Software Engineer, Accelerators Software/Hardware Co design
Google DeepMind · Mountain View, CA, USA · San Francisco, CA, USA
Frontier labonsite$174k–$252k
At a glance
Highlights
- Build next-gen compute platform for cutting-edge AI inference workloads.
- Prototype novel software algorithms with product teams at Google DeepMind.
- Influence future technology roadmap with performance insights.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A systems-minded engineer excited by AI hardware who thrives in ambiguous research environments and enjoys partnering across teams to prototype ideas and shape future platforms.
Requirements
- Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
- Experience in software development using Python and C++
- Experience with ML hardware accelerators and ML inference software
- PhD in Computer Engineering, Computer Science, or related field preferred
- 2 years of experience with hardware accelerators, architecture, co-design, and performance optimization preferred
- 2 years of experience with collaborative hyperscaler software development and engineering best practices preferred
- Experience scoping, planning, and executing projects toward team goals in ambiguous environments
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
Posted · Last seen