R&D Engineering Intern

Technergetics
$22 - $28Remote

About The Position

Technergetics is seeking a full-time research intern for a 3-month engagement to support a Phase I SBIR/STTR R&D effort. The focus is on secure, low-power personnel tracking for edge environments where GPS, cellular, and Wi-Fi are unreliable. This role involves hands-on R&D, including protocol design, mesh networking experimentation, and documenting findings for a follow-on proposal. Strong performers may be considered for a permanent position upon completion of the internship, depending on company needs.

Requirements

  • Matriculation in an accredited college or university while pursuing a Master's Degree or a late-stage BS/BA (rising senior or final-year) in computer engineering, electrical engineering or a closely related field.
  • Coursework or project experience in at least two of: wireless communications, embedded systems, networking protocols, or applied cryptography
  • Comfortable with C/C++ and/or Python for embedded and simulation work
  • Strong technical writing skills; ability to co-author sections of the final report
  • Self-directed; able to plan and execute against weekly milestones in a remote setup
  • U.S. citizen (due to contract requirements)

Nice To Haves

  • Hands-on experience with LoRa, LoRaWAN, Meshtastic, Thread, BLE, or Zigbee
  • Prior bench prototyping experience with commercial parts such as Semtech SX126x/SX127x, ESP32, STM32, or Nordic SoCs
  • Familiarity with mesh routing, TDMA, or SDR experimentation
  • Exposure to ns-3, OMNeT++, or similar network simulators
  • Interest in defense applications, edge AI, or tactical networking

Responsibilities

  • Researching mesh networking approaches for Denied, Disconnected, Intermittent, and Limited-bandwidth (D-DIL) environments
  • Comparative analysis of LoRaWAN, Meshtastic, Thread, and military tactical data link design principles (TDMA scheduling, anti-jam, time sync)
  • Drafting a notional message format optimized for constrained RF links
  • Evaluating cluster formation strategies (entropy-based weighting, RSSI, residual energy trade-offs)
  • Lightweight crypto evaluation (PKI vs. symmetric key distribution for low-power MCUs)
  • Contributing to the final technical report and follow-on roadmap
  • Assist with tasking under this effort that may not be specifically listed here.

Benefits

  • Hourly wage dependent on schooling and experience ($22-$28)
  • Potential for permanent role for strong performers
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