Experimental Physicist

Extropic • Boston, MA

23d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree