Senior IP Design Verification Engineer, Google Cloud
Google · Posted Nov 8
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The AI and Infrastructure team delivers AI and infrastructure at hyperscale for Googlers, Google Cloud customers, and Google users, spanning TPUs, Vertex AI, Google Global Networking, and data center operations. This role focuses on custom silicon for TPU hardware acceleration powering AI/ML workloads. The engineer will own the full verification life-cycle, from verification planning and constrained-random environment building in SystemVerilog/UVM to coverage closure and tape-out sign-off, working closely with design engineers.
What you will do
- Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios.
- Identify and write all types of coverage measures for stimulus and corner-cases.
- Debug tests with design engineers to deliver functionally correct design blocks.
- Measure to identify verification holes and to show progress towards tape-out.
- Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM).
Skills used in this role
What the employer is looking for
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in Verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs.
- Experience in verification and debug of IP/subsystem/SoCs in the networking domain such as packet processing, bandwidth management, congestion control.
- Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).
Preferred qualifications
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with industry-standard simulators, revision control systems, and regression systems.
- Experience in Artificial Intelligence/Machine Learning (AI/ML) Accelerators or vector processing units.
- Experience with the full verification life cycle.
- Excellent problem-solving and communication skills.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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