# Senior HPC Platform Hardware Engineer

**Company**: Lambda
**Location**: San Jose, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $255K - $340K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/Lambda/3fede5ab-bd58-4539-b846-f613c8bc81ff?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-hpc-platform-hardware-engineer-a08a21d5-20b/

## 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
- HPC
- AI/ML
- hardware engineering
- cloud infrastructure
- hardware NPI

### Nice to have
- AI/ML infrastructure
- accelerated compute hardware
- rack scale server development
- liquid cooling designs
- fleet observability

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