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About the Role

We are hiring a Founding Software Engineer to own the software platform that turns our foundation model and IoT hardware into a usable product. As an early addition to our growing team, you’ll help define not only what we build, but how we build it. From cloud infrastructure and APIs to real-time dashboards and firmware integrations, you'll own systems that are both fast to ship and engineered to last. You’ll collaborate daily with our scientists and hardware engineers, influence architectural decisions, and lay down the software foundations that future teams will build upon. We’re looking for an engineer whose strengths lean toward backend systems, platforms, distributed architectures, infrastructure, and reliability. Front-end work is part of the job, but elegant user interfaces are less important than building robust systems that operate reliably in the real world. At The Electric Plant, AI-native development is a core part of our engineering culture, and we want you to help our science, operations, and deployment teams build internal tools using AI -augmented workflows. We expect engineers to be fluent with modern AI-assisted development workflows and to use them as a force multiplier for design, implementation, debugging, testing, and operations.

Responsibilities

Build and scale the platform that ingests, processes, and visualizes our IoT data, integrating sensors and AI models.
Design and evolve cloud architectures that support large-scale, distributed sensor networks.
Develop and maintain APIs, services, and dashboards for internal teams and external clients.
Partner closely with scientists, hardware engineers, product, and deployment teams to bring new capabilities into production.
Help the team build internal tools using AI-augmented development workflows, mentoring colleagues in safe, mature use of AI coding tools.
Own systems end-to-end, from architecture and implementation through deployment, monitoring, reliability, and improving cost efficiency.
Build observability, reliability, and operational tooling that enables the platform to scale.
Use AI-assisted development tools as a core part of your workflow to increase engineering leverage and velocity.
Contribute to technical strategy and roadmap while executing quickly on short-term needs.

Requirements

7–10 years of professional software engineering experience, with a demonstrated history of owning production systems end-to-end, regardless of title or years of experience.
Strong experience building backend systems, APIs, distributed systems, cloud platforms, and infrastructure.
Experience designing and operating production systems with reliability, scalability, and maintainability in mind.
Comfort working across the stack when needed, while bringing particular strength in backend and platform engineering.
Real fluency with AI-augmented development workflows (Claude Code, Codex, Cursor, or equivalent).
Maturity about how AI gets used in production: you ship acceleration, not slop.
Excited by IoT and embedded systems; ideally some exposure to firmware or protocols like MQTT or LoRaWAN.
Startup velocity and judgment about what to skip — you ship the right version for the moment.
Direct, low-ego communicator. Honest about what's broken. Comfortable being the one who says "this won't work" or "let's just do it."
Experience building AI-enabled or ML-powered products.
Prior experience at a deep-tech or hardware-software company — physical AI, IoT, robotics, climate, life sciences.
Wireless / LoRaWAN experience

Skills

Golang
Postgres
Linux
GCP
React
C
MicroPython
LoRaWAN
MQTT
AI-assisted development workflows

Location

San Francisco

Work Type

In-person
Full-time
Permanent

Experience Level

7-10 years

Salary/Compensations

$175,000–$195,000 per year

Benefits

Standard benefits
Meaningful equity package

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.