We develop audacious AI computing platforms that elevate performance, energy and economic efficiencies, enabling our customers to rapidly deploy innovations in their AI applications.
We develop audacious AI computing platforms that elevate performance, energy and economic efficiencies, enabling our customers to rapidly deploy innovations in their AI applications.
Core product: Photonic Fabric — optical interconnect platform for chip-to-chip and memory disaggregation
Founded: 2020
Founders / key leaders: David (Dave) Lazovsky (Co‑Founder, CEO); Preet Virk (Co‑Founder, COO); Phil Winterbottom (CTO, technical co‑founder)
Recent funding: $250M Series C1 (Mar 11, 2025); $175M Series C (Mar 27, 2024); $100M Series B (Jun 28, 2023)
Headcount (approx.): 142
AI infrastructure, data-center interconnects, memory disaggregation
2020
Semiconductors / AI infrastructure
$100M
Series B announced June 28, 2023
$175M
Series C announced March 27, 2024
$250M
Series C1 announced March 11, 2025
“Mix of strategic and institutional investors including U.S. Innovative Technology Fund, Fidelity, AMD Ventures, Koch Disruptive Technologies, Temasek, BlackRock, Tiger Global”
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.
Description As Compiler Backend Engineer, you will be a key player in expanding the Backend functionality and optimizations for the Celestial AI Machine Learning accelerator architecture. We have opportunities in the areas of code generation, partitioning, kernel generation, and runtime interfaces. This role is highly collaborative with Architecture, Hardware, and ML Operations and Developers to ensure Compiler requirements and tools to achieve exceptional performance are met. The Hardware and Instruction Set Architecture (ISA) are driven from a Compiler perspective with the goal of rapidly delivering full functionality and performance across a broad spectrum of ML models with minimal Compiler complexity. The compiler design flow is iterative and fast-paced.
Essential Duties And Responsibilities
Qualifications
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.