Physical Design Engineer
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 seeking a highly skilled and experienced Physical Design Engineer to join our team. The ideal candidate will have a strong background in physical design & physical design methodologies for both SOC level and block level. They should have experience that includes floorplanning, hard IP integration, power distribution, Multi-Supply, Multi-Vt, Clock Tree Synthesis, as well as timing budgeting, optimization and timing closure of high-speed designs. Additionally, experience with deep technology nodes such as 5nm/4nm would be highly valued.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develop and implement high-performance, low-power, area efficient physical design for SOC and block level designs using industry standard EDA tools.
- Work closely with digital and analog design teams to understand design requirements and constraints to be able to implement physical design.
- Contribute to physical design flow development.
- Resolve or find workarounds for tool issues, independently or working with EDA tool vendors.
- Work closely with synthesis team to help provide feedback on design feasibility, constraints, timing, power, placement and routing issues.
- Perform physical verification, STA, EM & IR Drop analysis.
QUALIFICATIONS
- Bachelor's degree in Electrical or Computer Engineering (advanced degree preferred).
- Minimum of 5 years of industry experience in physical design.
- Knowledge and hands-on experience with physical design methodologies and implementation.
- Proficiency in relevant EDA physical design and verification tools (e.g., Cadence Innovus, Tempus, Quantus, Voltus, Pegasus) and scripting languages (e.g., Tcl, Perl).
- Experience with custom IP integration.
- Strong understanding of deep technology nodes, preferably TSMC N5.
- Solid understanding of physical design and timing optimization techniques and strategies to achieve physical design and timing closure.
- Proven track record of delivering successful designs on time and meeting performance, power and area goals.
- Excellent problem-solving skills and ability to analyze and debug complex physical design issues.
- Strong communication and collaboration skills to work effectively within cross-functional teams.
PREFERRED QUALIFICATIONS
- Experience with complex clock tree synthesis.
- Knowledge of low-power UPF based physical design flows.
- Knowledge of hierarchical physical design flows, for large chips.
- Understanding of power-aware optimization techniques for low-power designs.
- Understanding process related issues such as OCV, DFM, yield, multi-vt strategies and thermal management.
LOCATION: 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 $185,000.00 - $215,000.00. 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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