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.
About the RoleAs a Robot Software Engineer Intern, you'll work on the software foundation that keeps our robots running. You'll own real projects on the software platform stack: ranging from on-robot software, networking and communication infrastructure, data collection pipelines, telemetry, teleoperation, inference infra, developer tooling etc., and see your impact run on physical robots by the end of your internship. You'll sit with the engineers who build our robots and ship code that the team depends on every day.
What You'll DoContribute to the networking and communication infrastructure connecting onboard robot systems to each other, to the cloud, and to teleoperation and monitoring systems
Help build data collection pipelines that capture sensor, telemetry, and behavioral data from the robot and upload it reliably to cloud storage for model training
Work on telemetry and observability systems that give the team real-time visibility into robot health and field performance
Build internal tooling that accelerates robot software development: deployment pipelines, logging, debugging tools, and field testing utilities
Support bring-up and field testing on live hardware, debugging issues across the onboard software stack
Collaborate with ML, perception, and control engineers to keep onboard systems reliable and training data high quality
Automate internal workflows to improve execution efficiency of the Rhoda teams
Currently pursuing an undergraduate or graduate degree in Computer Science, Robotics, Electrical Engineering, or a related field — or a recent graduate
Solid computer science foundation: data structures, algorithms, operating systems, and networking
Genuine passion for working on robots — coursework, research, personal projects, competition teams, or internships all count
Strong programming skills in C++, Python, Golang, or Rust
Curiosity and comfort working with physical hardware in a fast-moving, ambiguous environment
Ability to debug across layers, from driver-level issues up to application behavior
Open to learn new things and grow from knowing nothing to an expert on arbitrary technical topics
Experience with bringing up & manipulating robots
Familiarity with networking, IPC, or communication protocols (e.g. gRPC, DDS, QUIC, WebSockets)
Exposure to cloud storage and data pipelines (AWS, GCP, S3, GCS)
Experience with perception pipelines, control systems, or learned models running on real-time robot stacks
Prior work on prototype or pre-production hardware
Your work is the connective tissue of the robot — the networking, data, and tooling infrastructure that determines how fast the team can develop and improve our humanoids in the field
Work across the full onboard stack alongside perception, control, and ML engineers & researchers on a platform pushing the frontier of humanoid robotics
Real ownership on a small team, with your code running on real robots — not a side project on the shelf
Skills Required
- Currently pursuing an undergraduate or graduate degree in Computer Science, Robotics, Electrical Engineering, or a related field, or recently graduated
- Solid foundation in data structures, algorithms, operating systems, and networking
- Passion for working on robots through coursework, research, personal projects, competition teams, or internships
- Strong programming skills in C++, Python, Golang, or Rust
- Comfort working with physical hardware in a fast-moving, ambiguous environment
- Ability to debug across software layers, from driver-level issues to application behavior
- Ability and willingness to learn new technical topics quickly
- Experience bringing up and manipulating robots
- Familiarity with networking, IPC, or communication protocols such as gRPC, DDS, QUIC, or WebSockets
- Exposure to cloud storage and data pipelines using AWS, GCP, S3, or GCS
- Experience with perception pipelines, control systems, or learned models on real-time robot stacks
- Prior work on prototype or pre-production hardware
What We Do
Rhoda AI builds robot foundation models that learn from internet-scale video to enable manipulation-capable robots to generalize in real-world industrial environments. Using a Direct Video Action architecture and its FutureVision intelligence layer, Rhoda focuses on turnkey deployments in manufacturing, logistics, and e-commerce—aiming to move robots out of controlled labs and into reliable, adaptive production settings.


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