Mechanical Design Engineer, Datacenter Compute Product Design - Palo Alto [280057]

$109,600 - $234,000 yearly

Job Description

Tesla’s AI datacenter infrastructure is the backbone for the models that power Full Self Driving and Optimus, deploying Tesla’s custom high-performance silicon at rack and cluster scale. These systems push the limits of power density, silicon-to-package-level thermal and heat dissipation (liquid and air cooling), high speed electrical and optical data transfer, and structural design, while maintaining a focus on total cost of ownership, uptime, and manufacturing and deployment speed. Tesla’s fast-paced development environment creates opportunities to deliver novel, often patented rack and cooling technologies from prototype into large-scale deployment, with a direct line from hardware decisions to efficiency and quality of inference. As a Mechanical Design Engineer on this team, you will own the design of high-density compute racks, trays, and cooling hardware from the PCBA and module interface through full rack integration in the datacenter (optimizing for both scale-up and scale-out). You will collaborate deeply with electrical, thermal, facilities, manufacturing, and operations teams to deliver vertically integrated products built for density, cost, and service at scales of millions of units. We are seeking creative and self-motivated engineers with strong mechanical engineering fundamentals and first-principles thinking to take products through the design, prototype, manufacturing, test, and deployment ramp cycle.

Roles are available at multiple seniority levels i.e. Sr, Staff, etc. depending on experience level.

The Role

  • Own mechanical design of datacenter racks & trays, as well as in-rack power & communications delivery methods, for AI compute platforms
  • Work closely with cross-functional teams to define product requirements, rack and tray architectures, and part-level specifications
Anthony Antonucci

Qualifications

Relevant experience in Engineering & Information Technology; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No