3+ years of experience in robotics software engineering or embedded systems
Proficient in C++, Python, or Rust
Knowledge of networking protocols (e.g., gRPC, DDS, MQTT)
Familiarity with cloud platforms (AWS, GCP) and data storage
Experience with ROS/ROS2 robotics middleware
Ability to debug hardware and software issues
Comfortable working with physical hardware in dynamic settings
Responsibilities
Build and maintain networking infrastructure for robot systems
Own data collection pipelines for sensor and telemetry data
Develop telemetry and observability systems for robot monitoring
Create internal tooling to enhance software development processes
Integrate perception and control systems within the software stack
Support new hardware bring-up and field testing
Collaborate with engineers to ensure data quality and reliability
Benefits
Opportunity to work on cutting-edge humanoid robotics
High ownership and impact in a small, agile team
Collaboration with diverse engineering disciplines
Direct contribution to improving robot performance in the field
Full Job Description
We're looking for a Robot Software Engineer to help build and maintain the broad software foundation that keeps our humanoid robots running. You'll work across the full onboard stack - from networking and communication infrastructure to perception and control integration, data collection pipelines, and the tooling that lets us continue to develop and improve our robots in the field.
What You'll Do
Build and maintain the networking and communication infrastructure that connects onboard robot systems to each other, to the cloud, and to teleoperation and monitoring systems
Own data collection pipelines that capture sensor, telemetry, and behavioral data from the robot and reliably upload it to cloud storage for model training
Build and maintain telemetry and observability systems - giving the team real-time visibility into robot health, system state, and field performance
Develop internal tooling that accelerates robot software development: deployment pipelines, logging infrastructure, debugging tools, and field testing utilities
Contribute to perception and control integration - helping connect sensor pipelines, onboard models, and control systems into a cohesive, reliable stack
Support bring-up and field testing of new hardware revisions, debugging issues across the full onboard software stack
Collaborate closely with ML, perception, and control engineers to ensure onboard systems meet the data quality and reliability requirements of model training and deployment
What We're Looking For
3+ years of experience in robotics software engineering, embedded systems, or a closely related field
Strong software engineering fundamentals in C++, Python, or Rust
Experience with networking, IPC, and communication protocols for hardware-software systems (e.g., gRPC, DDS, MQTT, WebSockets)
Familiarity with cloud storage and data upload pipelines (e.g., AWS, GCP, S3, GCS)
Experience with ROS/ROS2 or similar robotics middleware in production or research contexts
Ability to debug across the full stack - from driver-level issues to application behavior on live hardware
Comfort working directly with physical hardware in fast-moving, ambiguous environments
Nice to Have (But Not Required)
Experience building telemetry and observability systems for embedded or edge platforms
Familiarity with perception pipelines or control systems and how they interact with the broader robot stack
Background in streaming systems or low-latency data transport for real-time robot operation
Experience with over-the-air (OTA) software updates and deployment infrastructure for robot fleets
Exposure to learned perception or control models and their integration into real-time robot stacks
Prior work on early-stage hardware programs (prototype or pre-production robots)
Why This Role
Your work is the connective tissue of the robot - the networking, data, and tooling infrastructure you build directly determines how fast the team can develop, debug, and improve our humanoids in the field
Work across the full onboard stack alongside perception, control, and ML engineers on a platform that is pushing the frontier of what humanoid robots can do
High ownership in a small, fast-moving team where your contributions shape the development velocity and reliability of the next generation of humanoid robots
