Hardware Engineer Design and Architecture
Hardware Engineer Design and Architecture
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1 Vacancy
Job Description
Snapshot
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
About Us
At Google DeepMind weve built a unique culture and work environment where longterm ambitious research can flourish. We are seeking a highly motivated Hardware Engineer to join our team and contribute to development of groundbreaking silicon for machine learning acceleration.
The Role
We are seeking a talented and highly motivated hardware engineer to join our GenAI technical infrastructure research hardware team. You will have the opportunity to partake into cuttingedge architecture exploration that will shape the future of machine learning acceleration.
Key responsibilities:
- Work in a fast and interdisciplinary team bringing together experts from Machine Learning Hardware Programming Languages and Systems
- High performance machine learning accelerator architecture microarchitecture and RTL design.
- Selection and integration of inhouse and third party IP.
- Exploration of various tradeoffs of future architecture designs in terms of performance power energy and area.
- Participate in the system architecture definition and evaluation.
- Collaboration with simulation and PD teams to maintain up to date cost functions for architecture evaluation.
- Coordinate the chip design collaboration across the teams.
- Collaboration with the design automation teams and provide steering and guidance for tool development.
About You
In order to set you up for success as a Software Engineer at Google DeepMind we look for the following skills and experience:
- Bachelors 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 microarchitecture definition.
- 3 years of experience in RTL design verification.
- Experience with high performance compute IPs (e.g. GPUs DSPs or machine learning accelerators).
- Experience in evaluating tradeoffs such as speed performance power area.
- Good understanding of ASIC design flow including RTL design verification logic synthesis and timing analysis.
- Handson knowledge of basic hardware requirements and building blocks of ML accelerators custom number formats matrix multiply units vector and elementwise computation etc.
In addition the following would be an advantage:
- Working experience developing with C & Python.
- Physical Design background or hands on experience.
- Design Verification background or hands on experience.
- Knowledge/understanding of high level synthesis.
- Working knowledge of transformerbased large language models.
- Knowledge of high performance and low power architectures for ML acceleration.
- Knowledge of processor core SoC integration
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Employment Type
Full Time
