---
title: 'Robot Software Engineer Internship at Rhoda AI'
canonical: 'https://feeny.ai/job/robot-software-engineer-internship-rhoda-ai-mountain-view-3s3s0rkqmbkw'
type: 'job'
last_seen: '2026-10-14'
---

# Robot Software Engineer Internship at Rhoda AI

- **Company:** Rhoda AI
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/rhoda-ai/9a57c8ff-dd2b-4547-a46a-44658a699ba5

## 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.

## About the Role

As 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 Do

- Contribute 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

## What We're Looking For

- 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

## Nice to Have (But Not Required)

- 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

## Why This Role

- 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

## About Rhoda AI

## Company Overview
- **One-liner**: Rhoda AI builds robot foundation models that learn from internet-scale video to enable manipulation-capable robots to generalize in real-world industrial environments.
- **Entity Type**: Private (Seed + Series A; $680M total funding)
- **Headquarters**: Palo Alto, CA, United States
- **Founded**: 2024
- **Founders**: Jagdeep Singh (CEO), Eric Chan (Chief Scientist), Changan Chen (Chief Research Officer), Andrew Wooten, Gordon Wetzstein (Scientific Advisor) [rhoda.ai/team](https://www.rhoda.ai/team)

## Core Business
- **Primary industry**: Robotics, Artificial Intelligence, Hardware
- **Target customers**: B2B – industrial enterprises in automotive, manufacturing, logistics, and e-commerce
- **Mission/purpose**: “Building at the frontier of embodied intelligence” and “Designing intelligence for the real world” – deploying general-purpose robot foundation models that adapt to the variability of commercial and industrial environments. [rhoda.ai](https://www.rhoda.ai/) | [linkedin.com](https://www.linkedin.com/company/rhoda-ai)

## Products & Services
- **Rhoda Robot Platform (Hardware + Software)**: A turnkey robotic system with custom actuators (25kg rated, 40kg peak payload), safety-rated vision, wheel-base, and brakes in every actuator. The platform runs the **Direct Video Action** model, which pre-trains on over a million real-world videos and post-trains on task-specific robot data. Long-context windows enable single-shot learning from human demonstrations without retraining. [rhoda.ai](https://www.rhoda.ai/)
- **FutureVision Intelligence Layer**: A proprietary architecture that handles real-world industrial tasks autonomously by generalizing beyond conventional VLA pipelines. [rhoda.ai](https://www.rhoda.ai/)
- **Deployment Services**: End-to-end solutions for tasks such as returns processing, bearing decanting, container breakdown, and material transport in logistics and e-commerce facilities. [rhoda.ai](https://www.rhoda.ai/)

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding **$680M** – Seed round $67.4M (April 2024), Series A $162.6M (April 2025), and Series A $450M (March 2026) with 4 investors. [linkedin.com](https://www.linkedin.com/company/rhoda-ai)
- **Notable Investors/Partners**: Not individually named in available sources; partners include customers in automotive, manufacturing, logistics, and e-commerce. [rhoda.ai](https://www.rhoda.ai/)
- **Growth Signals**: Headcount growth of **+20% monthly** (LinkedIn reports 55 employees; Built In reports 73 employees – conflicting data). Talent sourced from companies like QuantumScape, Flexiv Robotics, Scale AI, Google, Meta, NVIDIA, and Stanford University. [linkedin.com](https://www.linkedin.com/company/rhoda-ai) | [builtin.com](https://builtin.com/company/rhoda-ai)

## Competitive Advantages
- **Direct Video Action architecture** with web-scale video pre-training gives a strong prior on motion, physics, and dynamics, enabling generalization beyond lab settings.
- **Custom high-performance actuators** (25kg rated, 40kg peak) with safety-rated brakes and vision – designed for 3+ years of continuous operation at rated payload.
- **Long-context in-context learning** allows the robot to perform tasks single-shot from human demonstrations without retraining.
- **Turnkey industrial deployments** that handle ambiguity and variability (e.g., debris, transparent bags, heavy boxes) – tasks customers initially believed could not be automated. [rhoda.ai](https://www.rhoda.ai/)

