Senior Full Stack Engineer

South San Francisco. Posted 3 months ago

The role

You will design and build full-stack cloud applications to monitor and control fleets of robots. You will develop internal and customer-facing tools for robot command, control, monitoring, and analytics.

What you will do

Design and build full-stack cloud applications that monitor and control fleets of robots.
Develop internal and customer-facing tools for robot command, control, monitoring, and analytics.
Build scalable backend services and APIs for large-scale streaming and historical data.
Develop real-time frontend interfaces for robotics visualization.
Work with high-volume live video and telemetry streams.
Design and manage the data layer including pipelines for ingestion, storage, and querying.
Build and integrate agentic tools and workflows.
Improve reliability, scalability, and observability across distributed systems.
Debug and resolve issues in the field.
Document new work to help it get adopted across the team.

Required qualifications

BS/MS in CS, Robotics, or a related technical field (or equivalent experience).
6+ years of experience building production-grade cloud applications and backend systems.
Strong proficiency in Python and TypeScript/JavaScript.
Comfort with React or a similar frontend framework.
Experience with large-scale data infrastructure - streaming pipelines, message queues, or distributed data stores.
Experience with agentic AI systems, LLM-based tooling, or autonomous decision-making pipelines.
Experience with cloud infra, deployment and monitoring (AWS/GCP/Azure).
Experience delivering complete software products, from requirements through support in the field.
Comfortable taking ownership of tasks with light supervision.
Communicating decisions clearly to the team.
Legally authorized to work in the United States.

Nice to have

Familiarity with robotics/physical AI applications.
Experience with physical AI data.
Experience with Rust or Go.

About the company

Gritt is an intelligent system that combines robotics and AI to build infrastructure. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT.