Celestial AI is Hiring an UVM Verification Engineer Near Santa Clara, CA
About Celestial AI As the industry strives to meet the demands of the AI workloads, bottlenecks in data transfers between processors and memory have hindered progress. The Photonic Fabric based Memory Fabric provides an optically scalable solution to the 'Memory Wall' problem, enabling tens of Terabytes of memory capacity at full HBM bandwidths with low tens of nanoseconds of latency and extremely low power. The Photonic Fabric based Compute Fabric enables Terabyte class bandwidth between compute nodes at low latency and power. Photonic Fabric delivers a transformative leap in AI system performance, ten years more advanced than existing technologies. Job Description: In this role, you will be creating UVM testbenches for a custom AI processor, as well as tests, regressions, and functional coverage to achieve zero bug escapes. You will interface with the designers to develop the test plans, and from that develop testcases and coverage to thoroughly verify the RTL. Your regressions will grow to cover the full functionality of the design relative to the architectural simulator, and will include corner case testing for the more challenging cases. Your test and coverage reviews will ensure key coverage. ESSENTIAL DUTIES AND RESPONSIBILITIES:
Create UVM testbenches, tests, and constraints to ensure design correctness
Design, develop, and maintain modular and reusable UVM testbenches for blocks
Collaborate with colleagues to develop test plans
Create randomized tests, adding constraints and directed tests to fully cover functionality
Confirm test completeness through code and functional coverage
Review testbenches, tests, and coverage with designers, architects, and SW engineers
Integrate tests and coverage within full environment
Test ML scenarios and use cases
QUALIFICATIONS:
Requires 4 years of experience with UVM Testbench Infrastructure
Familiarity and experience with UVM testbenches, stimulus, constraints, and testing
Experience with DDR, preferred
Experience with System Verilog and Python
Understanding of constrained random testing, as well as corner case testing
Experience with code and functional coverage
Knowledge of / Experience in Network Protocols
Self-motivated with strong technical skills and a growth mindset
Great team player and effective communicator
Prefer familiarity with Jenkins, git, JIRA
Some knowledge of ML, AI trends, and HW accelerator landscape, preferred
BSEE 4 years' experience. MSEE preferred.
Location: San Francisco Bay Area or Orange County, CA For California location: As an early startup experiencing explosive growth, we offer an extremely attractive total compensation package, inclusive of competitive base salary and a generous grant of our valuable early-stage equity. The target base salary for this role is approximately $135,000.00 - $155,000.00. The base salary offered may be slightly higher or lower than the target base salary, based on the final scope as determined by the depth of the experience and skills demonstrated by candidate in the interviews. We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer. #LI-Onsite