hardware

The Tesla AI Hardware team stands at the forefront of artificial intelligence innovation, developing custom silicon and compute infrastructure that redefinewhat'spossible 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. This hardware pushes the boundaries of computational performance and efficiency. Through relentless innovation in custom silicon and optimized architectures,we'rebuilding the foundation for AI systems that will transform transportation, robotics, and beyond.

We are seeking an AI Datacenter Architect to drive the end-to-end design of our custom computing platforms-from silicon integration to board-level architecture, backplane interconnects, and complete rack systems. You will make architectural decisions across the entire stack, ensuring every layer-chip packaging, compute boards, power delivery, thermal management, and datacenter deployment-works in harmony to deliver the performance and reliability that Tesla's rapidly scaling AI workloads demand.

• Lead datacenter system architecture from chip design through deployment-defining server platforms, rack configurations, and network topologies for large-scale AI training
• Drive system designs to maximize performance & compute density while ensuring 24/7 reliability and cost-effective total cost of ownership
• Evaluate compute architectures and interconnects for high-performance AI systems,optimizingsignal integrity, power delivery, and thermal management across multi-accelerator configurations
• Establishvalidation frameworks to stress-test datacenter systems under production AI workloads,identifyingfailure modes and performance issues before deployment
• Partner with silicon, firmware, validation, and operations teams as well as technology partners to influence next-generation accelerator architecture, align product roadmaps, and coordinate procurement strategies

• Degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
• 8+ years designing and deploying complex datacenter systems at scale
• Analytical skills in performance modeling, power/thermal analysis, and cost optimization
• Experience in datacenter networking (Ethernet 100G+, InfiniBand, RoCE, RDMA)
• Experience with high-speed interconnects (PCIe, CXL,UAlink, Infinity Fabric,NVLink)
• Proven ability solving problems across software and hardware-from firmware to application-level performance
• Hands-on experience with system validation, performance characterization, and benchmarking of datacenter platforms
• Track recordleading multidisciplinary teams and partnering with suppliers, OEMs, and technology partners on product development

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.