Silicon Architecture/Design Engineer, PhD, Early Career
Description For Silicon Architecture/Design Engineer, PhD, Early Career
Google is seeking a Silicon Architecture/Design Engineer to join their Technical Infrastructure team, focusing on shaping the future of AI/ML hardware acceleration through TPU (Tensor Processing Unit) technology. This role combines hardware architecture, machine learning, and silicon design expertise to drive next-generation AI accelerators. The position involves working with cutting-edge technology that powers Google's most demanding AI/ML applications, requiring collaboration across hardware and software teams. The ideal candidate will have a PhD and experience in hardware design, with a focus on AI accelerator architectures. You'll be responsible for developing architectural specifications, performance modeling, and working on hardware/software co-design for optimal AI/ML solutions. The role offers the opportunity to work on revolutionary technology that impacts Google's global infrastructure and AI capabilities, while being part of a team that values innovation and technical excellence. Benefits include working with world-class engineers, access to cutting-edge technology, and the chance to shape the future of AI hardware acceleration at one of the world's leading technology companies.
Responsibilities For Silicon Architecture/Design Engineer, PhD, Early Career
- Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs
- Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap
- Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs
- Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign
- Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies
- Use AI techniques for faster and optimal Physical Design Convergence
- Investigate, validate, and optimize DFT, post-silicon test, and debug strategies
Requirements For Silicon Architecture/Design Engineer, PhD, Early Career
- PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering or related technical field, or equivalent practical experience
- Experience with accelerator architectures and data center workloads
- Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools
- 2 years of experience post PhD preferred
- Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies
- Knowledge of high performance and low power design techniques
- Experience with performance modeling tools
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