Senior HPC Platform Hardware Engineer
San Jose, United States · Hybrid · Full-time
- Posted 1mo ago
- From Lambda’s careers page
- Location
- San Jose, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Data and Analytics
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About the role
What You’ll Do
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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.
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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.
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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.
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Partner with HPC architects to translate platform blueprints into concrete hardware selections and system configurations.
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Partner with the supply chain team on new vendor evaluation and QBR/HBR feedback on established vendors.
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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.
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Collaborate with the quality team and fleet reliability team during hardware NPI and after production to continuously improve product quality and reliability at scale.
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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.
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Serve as the technical lead to evaluate, enable, and prototype new hardware in labs.
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Review BOMs to ensure configuration accuracy, component compatibility, and alignment of key commodities and components to Lambda platform requirements.
You
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5 years of technical lead experience on hardware NPI and deployment for HPC, data center, or cloud infrastructure products, familiar with hardware NPI processes.
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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.
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Broad hardware engineering domain knowledge in one or many of the below areas: electrical, thermal, mechanical, power, signal integrity, safety, compliance, reliability and manufacturing.
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Are comfortable working hands-on in labs to enable and bring up new hardware systems.
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Experiences in identifying, triaging and root causing hardware issues during NPI and at scale in the fleet.
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Experience in PLM systems and BOM structure.
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Collaborate well cross functionally to deliver production-ready hardware solutions.
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Strong ownership and can do attitude, self-starter who feels comfortable working in ambiguity.
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About Lambda
AI compute in the cloudLambda provides cloud GPU compute, clusters and AI infrastructure for researchers, startups and enterprises.
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