Software Engineer, Rhoda Platform

Rhoda AI

Mountain View, California, United StatesunknownPosted Oct 21, 2026

About the role

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

Responsibilities

  • Build and maintain networking and communication infrastructure for onboard robot systems.
  • Own data collection pipelines for sensor, telemetry, and behavioral data.
  • Develop telemetry, observability, deployment, logging, debugging, and field-testing tools.
  • Productize the Rhoda Platform for integration with vendor robotic hardware.
  • Support hardware bring-up and field testing, debugging issues across the onboard software stack.
  • Collaborate with ML, perception, and control engineers to meet model training and deployment requirements.

Qualifications

  • Experienced hires: 2+ years in robotics software engineering, embedded systems, cloud software, or a related field; new graduates may qualify with a solid relevant educational background.
  • Strong software engineering fundamentals in C++, Python, or Rust.
  • Experience with networking, IPC, and hardware-software communication protocols.
  • Familiarity with cloud storage and data upload pipelines.
  • Experience with ROS/ROS2 or similar robotics middleware.
  • Ability to debug across the software stack on live hardware.
  • Comfort working directly with physical hardware in fast-moving environments.

Skills mentioned

C++PythonDistributed SystemsgRPCAWSData PipelinesEmbedded SystemsDebuggingTCP/IPOpenTelemetry

About Rhoda AI

Building at the frontier of embodied intelligence. We’re currently in stealth and working with select partners as we prepare for public launch. If you’re excited about hard problems, first-principles thinking, and building category-defining systems, we’d love to hear from you.

Technology51-200 employeesPalo Alto

H-1B sponsorship history

Historical employer filing data was found for Rhoda AI. The employer record includes 1 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.