Role OverviewJoin our team in San Jose as an exceptional AI Hardware Research Engineer to drive innovation at the intersection of technology, architecture, and algorithms to tackle the most critical challenges in AI hardware design. This is an opportunity to shape the future of AI computing through high-impact research and cross-disciplinary collaboration.
What You Will Do
Conduct workload-level performance evaluation and technology benchmarking for AI systems by developing modeling and simulation capabilities, provide strategic guidance to the broader R&D Organization on technology development directions, and identify opportunities to fully leverage TSMC packaging and memory technologies within novel AI hardware architectures.
Why It Might Be a Fit
We seek an innovative thinker, self-driven and proactive individual with excellent communication skills, a quick learner, and an independent problem solver who thrives in a multidisciplinary research environment.
Requirements
- Ph.D. in Electrical Engineering or Computer Science, or a related STEM field
- Recent Ph.D. graduate (0–2 years of industry experience) with a distinguished academic record and a focus on semiconductor-related research
- Hands-on experience or deep technical background in most of the following areas: Modeling and simulation of AI hardware and systems, Hardware and disaggregated system architectures for LLM inference, Accelerator, memory, and networking architectures, Advanced memory and packaging technologies, including photonics and thermal management, Large language model (LLM) algorithms and frameworks
Benefits
- market competitive pay
- allowances
- bonuses
- comprehensive benefits
- extensive development opportunities and programs
- paid holidays
- relocation assistance
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