Job Overview
Location
San Jose Office (First St)
Job Type
Full-time
Category
Engineering
Date Posted
July 21, 2026
Full Job Description
đź“‹ Description
- • 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.
🎯 Requirements
- • 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.
🏖️ Benefits
- • Generous cash & equity compensation
- • 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Lambda Inc.
Lambda Inc. provides cloud-based GPU clusters and workstations for artificial-intelligence research and development. The company designs and operates high-performance hardware infrastructure optimized for machine-learning workloads, offering on-demand access to NVIDIA GPUs, pre-configured deep-learning software stacks, and scalable storage. Customers include AI labs, universities, and enterprises training large language and computer-vision models. Founded in 2012, Lambda is headquartered in San Francisco and maintains data centers across North America and Europe.
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