Designworkstalent
Hardware / Machine Design Engineer
Bellevue
Sponsorship not specifiedDetected 1 day ago
Cloud PlatformsAirflowAgentic AI
About the role
- Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization.
- This role is ideal for an engineer who enjoys translating vendor reference architectures into highly optimized, production-ready systems that maximize performance, reliability, serviceability, and cost efficiency.
- 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.
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 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.
- Collaborate with data center engineering, networking, infrastructure, and operations teams to ensure seamless integration across facilities and production environments.
- 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.
- 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.
- Design the hardware foundation powering one of the industry's most ambitious AI infrastructure platforms.
- Own architecture decisions spanning GPU servers, rack systems, and next-generation compute infrastructure.
Requirements
- 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.
- U.S. work authorization is required. Visa sponsorship is not currently available.
Nice to have
- 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.
- Competitive base pay for Bellevue market
- These awards are allocated based on individual performance
- Approximately three days per week in the office.
Compensation
- Competitive base pay for Bellevue market
- Certain roles are eligible for additional rewards, including merit increases, annual bonus, and stock. These awards are allocated based on individual performance
Benefits
- U.S. based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, employees also receive per calendar year, paid holidays.
- Enjoy the autonomy and impact of a startup environment backed by substantial long-term investment and a bold vision for the future of AI.
Visa & Work Authorization
- U.S. work authorization is required.
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