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2 days ago
AI/ML Hardware Architect
As a Silicon Architecture/Design Engineer, PhD, Early Career, you will be responsible for designing and optimizing next-generation TPUs for AI/ML workloads. Your focus will be on performance, power, and cost.
- Key Responsibilities:
- Drive the development of architectural and microarchitectural models for TPUs, including power/performance trade-offs.
- Collaborate with hardware and software teams to create high-performance hardware/software interfaces for AI/ML applications.
- Implement advanced AI/ML techniques to optimize physical design convergence, timing, and floor planning for TPUs.
Requirements:
- A PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, or related technical field is required.
- Experience with accelerator architectures, data center workloads, and programming languages (C++, Python, Verilog) is essential.
- Post-PhD experience (2 years preferred) with performance modeling tools and memory hierarchy design is highly desirable.
- Strong knowledge in high-performance and low-power design techniques for hardware accelerators is necessary.
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