Mechanical Engineer - AI Rack Scale Systems
MatX · Mountain View (HQ) or Remote
CHECKED 9H AGO
Infrastructureremotemid-senior$160k–$600k
At a glance
Highlights
- Design AI compute trays and rack enclosures for LLM training platform.
- Build fully liquid-cooled infrastructure with cold plates and manifolds.
- Lead hands-on EVT to PVT prototype builds, bring-up and debug.
What they offer
- 4 weeks PTO plus 12 company holidays
- Company-subsidized medical, dental and vision for employees and dependents
- 401(k) with up to 5% company contribution and company-paid life insurance
- $1500 annual professional development budget
- Onsite lunch and dinner Monday-Friday and 100% paid daily commute
- Up to 12 weeks paid parental leave and flexible return-to-work
- Mental health benefit via SpringHealth and EAP
Ideal candidate
Hands-on mechanical engineer with data center hardware background who loves taking complex rack systems from concept through prototype debug and thrives collaborating with manufacturing partners.
Requirements
- 5+ years of mechanical engineering experience in server, data center, or AI compute hardware
- Experience designing rack-scale hardware — compute trays, rack enclosures, or server platforms
- Familiarity with OCP Open Rack standards
- Experience with liquid cooling systems — cold plates, manifolds, or CDU interfaces
- Proficiency in 3D CAD (SolidWorks or equivalent) and GD&T
- Familiarity with sheet metal, extrusion, casting, and machining processes
- remote policy
- Up to 3 weeks remote work
Lab profile
About MatX
Designs vertically integrated AI silicon and systems to run frontier models at physics-limit efficiency.
What they build
- AI accelerator silicon for GenAI training and inference
- Rack-scale AI data center systems
- Full-stack silicon-to-software platform for large ML workloads
Known for
- Vertically integrated silicon-to-systems design
- AI accelerator architecture and performance modeling for LLMs
- High-efficiency power architecture from chip to rack
- Silicon verification and software-hardware co-verification