Experimental Physicist

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

Details

Location

Boston, MA, USA

Salary

$150,000 – $250,000/year

Technologies

Python

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