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Software Engineer, ML Accelerators, DeepMind.

Software Engineering & Dev

Software Engineer, ML Accelerators, DeepMind: our view in 3 lines...

  • The Role:This role is for a software engineer working on ML accelerators, with a focus on ML compiler stack and inference infrastructure at Google DeepMind.
  • The Person:The person will build a next-generation compute platform for AI inference workloads and work on memory technologies, hardware acceleration, and software and hardware co-design.
  • Requirements:The ideal candidate has skills in C++, computer science, JAX, machine learning, planning, Python, PyTorch and software development.

About the role

We are building a next-generation compute platform for AI inference workloads, with an emphasis on memory technologies, Hardware (HW) acceleration, and Software (SW)/HW codesign.
We are looking for enthusiastic engineers to join the project.
This is a coding role for engineers who like to take initiative and get things done, with a focus on ML compiler stack and inference infrastructure.
At DeepMind you will be joining our team of scientists and engineers who are directly impacting the future of machine learning for Google and industry.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Published October 15, 2026
Location Mountain View, CA