Hardware Engineer

Electric
San Francisco, United States of America
30 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Francisco, United States of America

Tech stack

LTE (Telecommunication)
Altium Designer
ARM
Automation of Tests
C++
Electronic Design Automation
Firmware
Python
Machine Learning
Message Queuing Telemetry Transport (MQTT)
Raw Data
Real-Time Operating Systems
LoRaWaN
Schematic Capture
Signal Processing
Universal Asynchronous Receiver/Transmitter
Peripherals
NB-IoT

Job description

We are hiring a Hardware Engineer to own the full electronic stack of our IoT hardware - the device that streams biosignals from real plants and trees in the field, and the only data-collection device for our foundation model.

From the electrode interface through the analog front end, ADC chain, embedded firmware, and the hand-off to our ML training pipeline, you own how clean and how trainable the signal is when it reaches our model. Alongside the core IoT product, you'll also build hardware that the rest of the company depends on - custom lab equipment, research sensors, and bench tooling that help our science team probe new signals before they become product features.

Every signal our foundation model learns from flows through what you build. You will set the upper bound on what the model can learn.

Tech stack: C/C++ firmware on ESP32 and low-power LoRa MCUs. Altium or KiCad. LoRaWAN, MQTT, and other IoT protocols on the edge. Python for test automation and characterization tooling., * Design, review, and bring up schematics and PCBAs across the IoT hardware stack - multi-PCBA designs spanning analog front end, MCU/main, and power

  • Own the mixed-signal front end for plant electrophysiology - electrode interface, instrumentation amps, filtering, ADC chain, and noise floor characterization against real plant signals
  • Write and maintain embedded firmware in C/C++ on ESP32 today, with low-power LoRa MCU variants on the near roadmap for outdoor and off-grid deployments
  • Characterize and validate sensors against ground truth - bench protocols, automated test rigs, repeatability studies, in-vivo work alongside our science team
  • Partner closely with the foundation model team so the raw data captured in the field is actually trainable - you own the link between hardware and dataset quality
  • Build custom lab and research hardware - purpose-built sensors, test rigs, and instrumentation that help the science team probe new signals before they become product features
  • Bring up every new build with your own hands - oscilloscope, logic analyzer, and spectrum analyzer fluent

Requirements

Do you have experience in Sensors?, * 4+ years shipping embedded hardware products end-to-end - concept through DVT to production. You've debugged your own boards.

  • Strong C/C++ on ARM Cortex and ESP32, with real fluency in peripherals (SPI/I²C/UART), DMA, and RTOS basics
  • Hands-on schematic capture and PCBA bring-up in Altium or KiCad
  • Solid mixed-signal and analog instincts - ADCs, instrumentation and precision amps, low-noise design, grounding and decoupling discipline
  • A track record of validating sensors against ground truth, not just "the LED blinks"
  • Comfortable in a 10-30 person startup with limited process scaffolding - you write the protocol you wished existed
  • Direct, low-ego communicator. Excited to work shoulder-to-shoulder with scientists, ML engineers, and operators., * Biosensors, electrophysiology, neural interfaces, or bioelectronics background - academic or industrial
  • Plant science exposure - published research, a personal interest, or just having put electrodes on a tree before
  • Low-power IoT stacks (LoRaWAN, NB-IoT, LTE-M) and battery-life optimization
  • DSP, digital filtering, or signal-processing chops
  • Prior outdoor or agricultural product experience - IP-rated enclosures, environmental robustness, field-serviceable design

About the company

The Electric Plant Co. is building a new category of plant and tree intelligence. Our IoT hardware measures the hidden electrical signals in plants and trees, paired with environmental data, and our foundation model decodes those signals into real-time insights about plant health, growth, and stress. We're a small, fast-moving company in San Francisco working at the intersection of biology, hardware, AI, and IoT. We closed our seed round in November 2025 and our first commercial deployment launches in August.

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