Software Engineer, Automated Correctness and Testing, DeepMind

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.

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.

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.