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Physicist

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Brahma Consulting Group
Full Time position
Listed on 2026-05-25
Job specializations:
  • Engineering
    Electrical Engineering, Electronics Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Brahma is conducting this search on behalf of our client.

A well-funded, deep tech venture is seeking a Experimental Physicist to lead characterization and validation of an emerging computing architecture. This role sits at the intersection of fundamental physics and next-generation hardware development.

You will design the measurement frameworks needed to bridge theoretical models and physical hardware, working closely with an interdisciplinary engineering team.

Core Responsibilities
  • Design and execute high-precision experiments to characterize microelectronic devices, including I-V, noise, and high-frequency response
  • Apply advanced signal processing (FFT, statistical analysis, stochastic modeling) to extract insights from complex physical systems
  • Lead laboratory instrumentation using SMUs, spectrum analyzers, and network analyzers, including in temperature-controlled environments
  • Develop Python-based automation and custom measurement setups for data acquisition
  • Collaborate with IC designers to correlate experimental results with simulation data
Technical Requirements
  • Deep understanding of semiconductor physics, device characterization, and mesoscopic phenomena
  • Strong proficiency in signal processing, stochastic processes, and physical modeling
  • Hands‑on experience with probe stations, high-speed sampling, and custom instrumentation builds
  • PhD or equivalent in Physics, Applied Physics, or Electrical Engineering (experimental focus)
  • Interest in non-linear dynamics or analog hardware systems
Preferred Qualifications
  • Experience with unconventional or post-CMOS computing paradigms
  • Familiarity with CMOS fabrication or advanced device characterization
  • ML experience applied to experimental datasets
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