---
title: 'Software Engineer, Rhoda Platform at Rhoda AI'
canonical: 'https://feeny.ai/job/software-engineer-rhoda-platform-rhoda-ai-mountain-view-118z5qm9f5q0'
type: 'job'
last_seen: '2026-10-21'
---

# Software Engineer, Rhoda Platform at Rhoda AI

- **Company:** Rhoda AI
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-10-21
- **Apply:** https://jobs.ashbyhq.com/rhoda-ai/36a82229-5cab-48a7-99b6-ec9007c5b460

## 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 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

## 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

- [Software Engineer Intern, Rhoda Platform](https://feeny.ai/job/software-engineer-intern-rhoda-platform-rhoda-ai-mountain-view-3s3s0rkqmbkw) — Mountain View, CA
- [Software Engineer Intern, Inference](https://feeny.ai/job/software-engineer-intern-inference-rhoda-ai-mountain-view-0yz1xmmcxnsq) — Mountain View, CA
- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-rhoda-ai-mountain-view-1vmebb3sybwj) — Mountain View, CA
- [Solution Engineer](https://feeny.ai/job/solution-engineer-rhoda-ai-mountain-view-1fkt9bqkr8g7) — Mountain View, CA
- [Head of Talent](https://feeny.ai/job/head-of-talent-rhoda-ai-mountain-view-pt49x7f3hg0b) — Mountain View, CA
- [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
- [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