Software Engineer, Accelerators Software/Hardware Co design, DeepMind
Mountain View, CA, USA +1 · Full-time · Posted Oct 20, 2026
- Location
- Mountain View, CA, USA
San Francisco, CA, USA - Experience
- Preferred qualifications include 2 years of experience with hardware accelerators and 2 years with collaborative, hyper-scaler software development and engineering best practices.
- Education
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience; PhD preferred.
About the job
Designs and prototypes software for AI inference compute platforms, optimizing kernels and coordinating software/hardware codesign and performance benchmarking.
What you'll do
- Collaborate with product teams to design, implement, and prototype software algorithms.
- Oversee software/hardware codesign, kernel optimization, and performance benchmarking and optimization.
- Gather insights to guide future software and hardware design and the technology roadmap.
What they ask for
- 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.
Nice to have
- PhD in Computer Engineering, Computer Science, or a related field.
- 2 years of experience with hardware accelerators, collaborative hyper-scaler software development, or related project execution (as described in the posting).
Pay
$174000 - $252000 (USD) base salary
Tools
Python, C++
AI focus
Develops and optimizes software for cutting-edge AI inference workloads using machine-learning hardware accelerators.
Model-written summary · the original posting is authoritative