Design Verification Lead, AI/ML, Google Cloud, Silicon

Company Name: Google

Job Title: Design Verification Lead, AI/ML, Google Cloud, Silicon

Minimum Qualifications:

16+ years of industry experience in firmware engineering, EDA tools, IP/Chip design, and verification methodologies.

Extensive experience in establishing and qualifying SoC design flow from an EDA reference flow, addressing product-specific design/methodology requirements.

Proven track record of solving verification issues using AI/ML algorithms and techniques.

Proficiency in Verilog, SystemVerilog, RTL Design, Simulation, UVM, and static checks, clock and reset domain crossing.

Hands-on experience working with firmware engineering EDA tools and automation, including flow development.

Preferred Qualifications:

Experience in developing AI/ML models for verification tasks such as coverage analysis or bug prediction.

Solid understanding of formal verification methodologies.

Proficiency with cloud-based ML frameworks and tools.

Familiarity with hardware acceleration platforms (e.g., GPUs, TPUs).

Exceptional problem-solving, investigative, communication, and teamwork skills.

About the Job:

Our computational challenges are so complex and unique that we build our own hardware solutions. Your team designs and constructs the hardware, software, and networking technologies that drive all of Google's services. As a Hardware Engineer, you will design and build the systems forming the core of the world's largest and most powerful computing infrastructure. This involves development from the lowest levels of circuit design to large system design, overseeing these systems through to high-volume manufacturing. Your contributions have the potential to sculpt the machinery in our cutting-edge data centers, impacting millions of Google users.

As a Design Verification Lead specializing in AI/ML methodology at Google, you will be at the forefront of transforming verification for innovative hardware designs. You will play a pivotal role in integrating advanced AI/ML techniques into pre-silicon and post-silicon verification processes, boosting their efficiency, effectiveness, and reliability. By leveraging expertise in both verification and AI/ML, you will develop solutions that automate repetitive tasks, reveal hidden design flaws, and optimize verification strategies, leading to quicker market readiness and higher quality products. Collaborating with cross-functional teams and staying updated on the latest AI/ML advancements, you will help shape the future of hardware verification at Google, ensuring the company's products meet the highest standards of quality and performance.

Behind everything our users see online is the architecture developed by the Technical Infrastructure team, ensuring it runs seamlessly. From maintaining our data centers to constructing the next generation of Google platforms, we make Google's product portfolio possible. Proud to be our engineers' engineers, we enjoy taking things apart to rebuild them and keep our networks up and running, ensuring our users have the best and fastest experiences possible.

Responsibilities:

Work in close collaboration with the Google DeepMind team on advanced AI models like Gemini and other ML tools.

Enhance existing verification methodologies by incorporating AI/ML techniques, ensuring a more comprehensive and efficient verification process.

Analyze verification data to identify trends, patterns, and areas for improvement, utilizing AI/ML to gain valuable insights and optimize verification strategies.

Work closely with design, architecture, and software teams to ensure seamless integration of AI/ML-driven verification solutions into the overall hardware development process.

Research and experiment with new AI/ML algorithms and techniques applicable to various verification tasks, including test generation, coverage analysis, bug triaging, and root cause analysis.

Accelerate design convergence through methodology improvements leveraging the aforementioned AI/ML techniques.