Celestial AI

60 Total Employees
Year Founded: 2020

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Jobs at Celestial AI

Search the 5 jobs at Celestial AI

Recently posted jobs

Artificial Intelligence • Machine Learning
Drive innovative System Architecture for high-speed analog Serdes customized for AI applications. Responsibilities include modeling, simulation, and analysis of systems, defining standards, designing experiments, debugging problems, and collaborating with designers. Qualifications include a master's degree with 6+ years of experience or a PhD with 3+ years of experience, expertise in high-speed serial data protocols, communication system modeling, high-speed DSP, FEC, Analog Serdes, and DSP block design.
Artificial Intelligence • Machine Learning
Seeking a highly skilled and experienced Senior DFT Design Engineer with expertise in DFT methodologies, EDA DFT tools, and validation. Experience with TSMC N5 production test is highly valued.
Artificial Intelligence • Machine Learning
Develop and implement complex digital designs for high-performance ASICs and SoCs. Optimize designs for power, performance, and area. Experience with deep technology nodes and large designs.
18 Days Ago
3 Locations
Artificial Intelligence • Machine Learning
As an RTL design engineer, you will collaborate with architects and implementation leads to define and implement RTL modules. Emphasis will be placed on minimizing power consumption while creating high quality, re-useable design.
18 Days Ago
4 Locations
Artificial Intelligence • Machine Learning
As an AMS Design Engineer, you will be responsible for driving the innovative, high-speed analog architecture for low-power, high-performance AMS solutions customized for AI applications. You will perform top-down architectural analysis, develop understanding of subsystem requirements, enhance system performance, and define design specifications and verification plans. The role requires a Master's degree with 3+ years of experience or a PhD with 3+ years of experience. Strong skills in MATLAB, Simulink, Verilog, data converter architectures, and analog techniques are necessary.