Software Engineer, Machine Learning and Electronic Design Automation

Job Description

Google DeepMind is seeking a Software Engineer to revolutionize chip design methodology (EDA) by leveraging AI, cloud computing, and integration. The engineer will be involved in hands-on coding, prototyping, and software tool building for design automation. The role requires a passion for improving digital electronic design and the ability to work in an ambiguous environment.

Role involves:

• Rapid prototyping and software tool building for design automation.
• Inventing, prototyping, and delivering products employing novel optimization techniques and machine learning.
• Collaborating with team members in a highly ambiguous environment.

Requirements:

• Experience advancing EDA, including using AI, cloud computing, or HW/SW co-design to improve EDA outcomes.
• Demonstrated ability to innovate.
• Ability to scope, plan, and execute projects towards team goals.
• Desire to revolutionize chip design and the flexibility to thrive in a rapidly evolving organization.
• Experience with collaborative, hyper-scalar software development and engineering best practices (helpful).
• Interest in working with full-stack system development (helpful).
• Interest in JAX, GPU, or other SIMD programming (helpful).
• Ph.D. in Electrical Engineering, Computer Science or related field; or other similar experience (helpful).

Role offers:

• Opportunity to work at Google DeepMind, impacting the machinery of machine learning.
• Chance to collaborate with scientists, engineers, and machine learning experts.
• Inclusion in a company committed to equal employment opportunity and diversity.