Robotics Platform Software Engineer: Onboard & Cloud

Rhoda; Mountain View (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Rhoda AI in Mountain View is seeking a software engineer to help build and maintain the broad onboard stack for our generalist robots. You will work across networking, data pipelines, telemetry, and tooling to keep robots running in the field.

The role emphasizes ownership in a fast-moving team, collaboration with ML, perception, and control engineers, and hands-on work with hardware in ambitious hardware–software integration projects.

Qualifications

• 2+ years of experience in robotics software engineering, embedded systems, cloud software, or related field.
• Solid foundation in software engineering principles and debugging across stacks.

Responsibilities

• Build and maintain the networking and communication infrastructure between onboard robot systems, the cloud, and teleoperation/monitoring systems.
• Own data collection pipelines that capture sensor, telemetry, and behavioral data and upload to cloud storage for model training.
• Develop telemetry and observability systems for real-time visibility into robot health and field performance.
• Create internal tooling to accelerate robot software development: deployment pipelines, logging, debugging tools, and field testing utilities.
• Productize the Rhoda Platform to enable efficient integration with vendor robotics hardware.
• Support bring-up and field testing of new hardware revisions across the full onboard stack.
• Collaborate with ML, perception, and control engineers to meet data quality and reliability requirements for model training and deployment.

Skills

C++

Python

Rust

Networking protocols

Education

CS/ECE/Robotics

Tools

ROS/ROS2

Job description

Rhoda AI in Mountain View is seeking a software engineer to help build and maintain the broad onboard stack for our generalist robots. You will work across networking, data pipelines, telemetry, and tooling to keep robots running in the field.

The role emphasizes ownership in a fast-moving team, collaboration with ML, perception, and control engineers, and hands-on work with hardware in ambitious hardware–software integration projects.