Staff GenAI Hardware Automation Engineer

DeepMind Technologies Limited; Paris; On-site; EUR 130,000 - 133,000; Full time

Job summary

Google DeepMind, based in France, seeks a Software Engineer to advance hardware accelerators for ML, including TPUs and future inference accelerators. You will test agent systems using simulations and develop visualization tools, with open collaborations across Alphabet.

Individual pay includes equity and benefits. Responsibilities include formal methods in verification, open-source contributions, and transferring ML-based optimizations to production tools for hardware engineers, as part of a

Qualifications

• Bachelor's degree in Computer Science or related field or equivalent practical experience.
• 5 years of experience in hardware design or test.
• 2 years of experience with software development in one or more programming languages.
• Master's degree or PhD in CS or related field with a focus on AI/ML is preferred.
• 8 years of experience coding in one programming language (e.g., Java, C++, Python).
• 5 years of experience with ML algorithms and tools (e.g., PyTorch, JAX, TensorFlow) and AI/ML concepts.
• 5 years of experience with data structures and algorithms and hardware-software co-design.
• 3 years of experience in low level ML accelerator programming, compiler or similar.

Responsibilities

• Learn more about benefits at Google .
• Apply formal methods and constraint programming to the verification of complex computing systems.
• Contribute to open source and internal hardware design flows.
• Lead the transfer of ML-based optimization methods to production-grade tools for hardware engineers.
• Drive the application of formal methods in the loop of ML-based and agentic optimization flows.
• Support an MLIR-based compiler stack.

Skills

Hardware design

Software dev

Programming languages

ML algorithms

LLMs

Data structures

Low-level ML

Education

Master's or PhD in CS

Tools

PyTorch

JAX

TensorFlow

MLIR

Job description

Google DeepMind, based in France, seeks a Software Engineer to advance hardware accelerators for ML, including TPUs and future inference accelerators. You will test agent systems using simulations and develop visualization tools, with open collaborations across Alphabet.

Individual pay includes equity and benefits. Responsibilities include formal methods in verification, open-source contributions, and transferring ML-based optimizations to production tools for hardware engineers, as part of a