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Google DeepMind · 9 hours ago

ML Performance Optimization Software Engineer

New York City, New York, US

Full-time

Onsite

Director/Executive

10+ years exp

Google DeepMind is a team of scientists and engineers dedicated to advancing artificial intelligence for public benefit. They are seeking an experienced ML Software Engineering Manager to lead a multi-disciplinary team focused on machine learning acceleration and software development for hardware-software co-design projects.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

Responsibilities

Lead the work of multi-disciplinary ML software engineers, including numerics, performance optimisation, teacher-student learning, and novel model architecture exploration

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

Qualification

ASIC designSilicon developmentTechnical leadershipHigh-performance compute IPsML acceleration architecturesCommunicationTeam management

Required

Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience

10+ years of experience in ASIC design and development

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

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

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010

London, England, GBR

501-1000 employees

https://deepmind.google

Funding

Current Stage

Late Stage

Total Funding

unknown

2014-01-26Acquired

2011-02-01Series A

Leadership Team

Demis Hassabis

Co-Founder & CEO

Aaron Saunders

VP of Hardware Engineering, Robotics

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