Founding Software Engineer

Location: San Francisco

1. About the Company

TerraWise is building autonomous ground robotics and AI to power the next generation of utility-scale solar operations. As solar deployments scale rapidly, maintaining vast, remote infrastructure has become a critical challenge. Today’s O&M teams rely on labor-intensive inspections and fragmented data to keep sites running. TerraWise changes that by deploying rugged autonomous rovers paired with a real-time intelligence platform that continuously monitors assets, detects issues early, and delivers actionable insights. Our mission is to augment field teams; improving uptime, safety, and efficiency while reducing operational costs.

We’re a venture-backed, Seed-stage deep-tech startup at the intersection of robotics, AI, and clean energy, building systems designed to operate in harsh real-world environments, solving real problems for a positive impact. If you want to work on technology that directly accelerates the world’s transition to renewable energy, we’d love to talk.

2. About the Role

What you'll do:

• Own product delivery for TerraWise's customer platform (frontend, backend, data APIs, auth, observability).
• Lead & mentor our front-end/back-end team; set coding standards, reviews, and sprints.
• Stand up ML infra (model registry, feature store, inference services, batch jobs, metrics).
• Drive platform reliability: logging, tracing, and CI/CD.
• Collaborate with robotics, autonomy, and CV to close the loop from field robots -> analytics -> actionable insights.

Requirements:

• 3–5+ yrs as a strong IC
• Backend: FastAPI/Django/Node, REST/GraphQL, Postgres, Redis, object storage, queues.
• DevOps: Docker, CI/CD, AWS.
• Fluency in Python and one modern TypeScript web stack (React + Next.js).
• Fast, iterative product development: ability to hack, ship, and refine quickly with strong product intuition.

Bonus skills:

• 1–3 yrs tech lead/manager.
• Robotics: ROS, C++
• ML/MLOps: PyTorch, model packaging, batch/stream processing, inference, experiment tracking.
• Map/GIS, WebGL, Computer Vision pipelines

Stack: Python, NodeJS, C++, AWS/GCP, FastAPI, MongoDB, Docker, ROS, CI/CD, PyTorch, MLOps, Computer Vision, GIS.

3. Benefits and Pay

• $150,000–$250,000 base salary
• Benefits: Health insurance, Gym membership, office lunches, etc.
• 0.5–1% equity on a standard 4-year vesting schedule with a 1-year cliff (stock options value $100K+)
• Start date: April 2026