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
What We Do
Celestial AI is a Machine Learning (ML) accelerator company that has developed a proprietary technology platform which enables the next generation of high-performance computing solutions. Celestial AI’s mission is to transform data parallel computing with a proprietary Photonic Fabric™ technology platform which uses light for data movement both within chip and between chips.
Advancements in data communications have driven robust silicon photonics technology and volume manufacturing ecosystems that are ripe for commercial implementation of ML and high-performance computing (HPC) solutions which leverage integrated silicon photonics for data movement.
Celestial AI’s system delivers differentiated single node performance that scales efficiently, providing significant performance gains for multi-node and multi model applications. The scalability of Celestial AI’s accelerator architecture enables an efficient and performant mapping of data and compute over a broad range of ML model types without the need for complex software optimizations. Celestial AI’s competitive advantage will further grow over time as ML models continue to increase in complexity and size.
Celestial AI has assembled a highly experienced team of industry leaders who have a track record of building multiple successful technology businesses. The company’s Orion AI accelerator products serve an addressable market that is projected by Omida to exceed $70 billion in 2025
.png)
.png)
.png)
