AI Inference Compute Engineer — Hardware/Software Co-Design

Google DeepMind; San Francisco (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in San Francisco is seeking engineers and researchers to advance a next-generation compute platform for AI inference workloads, emphasizing memory technologies, hardware acceleration, and hardware/software codesign.

You will join a team of scientists and engineers shaping the future of machine learning for Google and industry, focusing on safe, scalable innovation with a competitive compensation package including equity and bonus opportunities.

Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• Experience in software development using Python and C++.
• Experience with Machine Learning (ML) hardware accelerators and ML inference software.

Responsibilities

• Collaborate with product teams to design, implement, and prototype novel software algorithms.
• Oversee software/hardware codesign, kernel optimization, performance benchmarking and optimization.
• Collect insights to influence future software and hardware design and the technology roadmap.

Skills

Python

C++

ML hardware accelerators

ML inference software

Education

Bachelor's degree in Computer Science or related field

PhD in Computer Engineering or related field

Job description

Google DeepMind in San Francisco is seeking engineers and researchers to advance a next-generation compute platform for AI inference workloads, emphasizing memory technologies, hardware acceleration, and hardware/software codesign.

You will join a team of scientists and engineers shaping the future of machine learning for Google and industry, focusing on safe, scalable innovation with a competitive compensation package including equity and bonus opportunities.