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 ML, Systems, & Cloud AI (MSCA) organization. This role is crucial in shaping the future of AI/ML hardware acceleration through the development of cutting-edge TPU (Tensor Processing Unit) technology. The position combines hardware architecture, design, and implementation with a focus on Google's most demanding AI/ML applications.
The successful candidate will work at the intersection of hardware and AI, collaborating with multiple teams to architect, model, analyze, and design next-generation TPUs. The role involves complex problem-solving in product definition, balancing performance, power, features, schedule, and cost considerations.
The MSCA organization is responsible for the hardware, software, machine learning, and systems infrastructure that powers Google's core services and Google Cloud. The team's work impacts billions of users worldwide through services like Search, YouTube, and Cloud Vertex AI platform.
Key responsibilities include ML workload characterization, architecture specification development, hardware/software codesign, and implementation of advanced AI/ML capabilities. The role requires expertise in computer architecture, programming, and hardware design tools, with a focus on creating high-performance, efficient systems.
This position offers the opportunity to work on groundbreaking technology that shapes the future of AI computing, with access to Google's vast resources and collaboration with industry-leading experts. The role combines technical depth with broad impact, making it ideal for those passionate about advancing the field of hardware acceleration for AI/ML applications.
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
- Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams
- Develop and adopt advanced AI/ML capabilities
- Use AI techniques for faster and optimal Physical Design Convergence
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)
- Experience with performance modeling tools (preferred)
- Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies (preferred)
- Knowledge of high performance and low power design techniques (preferred)
Benefits For Silicon Architecture/Design Engineer, PhD, Early Career
- Comprehensive medical coverage
- Visa sponsorship available
Jobs Related To Google Silicon Architecture/Design Engineer, PhD, Early Career
