Software Engineer: Hardware Architecture Modeling Engineer
Software Engineer: Hardware Architecture Modeling Engineer
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$ 197000 - 291000
1 Vacancy
Job Description
About us:
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 you:
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves silicon and system architecture forward. We regularly need to invent novel solutions to problems and often change course if our ideas dont work out so flexibility and adaptability to work on any project is a must.
The Role:
We are seeking a talented and highly motivated hardware architecture modeling 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 ML Model inference acceleration.
Responsibilities:
- Drive and work on high level ML Model workload characterization and benchmarking for HW architecture exploration.
- Plan and conduct required performance and power analysis sweeps.
- Refine analyse and present the results clearly communicate the assumptions and error boundaries.
- Develop architectural and microarchitectural costmodels to enable quantitative analysis.
- Collaborate with partners in ML model development simulation environment SW development hardware and architecture design and various research teams for effective cooptimization.
- Represent HW architecture in the simulation environment development and contribute as a developeruser.
- Propose and drive improvements to simulation tooling ML models and HW architectures.
Minimum Qualifications:
- Masters degree in Computer Science Electrical Engineering or related field or equivalent practical experience.
- Understanding of LLM sharding/partitioning and implications to the HW architecture.
- 5 year work experience from analytical and/or eventdriven high level simulation environments.
- 7 years of experience in computer architecture performance analysis or a PhD degree in lieu of industry experience.
- Working experience developing with C & Python.
- Knowledge of high performance and low power architectures for ML acceleration.
Preferred Qualifications:
- Knowledge of intermediate representations (IR) used in ML (e.g. CIRCT MLIR etc).
The US base salary range for this fulltime position is between $197000 $291000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 12pm PST Friday 16th May 2025
Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see our Applicant and Candidate Privacy Policy.
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 opportunities 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
