Software Engineer, Automated Correctness and Testing, DeepMind

Google LLC

Zürich

Vor Ort

CHF 180.000 - 240.000

Vollzeit

Vor 3 Tagen
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Zusammenfassung

Google DeepMind is seeking a Software Engineer to contribute to automated correctness and testing for cutting-edge AI hardware/software systems. You will build and optimize tools for RTL generation, performance profiling, and cross-disciplinary collaboration with ML researchers and hardware designers.

The role emphasizes production-quality software, scalable automation, and integration with EDA workflows to accelerate Google's chip design efforts while advancing general AI capabilities.

Qualifikationen

  • Bachelor's degree in Computer Science or related technical field.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • 8 years of experience with SystemVerilog, hardware design, automation, design verification test.
  • 3 years of experience with software design and architecture.
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • 3 years of experience with enterprise class hardware systems design.
  • Experience with data center engineering, server, storage and networking products.

Aufgaben

  • Design, develop, and optimize software tools to improve RTL quality and accelerate hardware compilation.
  • Profile, identify, and resolve performance bottlenecks in software tools.
  • Collaborate with hardware architects, compiler engineers, and ML researchers to bridge high-level representations and RTL.
  • Develop robust, scalable automation scripts and libraries to streamline RTL generation and optimization workflows.
  • Work with product engineering teams to bring software tools to production quality.

Kenntnisse

C++
Java
Python
Kotlin
Go
Software design
Architecture
Cross-functional collaboration
Data structures
Algorithms
Data center engineering
Server engineering
Storage engineering
Networking

Ausbildung

Bachelor's degree in Computer Science or related technical field
Master's degree or PhD in Engineering or Computer Science

Tools

SystemVerilog
Hardware design
Automation
Design verification test

Jobbeschreibung

Software Engineer, Automated Correctness and Testing, DeepMind

Share Software Engineer, Automated Correctness and Testing, DeepMind



  • Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.

  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.

  • 8 years of experience with SystemVerilog, hardware design, automation, design verification test.

  • 3 years of experience with software design and architecture.


Preferred qualifications:


  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

  • 8 years of experience with data structures and algorithms.

  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

  • 3 years of experience with enterprise class hardware systems design.

  • Experience with data center engineering, server, storage and networking products.


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.


At DeepMind, you’ll have the opportunity to revolutionize AI by applying state-of-the-art AI to chip design. We develop research breakthroughs that impact all aspects of the Electronic Design Automation (EDA) process, to significantly reduce the time to market of Google’s products and services.


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.


Responsibilities


  • Design, develop, and optimize software tools to improve the quality of generated RTL and accelerate the execution of hardware compilation and EDA tools.

  • Profile, identify, and resolve performance bottlenecks in software tools to speed up optimization and synthesis cycles.

  • Collaborate with hardware architects, compiler engineers, and ML researchers to bridge the gap between high-level representations and highly optimized RTL.

  • Develop robust, scalable automation scripts and software libraries to streamline and speed up RTL generation and optimization workflows.

  • Work with product engineering teams to bring the software tools we are developing to production quality.


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.


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, are 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.

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