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HR On Demand, a Texas-based HR partner, is recruiting on behalf of a global PC hardware and AI computing products manufacturer in City of Industry, CA. The Technical Product Manager will oversee highly technical AI hardware systems from concept to mass production, partnering with engineering teams and OEM/ODM partners.
You will need deep expertise in hardware architectures, thermal management, power delivery and integration of CPUs/GPUs/memory.
HR On Demand (HROD) is a Texas-based, full-service HR partner helping global companies establish and grow their U.S. operations. We provide end-to-end HR solutions, from talent acquisition and payroll to compliance, employee relations and organizational development.
We are recruiting on behalf of our client, a globally recognized manufacturer of PC hardware and gaming peripherals. Best known for its computer cooling solutions, PC cases, power supplies and gaming accessories, the company is expanding its portfolio of advanced systems and high-performance AI computing products.
We are looking for experienced Technical Product Managers to help lead the development of next-generation AI hardware systems.
You will oversee technically complex products from concept through validation and mass production, working closely with engineering teams, global technology partners and Asian ODMs. The portfolio includes ultra-compact AI workstations, advanced mobile computing systems and products built around the latest CPU, GPU and memory architectures.
This is a highly technical product role. You will be expected to understand how thermal performance, acoustics, power delivery, component selection and physical design affect the complete user experience.
Depending on your background, your expertise may be strongest in desktop or workstation systems, high-performance notebooks, silicon ecosystems or hardware platform development.
Candidates are not expected to have experience across every area. We are interested in hearing from technical product leaders who bring deep expertise in one or more parts of the AI hardware ecosystem.