Hardware Engineer
Description For Hardware Engineer
Google DeepMind is at the forefront of artificial intelligence research and development, creating technologies that benefit humanity and advance scientific discovery. We're seeking a Senior Hardware Engineer to join our GenAI technical infrastructure research hardware team, focusing on groundbreaking silicon development for machine learning acceleration.
The role offers a unique opportunity to work with a diverse, interdisciplinary team of experts in machine learning, hardware, programming languages, and systems. You'll be instrumental in shaping the future of ML acceleration through cutting-edge architecture exploration and design. The position requires deep expertise in RTL design, micro-architecture definition, and system architecture evaluation.
As a Hardware Engineer, you'll be working in an environment that values innovation, flexibility, and adaptability. You'll be involved in critical decisions about performance, power, energy, and area trade-offs while collaborating with simulation and PD teams. The role requires both technical excellence and the ability to work effectively in a fast-paced, collaborative environment.
This is an exceptional opportunity for someone passionate about pushing the boundaries of AI hardware development. You'll be working with state-of-the-art technology and contributing to projects that could fundamentally impact the future of machine learning acceleration. The position offers competitive compensation, including equity and benefits, reflecting the critical nature of this role in Google DeepMind's mission to advance AI technology.
Responsibilities For Hardware Engineer
- Work in a fast and interdisciplinary team with ML, Hardware, Programming Languages and Systems experts
- Design high performance machine learning accelerator architecture, micro-architecture and RTL
- Select and integrate in-house and third party IP
- Explore trade-offs of future architecture designs in terms of performance, power, energy, and area
- Participate in system architecture definition and evaluation
- Collaborate with simulation and PD teams for architecture evaluation
Requirements For Hardware Engineer
- Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience
- 7+ years of experience in RTL design in Verilog/System Verilog
- 5+ years of experience in micro-architecture definition
- 3+ years of experience in RTL design verification
- Experience with high performance compute IPs
- Experience in evaluating trade-offs such as speed, performance, power, area
- Good understanding of ASIC design flow
- Working knowledge of transformer-based large language models
- Knowledge of basic hardware requirements and ML accelerators building blocks
Benefits For Hardware Engineer
- Bonus
- Equity
- Benefits package
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