5 дней назад
Senior Thermal Design Engineer (AI Hardware)
230 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Thermal Design Engineer (AI Hardware): Designing and validating thermal solutions for high-performance networking systems supporting large-scale AI workloads with an accent on heatsinks, cold plates, liquid cooling, and thermal simulation. Focus on leading thermal testing, integrating designs with hardware and system teams, and solving reliability challenges in datacenter-scale systems.
Location: San Francisco Bay Area, Boulder, CO, Virginia, or remote across Eastern and Central Time Zones in the US; onsite work is available in the Bay Area.
Salary: $230,000–$275,000 annually; other compensation ranges and equity may apply.
Company
AI and networking hardware startup developing customized networking hardware, software, and optics solutions for large-scale AI workloads and hyperscalers through a Joint Development Model.
What you will do
- Design and develop heatsinks, cold plates, and liquid cooling systems.
- Build thermal models and run simulations using industry-standard tools.
- Lead thermal testing and validation for system performance and reliability.
- Collaborate with hardware and system teams to integrate thermal designs.
- Work with suppliers to deliver high-quality thermal components.
- Troubleshoot thermal issues and track emerging cooling technologies.
Requirements
- Bachelor’s degree in Mechanical Engineering with a focus on heat transfer; a master’s degree is preferred.
- 5–10 years of experience in thermal design, preferably with datacenter networking systems.
- Proficiency with Flotherm, Flotherm-XT, or IcePak.
- Strong knowledge of air-cooling techniques, including vapor chambers, heat pipes, heatsinks, fans, TIMs, and rack-level constraints.
- Deep knowledge of heat transfer and practical thermal system design.
Nice to have
- Experience with liquid cooling systems.
Culture & Benefits
- Work on next-generation infrastructure for large-scale AI workloads.
- Collaborate across hardware, systems, and supplier teams.
- Join a well-funded, VC-backed startup with more than $600 million in funding.
- Remote work is available within specified US time zones.
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