Google

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

Posted On

June 25, 2024

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

July 11, 2024

Job Description

Work closely with Google DeepMind team on models (e.g., LLMs such as Gemini and other ML tools). Collaborate with verification teams to 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 explore new AI/ML algorithms and techniques applicable to various verification tasks, such as test generation, coverage analysis, bug triaging, and root cause analysis.
Be involved in accelerating design convergence using the aforementioned methodology improvements.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
16 years of experience in industry on firmware engineering EDA tools, IP/Chip Design, and Verification methodologies.
Experience in establishing and qualifying SoC design flow from an EDA reference flow and addressing product specific design/methodology requirements.
Experience solving verification issues using AI/ML algorithms and techniques.
Experience with Verilog, SystemVerilog, RTL Design, Simulation, UVM and static checks, Clock and Reset Domain Crossing.
Experience working on firmware engineering EDA tools and automation, Flow development.

Preferred qualifications:

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

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
16 years of experience in industry on firmware engineering EDA tools, IP/Chip Design, and Verification methodologies.
Experience in establishing and qualifying SoC design flow from an EDA reference flow and addressing product specific design/methodology requirements.
Experience solving verification issues using AI/ML algorithms and techniques.
Experience with Verilog, SystemVerilog, RTL Design, Simulation, UVM and static checks, Clock and Reset Domain Crossing.
Experience working on firmware engineering EDA tools and automation, Flow development.

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a Design Verification Lead specializing in AI/ML methodology at Google, you will be transforming the verification landscape for hardware designs. You will play a pivotal role in integrating state-of-the-art AI/ML techniques into pre-silicon and post-silicon verification processes, enhancing their efficiency, effectiveness, and reliability. Leveraging expertise in both verification and AI/ML, you will develop innovative solutions that automate repetitive tasks, uncover hidden design flaws, and optimize verification strategies, leading to faster time-to-market and higher quality products. By collaborating with cross-functional teams and staying abreast of the latest advancements in AI/ML, you will contribute to shaping the future of hardware verification at Google, ensuring the company's products meet the standards of quality and performance.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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