---
title: 'Robot Software Engineer at Rhoda AI'
canonical: 'https://feeny.ai/job/robot-software-engineer-rhoda-ai-mountain-view-e8nzag997hpm'
type: 'job'
last_seen: '2026-09-09'
---

# Robot Software Engineer at Rhoda AI

- **Company:** Rhoda AI
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-05-23
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/rhoda-ai/02a6ffea-7d21-4412-a5f1-cc3425f1af05/application

**Skills:** ROS, Real-time systems, Embedded Linux, C, Python, Rust, Networking, IPC, System diagnostics, Debugging, Multi-sensor fusion, Calibration, Edge devices, Embedded compute platforms, Teleoperation systems, Remote robot control

> Develop and maintain onboard software, including control, monitoring, and power management systems, for humanoid robots. Integrate and calibrate sensors such as cameras, LiDAR, and IMUs to enable robust operation in real-world environments. Collaborate with research and product teams to deploy perception and control...

## 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 Robot Software Engineer to help build and maintain the broad software foundation that keeps our humanoid 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
- Contribute to perception and control integration — helping connect sensor pipelines, onboard models, and control systems into a cohesive, reliable stack
- 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

- 3+ years of experience in robotics software engineering, embedded systems, or a closely related field
- 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 on live hardware
- 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, data, and tooling infrastructure you build directly determines how fast the team can develop, debug, and improve our humanoids 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 humanoid 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 humanoid robots

## 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

- [Robotics Test Engineer](https://feeny.ai/job/robotics-test-engineer-rhoda-ai-mountain-view-fawz7jcaj9pv) — Mountain View, CA
- [Senior Data Project Manager](https://feeny.ai/job/senior-data-project-manager-rhoda-ai-mountain-view-3r8qd12vvp3g) — 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
- [Robot Pilot](https://feeny.ai/job/robot-pilot-rhoda-ai-munich-ae615mvnydam) — Munich, Germany
- [Senior Fleet Software Engineer](https://feeny.ai/job/senior-fleet-software-engineer-rhoda-ai-mountain-view-bbmg1fzakq3b) — Mountain View, CA
- [Fleet Response Engineer](https://feeny.ai/job/fleet-response-engineer-rhoda-ai-mountain-view-qk40e501tskz) — Mountain View, CA
- [Senior Electrical Engineer (Hands)](https://feeny.ai/job/senior-electrical-engineer-hands-rhoda-ai-mountain-view-63xfzs2xajpn) — Mountain View, CA
- [Research Member of Technical Staff- Robot Learning Systems & Reliability](https://feeny.ai/job/research-member-of-technical-staff-robot-learning-systems-reliability-rhoda-ai-azp0647ma7en) — Mountain View, CA
- [Strategic Finance Manager](https://feeny.ai/job/strategic-finance-manager-rhoda-ai-mountain-view-efncjc6jbpjr) — Mountain View, CA