## Strategic Focus
- Scaling robot intelligence through a pre-training/post-training paradigm, moving from controlled labs to reliable production environments.
- Expanding commercial deployments across automotive, manufacturing, logistics, and e-commerce verticals.
- Pursuing a path to **physical AGI** by combining foundation models with custom hardware for real-world adaptability. [rhoda.ai](https://www.rhoda.ai/)

## Why Work Here
- **Culture**: “Building at the frontier of embodied intelligence” – emphasis on hard problems, first-principles thinking, and category-defining systems. [linkedin.com](https://www.linkedin.com/company/rhoda-ai)
- **Work policy**: Hybrid workspace (employees combine remote and on-site work), with offices in Mountain View and Palo Alto, CA. [builtin.com](https://builtin.com/company/rhoda-ai)
- **Engineering culture**: Strong research focus (Chief Research Officer, Chief Scientist, many research engineers/scientists). Recent job postings include Research Scientist, Robot Perception Engineer, Mechanical Engineer, Fullstack Engineer, and Product Manager. [builtin.com](https://builtin.com/company/rhoda-ai)
- **Notable perks**: Not explicitly listed, but the company is well-funded ($680M) and at an early stage (founded 2024), offering significant growth opportunity and impact.

## Sources
1. [rhoda.ai](https://www.rhoda.ai/) – Company website (product, technology, commercial applications)
2. [rhoda.ai/careers](https://www.rhoda.ai/careers) – Careers page
3. [rhoda.ai/team](https://www.rhoda.ai/team) – Leadership team and co-founders
4. [builtin.com](https://builtin.com/company/rhoda-ai) – Built In profile (employee count, offices, job listings, hybrid policy)
5. [linkedin.com](https://www.linkedin.com/company/rhoda-ai) – LinkedIn company page (funding, headcount, executive list, talent sources)

## Other roles at Rhoda AI

- [Staff Product Manager- Robot & Fleet Interfaces](https://feeny.ai/job/staff-product-manager-robot-fleet-interfaces-rhoda-ai-mountain-view-sw5va827cxvb) — Mountain View, CA
- [Associate Engineering Product Manager- Robot Data Systems](https://feeny.ai/job/associate-engineering-product-manager-robot-data-systems-rhoda-ai-mountain-view-p6pw133hymk0) — Mountain View, CA
- [Social Media & Content Lead- AI Research](https://feeny.ai/job/social-media-content-lead-ai-research-rhoda-ai-mountain-view-09kzs6nda5w7) — Mountain View, CA
- [Research Member of Technical Staff- Training Systems](https://feeny.ai/job/research-member-of-technical-staff-training-systems-rhoda-ai-mountain-view-n7d7bvemaev0) — Mountain View, CA
- [Field Robotics Deployment Lead](https://feeny.ai/job/field-robotics-deployment-lead-rhoda-ai-mountain-view-v91gfb5byq4a) — Mountain View, CA
- [Senior UX/UI Designer](https://feeny.ai/job/senior-ux-ui-designer-rhoda-ai-mountain-view-tb6zs4gkw722) — Mountain View, CA
- [Staff Thermal Systems Integration Engineer](https://feeny.ai/job/staff-thermal-systems-integration-engineer-rhoda-ai-mountain-view-h0adk89xs839) — Mountain View, CA
- [Robotics Test Engineer](https://feeny.ai/job/robotics-test-engineer-rhoda-ai-mountain-view-fawz7jcaj9pv) — Mountain View, CA
- [Senior Hardware Reliability Engineer](https://feeny.ai/job/senior-hardware-reliability-engineer-rhoda-ai-mountain-view-tb5a3r2wpf2a) — Mountain View, CA
- [Supply Chain Manager](https://feeny.ai/job/supply-chain-manager-rhoda-ai-mountain-view-at62gnb3hppz) — Mountain View, CA