Google DeepMind is seeking a talented Software Engineer specializing in Electronic Design Automation (EDA) to join their innovative team. This role presents an exciting opportunity to revolutionize chip design through the application of AI and cloud computing technologies. As part of a dynamic team within one of the world's leading AI research organizations, you'll be at the forefront of developing cutting-edge EDA software solutions.
The position requires a unique blend of technical expertise in both software development and electronic design. You'll be working on everything from Verilog to GDSii, implementing novel optimization techniques and machine learning approaches to transform traditional chip design processes. The role demands someone who can thrive in an ambiguous environment while maintaining rigorous engineering standards.
The ideal candidate brings significant experience in EDA software development, including database management, synthesis, and physical design. You should have a deep understanding of how chip designers interact with EDA software and experience with full-stack hardware development. The role offers competitive compensation ($189,000 - $300,000 plus benefits and equity) and the opportunity to work with world-class researchers and engineers.
At Google DeepMind, you'll be part of a team dedicated to advancing artificial intelligence for widespread public benefit. The company culture emphasizes innovation, collaboration, and ethical considerations in AI development. This role offers the chance to make a significant impact on the future of electronic design while working with cutting-edge AI technologies.
The position is based in Mountain View, California, where you'll collaborate with diverse, interdisciplinary teams. Additional valuable skills include experience with cloud-based software, ML-AI, JAX, GPU programming, and optimization techniques. A PhD in Electrical Engineering, Computer Science, or related field is advantageous but not required.