Staff Software Engineer, GenAI Silicon Automation, DeepMind

Google LLC; Paris; Presencial; EUR 130.000 - 133.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Descripción de la vacante

Google DeepMind is seeking a Staff Software Engineer to work on GenAI silicon automation and AI agents. You will help build testing systems, simulations, and leadboards, and contribute to hardware-software co-design alongside ML research teams.

The role emphasizes software engineering, ML expertise, and collaboration across product teams to push innovation in AI and hardware accelerators.

Formación

• Bachelor's degree in Computer Science or related field.
• At least 5 years in hardware design or testing.
• 2+ years of software development in one or more languages.

Responsabilidades

• Create systems for agent testing using 2D and 3D games.
• Develop test problems within physics simulators.
• Visualize results and build agent leaderboards.
• Test new algorithms on robots.
• Automate hardware accelerator design for ML (TPUs and beyond).

Conocimientos

Hardware design

Software development

Programming languages

AI/ML knowledge

Educación

Bachelor's degree in Computer Science

Master's degree or PhD in CS/AI/ML

Herramientas

PyTorch

JAX

TensorFlow

Compilers

Descripción del empleo

Staff Software Engineer, GenAI Silicon Automation, DeepMind

Share Staff Software Engineer, GenAI Silicon Automation, DeepMind

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• 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

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, is subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.