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$150k – $250k per year
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In office (Boston)
Employment
Full-Time
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Extropic is building thermodynamic computing hardware that performs probabilistic sampling in physics rather than in software. Founded in 2022 by former Google quantum computing researchers, it targets generative models that are natively stochastic. The company published its first prototype chips and an open simulation stack.

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 analysis capabilities to extract insights from complex experimental data.

Required Experience

  • Experience designing and executing experiments for characterizing microelectronic devices and circuits (I-V characteristics, noise measurements, high-frequency response, temperature dependencies)

  • Proficiency in experimental signal processing and data analysis (filtering, FFT analysis, statistical analysis, and noise characterization)Hands-on experience with laboratory instrumentation (oscilloscopes, spectrum analyzers, network analyzers, signal generators, source-measure units, probe stations)Experience temperature-controlled measurements and understanding of device physics at varying temperature regimes

  • Strong background in developing custom measurement setups and automation scripts for data acquisition

  • Experience analyzing non-linear dynamics, stochastic processes, or analog computing primitives

  • Understanding of information theory, and statistical mechanics as applied to physical systems

  • Proficiency in data analysis programming with experience in scientific computing Experience correlating experimental results with theoretical models and simulation data

  • Ability to work collaboratively with circuit designers to iterate on device and architecture designs

Preferred Experience

  • PhD in Physics, Applied Physics, Electrical Engineering, or related field with focus on experimental work

  • Experience with neuromorphic computing, analog computing, or unconventional computing architectures

  • Background in mesoscopic physics, semiconductor device physics, or quantum transport

  • Experience with high-speed digital sampling and real-time data processing

  • Familiarity with machine learning techniques for experimental data analysis and pattern recognition

  • Experience with CMOS device characterization or semiconductor fabrication processes

  • Publications demonstrating ability to extract physical insights from experimental data

  • Experience building or contributing to measurement databases and data pipelines for device characterization

This position will require access to information subject to control under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that any offer for employment will be conditioned on authorization to receive controlled items.

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