Salary
$72k – $108k per year
Location
In office (San Francisco)
Employment
Internship
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 31, 2026.
Overview
Company
Impact
Profile match
Lambda Robotics builds autonomous robots for the data centers and facilities that keep AI compute running, deploying them into the real world where they improve with every deployment. Its vacancies include a founding go-to-market lead, electrical and mechatronics engineers and a robotics infrastructure software engineer. The company is headquartered in San Francisco, United States.
Backed by Y Combinator
Lambda Robotics builds autonomous systems for physical infrastructure. We’re looking for a founding software engineer to build the platform that turns individual robots into a secure, reliable fleet deployable across many customers and sites.
What you’ll own
- Build the infrastructure for managing and operating fleets of robots
- Design robot registration, identity, authentication, and access-control systems
- Build secure multi-tenant architecture that isolates each customer’s robots and data
- Develop remote deployment, configuration, software updates, and rollback systems
- Build logging, monitoring, alerting, and incident-recovery infrastructure
- Develop APIs and customer interfaces for commanding robots and viewing their status
- Build reliable pipelines for robot telemetry, video, logs, and operational data
- Work closely with robotics engineers to productionize teleoperation, autonomy, and data collection
- Define the architecture needed to scale from a few robots to thousands
What we’re looking for
- Deep experience building backend, distributed, cloud, or device-management systems
- Comfortable working across Linux, networking, APIs, databases, and deployment infrastructure
- Ability to design reliable systems that interact with real physical hardware
- Strong ownership and comfort working in a fast-moving, early-stage environment
Nice to have
- Experience with robotics, ROS 2, IoT, edge computing, or autonomous systems
- Experience with Kubernetes, containers, CI/CD, observability, or over-the-air updates
- Experience building secure multi-tenant SaaS or fleet-management platforms
- Familiarity with real-time video streaming and unreliable network environments
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