We are seeking a highly motivated and experienced Software Engineering Manager to join our HW-SW Co-design team and drive groundbreaking advances for machine learning acceleration.
At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.
The role requires a blend of deep technical expertise, strategic thinking, and strong leadership. You will lead a multi-disciplinary team to evolve the software side of our hw-sw co-design project.
Responsibilities:
- Closely collaborate with our hardware team to define and drive strategy for next-generation machine learning accelerators.
- Manage relationships and technical execution across a virtual team that spans both Google and outside partners.
- Drive the team to deliver high-quality aligned to tight schedules.
Minimum Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
- 10+ years of experience in ASIC design and development.
- 3+ years of Management Experience
- Proven track record of technical leadership and successfully delivering complex silicon projects (tape-outs) to production.
- Deep expertise in at least one core silicon discipline (e.g., RTL, PD, DV) and strong familiarity with the entire ASIC flow.
- Experience with managing silicon vendors and other external partners.
Preferred Qualifications:
- Master's or Ph.D. in a related field.
- Experience leading and managing teams across the full silicon development cycle, from RTL to bringup.
- Experience with high-performance compute IPs (e.g., GPUs, ML accelerators).
- Knowledge of high-performance and low-power architectures for ML acceleration.
- Excellent communication, and leadership skills.
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