> Markdown version of [/jobs/ext/4443254-staff-hardware-design-engineer](https://www.wearedevelopers.com/jobs/ext/4443254-staff-hardware-design-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Hardware Design Engineer - **Company:** Designworks NY LLC - **Location:** Bellevue, WA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Computer Engineering, Data Centers, Hardware Design, Software Deployment, AI Infrastructure, Hardware Testing, AI Platforms, Hardware Acceleration, Physical Design - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-hardware-design-engineer-bellevue-wa--2af28189-3fb2-46cd-9347-5ce946d40335 ## About the Role Hardware Design, Technical/Engineering Design, Computer Engineering, Cloud Computing, Artificial Intelligence (AI), Intelligence Agencies, Automation, Team Player, Machine Tool, Startup, * 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 ODMs 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. * Comfortable operating as a senior technical leader within a fast-moving, high-growth engineering organization., * Experience designing infrastructure supporting 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. ## Description As one of the earliest infrastructure engineers on the team, you'll own the physical design of GPU servers and rack-scale systems that form the foundation of a rapidly expanding AI platform. Working closely with GPU vendors, ODMs/OEMs, data center engineering, networking, and operations teams, you'll drive hardware architecture from concept through deployment while influencing future infrastructure strategy. This is a highly visible individual contributor role with broad ownership and the opportunity to shape hardware standards for a rapidly growing AI infrastructure organization. What You'll Do * 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 closely 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 to determine their suitability for next-generation AI workloads. * Collaborate with data center engineering, networking, infrastructure, and operations teams to ensure seamless 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.