Job description

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Software Engineer to help build and maintain the broad software foundation that keeps our 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 - Productize the Rhoda Platform to enable efficient integration with vendor robotic hardware platforms - 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 - For experienced hires: 2+ years of experience in robotics software engineering, embedded systems, cloud software, or a closely related field; For new graduates: solid educational background in Computer Science, Electrical Engineering, Robotics, or related fields - Passion about a fast-moving & collaborate working environment - 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 to failures in a distributed system, on live hardware - Excellent engineering principles and high standard on work deliverables - 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, monitoring, data, and tooling infrastructure you build directly determines how fast the team can develop, debug, deploy and improve our robots 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 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 robots

Requirements

Must-haves

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
Productize the Rhoda Platform to enable efficient integration with vendor robotic hardware platforms
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
Passion about a fast-moving & collaborate working environment
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 to failures in a distributed system, on live hardware
Excellent engineering principles and high standard on work deliverables
Comfort working directly with physical hardware in fast-moving, ambiguous environments
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
Work across the full onboard stack alongside perception, control, and ML engineers on a platform that is pushing the frontier of what robots can do

Nice-to-haves

Nice to Have (But Not Required)

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Platform: ashby
Effort: quick

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