Software Engineer, Automated Correctness and Testing, DeepMind

Requirements:

• 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.

Nice to haves:

• 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.

What you'll be doing:

• 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.

Perks and Benefits:

• Opportunity to revolutionize AI and apply state-of-the-art AI to chip design.
• Pioneering AI lab working on advancing AI development to solve complex global challenges.
• Exceptional interdisciplinary teams focused on high-quality product innovation.
• Diverse learning opportunities and varied career pathways in a mission-driven team.