ML Accelerator Engineer - Software/Hardware Co-Design

Google Inc.; Mountain View, San Francisco (CA, CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

DeepMind in Mountain View, CA is seeking a Software Engineer to advance accelerators software/hardware co-design for AI inference workloads. You will help design and prototype novel software algorithms and contribute to performance optimization across software and hardware layers.

Requirements include a BS in CS or related field and proficiency in Python and C++, plus experience with ML hardware accelerators and ML inference software. PhD and multi-year accelerator experience are preferred.

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 accelerators

Education

Bachelor's degree in CS or related field

Job description

DeepMind in Mountain View, CA is seeking a Software Engineer to advance accelerators software/hardware co-design for AI inference workloads. You will help design and prototype novel software algorithms and contribute to performance optimization across software and hardware layers.

Requirements include a BS in CS or related field and proficiency in Python and C++, plus experience with ML hardware accelerators and ML inference software. PhD and multi-year accelerator experience are preferred.