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:
We are looking for a Lead Reliability Engineer to spearhead reliability efforts specifically tailored for datacenter and high-performance computing (HPC) applications. The ideal candidate will have a strong background in reliability engineering with a focus on these critical environments, ensuring the robustness and uptime of our systems in demanding operational scenarios.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Develop and implement reliability strategies, standards, and processes customized for datacenter and high-performance computing applications, addressing unique challenges such as thermal management, power integrity, and workload variability.
- Lead reliability testing and qualification activities tailored for datacenter and HPC environments, including stress testing, thermal cycling, and performance degradation analysis.
- Collaborate closely with cross-functional teams, including hardware design, systems engineering, and datacenter operations, to integrate reliability considerations into product development and deployment processes.
- Conduct thorough reliability analyses specific to datacenter and HPC applications, such as MTBF (Mean Time Between Failures) calculations, system-level fault tolerance assessments, and risk mitigation strategies.
- Define reliability requirements and specifications for new products targeting datacenter and HPC markets, working closely with design teams to ensure compliance with industry standards and customer expectations.
- Lead root cause analysis and corrective actions for reliability issues identified in datacenter and HPC environments, driving continuous improvement initiatives and implementing best practices.
- Stay abreast of emerging technologies and industry trends in datacenter and HPC reliability engineering, leveraging this knowledge to enhance the reliability and performance of our systems.
QUALIFICATIONS:
- Bachelor's degree in Engineering or related field; Master's or PhD degree preferred.
- 15+ years of experience in reliability engineering, with a focus on datacenter and high-performance computing applications at component, board and system level.
- Very strong understanding on physics of failures to drive material and process improvements for components
- Strong understanding of reliability principles, methodologies, and tools relevant to datacenter and HPC environments, such as reliability modeling, fault tolerance techniques, and performance optimization strategies.
- Experience working with industry standards and guidelines specific to datacenter and HPC reliability, such as GR-468 and other relevant datacenter component qualification requirements.
- Proven ability to lead cross-functional teams and drive reliability initiatives in fast-paced environments.
- Excellent problem-solving skills and the ability to perform detailed root cause analysis in complex systems.
- Effective communication skills and the ability to collaborate with internal teams and external stakeholders in the datacenter and HPC ecosystem.
Location: Bay Area location is preferred.
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 $175,000.00 - $200,000.00. 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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Top Skills
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
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