software engineering intern (backend / robotics infrastructure）

Start Date:
ASAP

About Us

Mundane is a venture-backed seed-stage robot learning startup founded by a team of Stanford researchers and builders. We’re deploying a massive fleet of humanoid robots to perform mundane tasks in commercial environments, collecting data to build the next generation of embodied intelligence. We’re a fast-paced, execution-driven team of engineers, roboticists, and dreamers.

Our mission is simple and audacious: build robots that feel human to control — systems that extend human intent into the physical world with immediacy, precision, and grace.

About the Role

As a
Software Engineering Intern (Backend / Robotics Infrastructure)
, you’ll help build the cloud and backend systems that connect Mundane’s humanoid robots to operators, data pipelines, and machine learning infrastructure.

You’ll work on the invisible backbone of our platform: secure robot connectivity, teleoperation session management, data ingestion, and fleet-scale orchestration. Your work will ensure that robots can reliably connect from the real world, stream data, receive updates, and be operated safely at scale.

This role sits at the intersection of
distributed systems, robotics, and edge-to-cloud infrastructure
. You’ll collaborate closely with robotics, controls, and product teams, contributing code that directly powers real robots deployed in production environments.

Responsibilities

- Build and extend backend services that connect internet-enabled robots to cloud infrastructure
- Assist with
secure session management
for teleoperation, including robot–operator connection, disconnection, and monitoring
- Implement and maintain
authentication and authorization
mechanisms for robots, operators, and internal services
- Support
edge-to-cloud communication
over unreliable or high-latency networks such as cellular or 5G
- Contribute to
data ingestion and buffering pipelines
for moving large volumes of robot data into the cloud
- Help define and implement
cloud data storage and organization
strategies for analytics and machine learning
- Assist with
over-the-air (OTA) update
and remote deployment workflows for robot fleets
- Build internal tooling, dashboards, or alerts to improve
observability, reliability, and debugging
- Collaborate with robotics engineers to define clean interfaces between cloud services and robot-side software

Qualifications

- Must-HavesStrong programming ability in
Python and/or C++
- Solid understanding of
backend systems, APIs, and distributed system fundamentals
- Familiarity with
authentication, authorization, and secure system design concepts
- Comfort working with Linux, networking basics, and debugging production-like systems
- Interest in robotics, real-time systems, or infrastructure that interacts with the physical world
- Curiosity, autonomy, and a bias toward execution

Bonus

- Experience with
cloud platforms
(AWS, GCP, or Azure)
- Familiarity with
ROS2, DDS, or robotics middleware
- Exposure to
streaming systems
, real-time data, or low-latency communication
- Experience with
data pipelines, message queues, or databases
- Prior internship or project experience involving production infrastructure

What You’ll Get

• Hands-on experience building the backend systems that power real humanoid robots
• Direct mentorship from Mundane’s founders and senior engineers
• The opportunity to ship production code used in live robot deployments
• Ownership over meaningful components of a fleet-scale robotics platform
• A fast-moving environment that rewards technical depth, initiative, and good taste

Perks:
free merch, robots, espresso, flexible hours, sauna & cold plunge (pending).