Mechanical Engineering Lead - AI Rack Scale Systems

Highlights

• Own mechanical design of rack-scale AI platform from concept through production.
• Lead liquid cooling design and qualification for high-power AI racks at scale.
• Build next-gen AI compute infrastructure for large-scale LLM training and inference.

What they offer

• 4 weeks accrued PTO
• Friday lunch via WeBox, Specialty's or reimbursement
• 100% paid daily commute via company Uber or train
• $50/mo flexible perk allowance
• $35/mo cell and $40/mo wifi reimbursement
• Up to $1000 home office setup
• 100% paid mental health benefit via SpringHealth and Guardian EAP
• Up to 12 weeks paid parental leave and pregnancy disability leave

Ideal candidate

Seasoned mechanical leader with deep data-center hardware background who thrives owning complex systems end-to-end. Hands-on builder passionate about liquid-cooled AI infrastructure, mentoring teams, and shipping robust products with partners.

Requirements

• 15+ years of mechanical engineering experience in server, data center, or AI compute hardware, with hands-on experience designing mechanical components, sub-assemblies, and assemblies at the tray and rack level
• Experience leading mechanical teams to design rack-scale hardware: compute trays, rack enclosures, or server platforms delivered to OCP Open Rack standards
• Experience in volumetric analysis, stack tolerance analysis, and FEA analysis
• Experience integrating liquid cooling systems (cold plates, manifolds, CDU interfaces) into the whole architecture
• Experience generating DFMA with sheet metal, extrusion, casting, and machining manufacturing processes
• Experience in sustainable manufacturing compliance, and design of fixtures and test setups for multiple applications (in-process testing, reliability testing, functional testing)
• Experience leading the ODM/JDM in setting up an assembly line through EVT, DVT, PVT, and MP phases