Celestial AI

HQ
Santa Clara, California, USA
60 Total Employees
Year Founded: 2020

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Jobs at Celestial AI
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Recently posted jobs

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Artificial Intelligence • Machine Learning
The Photonics Chip Lead will drive the design and delivery of Photonic ICs, collaborating with teams to ensure product specifications and exploring new solutions in Silicon Photonics.
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Artificial Intelligence • Machine Learning
The Senior SoC Design Engineer will design and implement complex SoCs, integrating high-speed interfaces and managing the ASIC implementation flow, ensuring design quality and collaboration with cross-functional teams.
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The Physical Design Engineer will develop low-power, area-efficient designs, implement methodologies, collaborate with teams, and perform physical verification and analysis.
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Artificial Intelligence • Machine Learning
The Verification Engineer will create UVM testbenches, develop verification plans, and collaborate with design teams to ensure SoCs are functionally correct and meet project deadlines.
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Artificial Intelligence • Machine Learning
Design and layout of large-scale Silicon Photonic ICs interfacing with co-designed ASICs, ensuring opto-electronic performance and signal integrity.
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Artificial Intelligence • Machine Learning
The Package Design Engineer will lead semiconductor packaging design, ensuring collaboration across multiple teams for reliable, cost-effective solutions while enhancing performance metrics.
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Artificial Intelligence • Machine Learning
Develop silicon photonic devices for mass production, creating testing methods and supporting teams for high-volume manufacturing. Responsible for device characterization, customer qualifications, and optics-based testing.
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Artificial Intelligence • Machine Learning
The Senior Firmware Engineer will architect and develop firmware for Celestial AI's photonic fabric, collaborating on AI platform systems and enhancing resource management and optimization.
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Artificial Intelligence • Machine Learning
The role focuses on leading semiconductor packaging process development and managing partnerships to ensure high volume manufacturing of AI products.
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Artificial Intelligence • Machine Learning
The Package Integration Engineer will manage packaging integration, vendor coordination, and project execution, focusing on improving yield and coordinating cross-functional manufacturing efforts.
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Artificial Intelligence • Machine Learning
The Package Reliability Engineer will conduct reliability analysis, manage OSAT collaborations, select materials, and perform failure analysis for advanced packaging systems.
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Lead the ASIC design team overseeing development, scheduling, and resource management, ensuring designs meet performance goals and timelines.
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Manage complex semiconductor programs from IP development to platform delivery. Collaborate with engineering teams, manage customer interactions, and ensure program excellence.
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The Test Engineer will develop, debug, and optimize ATE and SLT test programs, analyze test data, and support new product introductions. Expertise in optics-based testing is desirable.
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Santa Clara, CA, USA
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Artificial Intelligence • Machine Learning
Drive AI product assembly processes from concept to high volume manufacturing, collaborating with foundries and managing technology development while ensuring reliability and cost efficiency.