Staff Software Engineer, GenAI Silicon Automation, DeepMind

DeepMind Technologies Limited

Paris

Sur place

EUR 130 000 - 133 000

Plein temps

Il y a 8 jours

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Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Hardware design
Software dev
Programming languages
ML algorithms
LLMs
Data structures
Low-level ML

Formation

Master's or PhD in CS

Outils

PyTorch
JAX
TensorFlow
MLIR

Description du poste

Google welcomes people with disabilities.

Minimum qualifications:
  • Bachelor's degree in Computer Science, related technical 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.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related field with a focus on AI/ML.
  • 8 years of experience coding in one programming language (e.g., Java, C++, Python, etc.).
  • 5 years of experience with machine learning algorithms and tools (e.g., PyTorch, JAX, TensorFlow), artificial intelligence, deep learning, Large Language Model (LLMs), or natural language processing.
  • 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 other close to hardware performance programming.
About The Job

At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

As a part of this team, you will aim at automating the design of hardware accelerators for machine learning, covering the design space of TPUs as well as future and emerging, even more specialized inference accelerators. In this role, the benefits are twofold, including a dramatic increase in the productivity of hardware engineers, and aiming for performance levels beyond what is typically achievable by human experts.

As an applied research and development project, the main impact is expected to be internal, through our collaborations with product teams across the Alphabet. When appropriate, open source contributions and academic publications will also be considered.

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.

France: €130000 - €133000 (EUR) + 20% bonus target + equity + benefits

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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