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From the employer's careers site First seen 9 Nov 2026

Senior HPC Platform Hardware Engineer

Lambda San Jose, California Hybrid senior full-time

Salary

$255K - $340K per year

Apply on Lambda

Description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.

Hardware Engineering at Lambda is responsible for building and scaling the physical infrastructure behind the Superintelligence Cloud.

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.

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.
  • 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.

Nice to Have

  • 10+ years of technical lead experience on hardware NPI and deployment for HPC, data center, or cloud infrastructure products, familiar with hardware NPI processes.
  • Experience supporting AI/ML infrastructure and accelerated compute hardware (e.g., NVIDIA, AMD, Intel).
  • Experience in rack scale server development and liquid cooling designs.
  • Exposure to fleet observability, BMC/BIOS/Network configuration and automation.
  • Background in performance tuning, benchmarking, and systems validation workflows.
  • Can interpret platform-level architecture requirements and select or adapt OEM and white-label solutions to fit.
  • Prior experience contributing to reference designs or large-scale infrastructure blueprints.
  • Are experienced with vendor-led product development cycles and can drive hardware evaluation, risk mitigation, and feedback into roadmap decisions.

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

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Skills

Required

Nice to have

  • AI/ML infrastructure
  • accelerated compute hardware
  • rack scale server development
  • liquid cooling designs
  • fleet observability

Ready to apply?

You apply with the employer directly. Their original posting is here: https://jobs.ashbyhq.com/Lambda/3fede5ab-bd58-4539-b846-f613c8bc81ff

Apply on Lambda