About Celestial AI
As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions.
The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies.
This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.
ABOUT THE ROLE
We are looking for a Staff DFT Engineer with 8+ years of hands-on experience in scan-based DFT implementation, including Scan Streaming Network (SSN) and IJTAG (IEEE 1687). This role focuses on end-to-end scan execution, from insertion and verification through DRC closure, coverage improvement, and final DFT signoff. The ideal candidate will own scan quality, coverage closure, and DFT signoff for complex SoC designs.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Lead hands-on scan DFT implementation, including:
- Scan insertion and stitching
- Scan Streaming Network (SSN) implementation
- IJTAG (IEEE 1687) insertion and connectivity
- Perform scan DFT verification, debug, and DFT DRC closure
- Debug and resolve scan-related DRCs, connectivity issues, and control signal problems
- Run, analyze, and debug SpyGlass DFT/RTL checks, partnering with design teams to resolve violations
- Generate, simulate, and debug ATPG scan patterns
- Analyze ATPG results and drive scan coverage improvement and closure
- Develop and validate DFT-related timing constraints (scan, shift, capture, and test modes)
- Create and maintain TCL scripts for scan insertion, ATPG setup, and coverage analysis
- Optimize scan implementations for pattern efficiency and test quality
- Support hierarchical scan integration at both block and SoC levels
- Collaborate closely with RTL and Physical Design teams to resolve scan-related issues
- Support pre-silicon DFT signoff and post-silicon pattern bring-up and debug
- Assist with ATE pattern conversion and scan debug activities
QUALIFICATIONS
- Bachelor’s degree with 8+ years of relevant experience, OR Master’s degree with 6+ years of relevant experience
- 8+ years of hands-on experience in DFT scan implementation
- Strong expertise with Siemens Tessent, including:
- Scan insertion and verification
- ATPG pattern generation and coverage analysis
- IJTAG (IEEE 1687) and SSN implementation
- Strong understanding of:
- Scan Streaming Network (SSN)
- IEEE 1149.x, IEEE 1500, and IEEE 1687 standards
- Proven ability to resolve scan DFT DRCs and drive coverage closure
- Strong TCL scripting skills for automation and flow customization
- Experience developing and validating scan and test-mode timing constraints
- Full DFT lifecycle experience, from RTL/netlist through silicon debug
- Strong debugging, ownership, and problem-solving skills
- Excellent verbal and written communication skills
PREFERRED QUALIFICATIONS
- Experience with scan compression and advanced scan architectures
- Post-silicon experience, including:
- Pattern bring-up and debug
- Silicon characterization and yield learning
- Experience mentoring junior engineers or owning DFT scan signoff
LOCATION: Santa Clara, CA, OR Orange County, CA
For California Location:
As an early stage start up, we offer an extremely attractive total compensation package inclusive of competitive base salary, bonus and a generous grant of our valuable early-stage equity. The target base salary for this role is approximately $225,000.00 - $245,000.00. 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.
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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
