Hardware Quality Engineer
Lambda Labs · San Jose Office (Zanker) · San Jose Office (First St)
Infrastructureremote$135k–$180k
At a glance
Highlights
- Ensure quality for AI cloud infrastructure across deployment and production.
- Drive RCA, CAPA, and RMA improvements to keep GPU systems operational.
- Define quality KPIs and oversee MRB decisions for data center hardware.
What they offer
- Generous cash and equity compensation
- Health, dental, and vision coverage for you and dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match (USA)
- Flexible paid time off plan
Ideal candidate
Detail-oriented, process-driven quality engineer with data center hardware experience who turns data into insight and thrives resolving complex failures across teams.
Requirements
- Experience working with hardware, data center, or infrastructure systems
- Strong data analysis, statistics, and metrics skills
- Skilled in root cause analysis methods (5 Whys, fishbone, 8D, A3)
- Comfortable managing cross-team communication and stakeholder expectations
- Detail-oriented, process-driven, and quality-minded
- Experience with quality tools or QMS software
- Clear written and verbal English communication
- remote policy
- 4 days in office, work from home on Tuesdays
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada
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