Extropic

Extropic is hiring an Experimental Physicist to help characterize and validate our novel computing architectures. The ideal candidate would be someone with a deep understanding of experimental methodology, solid experience in microelectronics characterization, and strong signal processing and data a

Position Overview: Extropic is seeking a highly skilled Embedded Software Engineer with deep experience in both bare-metal firmware development and embedded Linux application design. The ideal candidate should have a strong background working with heterogeneous multi-core RISC-V or ARM processors (e

Extropic is hiring a Test and Automation Engineer to help accelerate development of our embedded systems. We’re looking for someone who thrives in a startup environment, who is looking to take ownership of product areas and ensure quality and stability. The ideal candidate is a generalist who enjoys

Overview Extropic’s hardware massively accelerates certain kinds of probabilistic inference. Our ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its

Extropic is hiring a Hardware Systems Engineer to help accelerate our software/hardware development. The ideal candidate would be someone with a passion to develop the best software and hardware solutions. Experience in designing real-time digital signal processing systems using FPGAs Experience in

Overview Extropic is hiring an Analog/Mixed-Signal Engineer to help accelerate our hardware development. The ideal candidate would be someone with a deep understanding of Analog/Mixed signal design and needs to have a solid understanding of CMOS device characteristics, noise, mismatch, linearity and

Overview Extropic’s hardware massively accelerates certain kinds of probabilistic inference. Our ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its