NPI Manufacturing Engineer - AI Compute Hardware
MatX · Mountain View (HQ) or Remote
CHECKED 9H AGO
Infrastructureremotesenior
At a glance
Highlights
- Lead next-gen AI compute infrastructure for large-scale LLM training and inference.
- Own AI chip, compute tray and rack-scale platform from EVT to mass production.
- Drive factory readiness and production ramp with JDM/ODM partners.
What they offer
- 100% paid daily commute via company Uber account or train reimbursement
- $50/mo flexible perk allowance
- $35/mo cell and $40/mo wifi reimbursement
- Up to $1000 home office setup via Amazon business account
- 100% paid mental health benefit via SpringHealth and Guardian EAP
- Up to 12 weeks paid parental leave plus 10 weeks pregnancy disability leave
Ideal candidate
Hands-on manufacturing engineer with 5+ years scaling complex electronics who thrives owning NPI end-to-end. You love solving yield and process challenges on the factory floor with cross-functional partners.
Requirements
- 5+ years of NPI or manufacturing engineering experience with track record taking complex products through EVT, DVT, PVT and production ramp
- Strong hands-on understanding of electronics manufacturing and SMT processes including SPI, AOI and X-ray inspection
- Experience developing and qualifying manufacturing processes for complex high-layer-count PCB assemblies with DFM, DFA and DFT
- Experience developing and implementing manufacturing test processes, fixtures and production test stations
- Experience with yield analysis and root cause methodologies including 8D, FMEA, SPC and Cpk
- Hands-on experience with JDM/ODM/CM partners, manufacturing BOMs, ECOs, AVL changes and PLM/MES tools
- Experience with ESD, packaging, handling and cleanliness requirements and cross-functional collaboration
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