Senior Design Verification Engineer, AI/ML, Google Cloud

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in Electronic Design Automation (EDA) tools and IP/chip design and verification methodologies.
• Experience in establishing and qualifying SoC design flows from an EDA reference flow and addressing product-specific design/methodology requirements.
• Experience in solving verification issues with AI/ML algorithms and techniques.
• Proficiency in Verilog, System Verilog, Register-Transfer Level (RTL) design, simulation, Universal Verification Methodology (UVM), static checks, and clock/reset domain crossing.

Preferred Qualifications:

• Experience with cloud-based Machine Learning (ML) frameworks and tools.
• Experience in developing AI/ML models for verification tasks, such as coverage analysis or bug prediction.
• Experience in formal verification methodologies.
• Familiarity with hardware acceleration platforms (e.g., GPUs, TPUs).
• Excellent problem-solving and investigative skills.
• Strong communication and teamwork skills.

About the Job:

Join a diverse team at Google dedicated to pushing the boundaries of custom silicon solutions that power the future of direct-to-consumer products. Contribute to the innovation behind Pixel phones, Nest devices, and Fitbit wearables, loved by millions worldwide. Utilize your expertise to shape the next generation of hardware experiences, ensuring unparalleled performance, efficiency, and integration.

As a Senior Design Verification Engineer specializing in AI/ML methodologies, you'll revolutionize the verification landscape for cutting-edge hardware designs. You'll integrate AI/ML techniques into pre-silicon and post-silicon verification processes, enhancing efficiency, effectiveness, and reliability. Develop innovative solutions to automate repetitive tasks, uncover hidden design flaws, and optimize verification strategies. Collaborate with cross-functional teams to stay informed on the latest AI/ML advancements and contribute to the future of hardware verification at Google.

Behind every online interaction is the architecture created by the Technical Infrastructure team, ensuring seamless operation. From developing data centers to building next-gen Google platforms, our engineers keep Google's products running smoothly.

Responsibilities:

• Analyze verification data to identify trends, patterns, and areas for improvement, using AI/ML to optimize verification strategies.
• Collaborate with design, architecture, and software teams to ensure seamless integration of AI/ML-driven verification solutions.
• Research and explore new AI/ML algorithms and techniques applicable to various verification tasks like test generation, coverage analysis, bug triaging, and root cause analysis.
• Work closely with the Google DeepMind team on AI models (e.g., large language model (LLM), Gemini) and other Machine Learning tools.
• Enhance existing verification methodologies by incorporating AI/ML techniques for a comprehensive and efficient verification process.
• Accelerate design convergence using the improved methodologies.

Additional Information:

Company Name: Google
Job Title: Senior Design Verification Engineer, AI/ML, Google Cloud