26 Aug
|
Google
|
Bengaluru
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, or equivalent practical experience.
- 1 year of experience with verification methodology such as universal verification methodology (UVM).
- 1 year of experience in the verification of IP designs such as IP, SoC, vector CPUs, etc.
- Experience with SystemVerilog, SVA, and functional coverage.
Preferred qualifications:
- Master's degree in Electrical Engineering, or a related technical field.
- Experience with industry-standard simulators, revision control systems, and regression systems.
- Experience with the full verification life-cycle.
- Experience in Artificial Intelligence/Machine Learning (AI/ML) Accelerators or vector processing units.
- Excellent problem-solving and communication skills.
In this role, you will own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals,
build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in active projects and perform verification.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale c
📌 Design Verification Engineer, Cloud Silicon (Bengaluru)
🏢 Google
📍 Bengaluru