Senior HPC Platform Hardware Engineer
Lambda· Data Center Business
Hybrid (San Jose Office (Zanker))$255k - $340kFull-timePosted 3mo ago
About the role
Hardware engineer leading NPI and deployment of HPC/AI hardware for Lambda's Superintelligence Cloud, driving integration, bring-up, and production readiness across OEM/white-label platforms with a focus on scale, reliability, and cutting-edge interconnects.
Responsibilities
- Serve as the hands-on technical lead for integrating OEM and white-label HPC AI/ML, general purpose compute, storage, and network hardware into Lambda’s HPC platform reference architectures.
- Drive the end-to-end process of new product introduction (NPI) for hardware systems, including system bring-up, documentation, vendor technical engagement, production readiness, and closure of hardware risks.
- Identify, debug, and resolve hardware issues across different hardware engineering domains during hardware NPI; support closure of critical fleet issues that require hardware design, vendor corrective action, or platform configuration changes.
- Partner with HPC architects to translate platform blueprints into concrete hardware selections and system configurations.
- Partner with the supply chain team on new vendor evaluation and QBR/HBR feedback on established vendors.
- Own the hardware platform through NPI, working with PMO to de-risk execution, drive cross-functional closure of hardware readiness issues, and ensure platforms reach production on schedule.
- Collaborate with the quality team and fleet reliability team during hardware NPI and after production to continuously improve product quality and reliability at scale.
- Work cross-functionally with fleet engineering, deployment, operation and datacenter engineering teams to ensure on-time delivery and deployment, quality, compatibility, performance, and scalability of new systems.
- Serve as the technical lead to evaluate, enable, and prototype new hardware in labs.
- Review BOMs to ensure configuration accuracy, component compatibility, and alignment of key commodities and components to Lambda platform requirements.
Qualifications
- 5 years of technical lead experience on hardware NPI and deployment for HPC, data center, or cloud infrastructure products, familiar with hardware NPI processes.
- Possess deep knowledge and hands-on experiences in one or many of the following hardware platforms: AI/ML, general compute (x86 and ARM), storage systems, or network switches.
- Broad hardware engineering domain knowledge in one or many of the below areas: electrical, thermal, mechanical, power, signal integrity, safety, compliance, reliability and manufacturing.
- Are comfortable working hands-on in labs to enable and bring up new hardware systems.
- Experiences in identifying, triaging and root causing hardware issues during NPI and at scale in the fleet.
- Experience in PLM systems and BOM structure.
- Collaborate well cross functionally to deliver production-ready hardware solutions.
- Strong ownership and can do attitude, self-starter who feels comfortable working in ambiguity.
Skills
Required:Hardware NPI leadershipHardware integration with OEM/white-label platformsVendor evaluation and engagement
Benefits
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Last updated Aug 6, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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