Staff Electrical Engineer

The Electric Plant•San Francisco, CA

2d•Onsite

About The Position

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. The Role We are hiring a Staff Electrical Engineer to own the sensing and signal-acquisition platform at the core of our product. This is a full electronic stack role spanning analog design, embedded systems, sensor validation, and field deployment. The right candidate is a generalist who can handle a lot of breadth, recognize when and how to get help where there are knowledge gaps, and evolve from making working devices at scale to fleet management software, firmware updates, bug fixes, and development of new versions and products. Our hardware measures electrical signals from living plants and trees in the field. Every signal our foundation model learns from flows through electronics that you design, validate, and improve. From electrode interfaces and analog front ends to embedded firmware, low-power field devices, and the hand-off to our ML training pipeline, you will determine what data reaches the model and how much signal survives the journey. Alongside the core IoT product, you’ll build hardware that the rest of the company depends on — custom lab equipment, research sensors, and instrumentation that help our science team explore new signals before they become product features. You will be the most experienced electrical engineer at the company and will help set the direction for how we design, validate, and evolve our sensing systems. You’ll collaborate with scientists, ML engineers, operations, and leadership, influencing decisions that span hardware architecture, dataset quality, and the future capabilities of the platform. 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.

Requirements

6–12 years developing and shipping electronic products, with a demonstrated history of owning real hardware systems end-to-end.
Strong mixed-signal and analog design experience.
Instrumentation and precision amplifiers, ADCs, filtering, low-noise design, grounding, decoupling, and sensor interfaces are familiar territory.
Hands-on schematic capture, PCB design, bring-up, and debugging.
Technical leadership across disciplines.
Embedded experience. You’ve shipped OT projects at scale, are strong in C/C++ on ESP32/ARM, and get the basics of RTOS.
A track record of validating sensors against ground truth, not just proving that the system powers on.
Direct, low-ego communicator. Comfortable saying “the data isn’t good enough yet,” “this architecture won’t scale,” or “we should simplify this.”
Successful candidates will likely come from one of two backgrounds: An analog- and mixed-signal-focused electrical engineer who has shipped embedded products. An embedded systems engineer with unusually strong analog instincts and a track record of owning hardware products end-to-end.

Nice To Haves

Biosensors, electrophysiology, neural interfaces, bioelectronics, or other low-signal sensing systems — 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 experience.
Prior experience at a deep-tech or hardware-software company — physical AI, IoT, robotics, climate, life sciences.
Prior outdoor or agricultural product experience — IP-rated enclosures, environmental robustness, field-serviceable design.

Responsibilities

Set the electrical architecture for our sensing platform across analog front end, embedded systems, power, and field deployments.
Own the mixed-signal front end for plant electrophysiology — electrode interfaces, instrumentation amplifiers, filtering, ADC chains, and noise-floor characterization against real plant signals.
Design, review, and bring up schematics and PCBAs across the IoT hardware stack — multi-PCBA designs spanning analog front end, MCU/main, and power.
Establish the validation methods and characterization protocols that determine whether a signal is trustworthy enough to become part of the dataset.
Partner closely with the science and foundation-model teams to improve signal quality, evaluate new sensing approaches, and ensure the data captured in the field is actually trainable.
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.
Contribute to embedded firmware development in C/C++ across ESP32 and future low-power LoRa platforms, particularly for hardware bring-up, characterization, deployment, and debugging.
Drive technical decisions that influence hardware performance, dataset quality, reliability, and future sensing capabilities.
Bring up every new build with your own hands — oscilloscope, logic analyzer, and spectrum analyzer fluent.