HPC/GPU Hardware /Machine Design Engineer - Member of Technical Staff

Designworks Talent • Bellevue, WA

1d • Hybrid

About The Position

The company is building a next-generation AI cloud platform and is seeking a hardware and machine design engineer to lead the design of GPU servers and rack-scale infrastructure. The role translates vendor reference architectures into optimized, production-ready systems, balancing performance, reliability, serviceability, manufacturability, scalability, and cost efficiency.

As an early infrastructure engineer, the successful candidate will own physical design for GPU servers and rack-scale systems, working with GPU vendors, ODMs/OEMs, data center engineering, networking, and operations teams from concept through deployment. This is a highly visible individual-contributor role with broad ownership and influence over hardware standards and future infrastructure strategy.

Requirements

• Extensive experience designing GPU-based servers, rack infrastructure, or large-scale compute platforms.
• Deep knowledge of GPU server architecture and vendor reference designs, particularly NVIDIA and AMD ecosystems.
• Experience working directly with ODM and OEM partners to design, customize, qualify, and manufacture production hardware.
• Strong understanding of rack-level infrastructure, including power, cooling, airflow, mechanical integration, cable management, and serviceability.
• Experience supporting hyperscale cloud, AI infrastructure, HPC, or large-scale data center environments.
• Ability to evaluate architectural trade-offs across performance, scalability, reliability, and cost.
• Comfort operating as a senior technical leader within a fast-moving, high-growth engineering organization.
• U.S. work authorization is required; visa sponsorship is not currently available.

Nice To Haves

• Experience designing infrastructure for AI training clusters or large-scale inference platforms.
• Experience with liquid cooling technologies, high-density rack deployments, or advanced thermal management.
• Familiarity with multiple GPU generations and evolving accelerator technologies.
• Background designing hardware platforms for cloud providers, hyperscalers, or AI infrastructure companies.
• Experience influencing long-term hardware architecture and infrastructure strategy.

Responsibilities

• Lead the design and configuration of GPU servers and rack-scale infrastructure using vendor reference architectures from NVIDIA, AMD, and emerging AI hardware providers.
• Partner with ODMs and OEMs to develop, validate, and optimize custom hardware platforms for production deployment.
• Own rack-level architecture, including mechanical layout, power distribution, thermal design, cable management, serviceability, and deployment standards.
• Evaluate new GPU platforms, server technologies, and hardware innovations for suitability for next-generation AI workloads.
• Collaborate with data center engineering, networking, infrastructure, and operations teams to ensure integration across facilities and production environments.
• Balance performance, reliability, manufacturability, scalability, and total cost of ownership when designing infrastructure solutions.
• Support hardware validation, qualification, and production readiness for large-scale deployments.
• Help establish engineering standards, hardware specifications, and design best practices as the infrastructure organization grows.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan with company match
• Paid holidays
• Certain roles may be eligible for merit increases, annual bonus, and long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed