Staff Software Engineer, GenAI Silicon Automation, DeepMind

As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to perform hands-on designing of data foundation architectures and develop Minimum Viable Product (MVPs) to sell new, highly specialized solutions to customers. You will solve analytics-centered customer challenges and provide a critical feedback loop to unblock customers and influence product development. You will leverage excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge and hands-on technical engagement to prove the value of the Google Cloud portfolio.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities

• Apply formal methods and constraint programming to the verification of complex computing systems.

• Contribute to open source and internal hardware design flows.

• Lead the transfer of ML-based optimization methods to production-grade tools for hardware engineers.

• Drive the application of formal methods in the loop of ML-based and agentic optimization flows.

• Support an MLIR-based compiler stack.

Qualifications Minimum qualifications:

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

• 5 years of experience in hardware design or test.

• 2 years of experience with software development in one or more programming languages.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related field with a focus on AI/ML.

• 8 years of experience coding in one programming language (e.g., Java, C++, Python, etc.).

• 5 years of experience with machine learning algorithms and tools (e.g., PyTorch, JAX, TensorFlow), artificial intelligence, deep learning, Large Language Model (LLMs), or natural language processing.

• 5 years of experience with data structures and algorithms and hardware-software co-design.

• 3 years of experience in low level ML accelerator programming, compiler or other close to hardware performance programming.