---
title: 'Software QA Engineer at Rhoda AI'
canonical: 'https://feeny.ai/job/software-qa-engineer-rhoda-ai-mountain-view-cqw0tyxmjaxa'
type: 'job'
last_seen: '2026-11-11'
---

# Software QA Engineer at Rhoda AI

- **Company:** Rhoda AI
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-11-11
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.ashbyhq.com/rhoda-ai/20cdd4cc-435a-4ebc-9b4a-2e2d77d8f87b/application

**Skills:** Python, C++, Software Engineering Best Practices, Design Patterns, Test Infrastructure Design, CI/CD Systems, Debugging, Root-cause Analysis, Software Testing Methodologies, Linux, Docker, Bazel, Perception Systems, EtherCAT, Modbus, gRPC, TCP/IP, DNS, Firewalls, Embedded IoT Security

> Design and build automated test infrastructure for a humanoid robot software stack, ensuring reliability and regression-free releases. The role involves architecting CI/CD pipelines, defining quality metrics, and investigating production failures to support physical robotics development.

## 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

Rhoda AI builds general-purpose robots end to end: the AI models, the robot software, and the hardware. As a Software QA Engineer, you decide whether our software is ready to be used by our clients. You will work closely with our programs, including how they ship robot software, cloud services, or AI models, and ensure that all program requirements are verifiable. You will create test plans, test cases, acceptance criteria, test execution, and report all the way back to requirements to ensure a fully verified product

## What you'll do

- Own the test plan for our program's software: what to test, how, and what "ready to ship" means.
- Run release qualification and give the sign-off that a software release can go to production.
- Test new features and regressions in the environments the software runs in (robots, simulation, cloud, or model serving), including exploratory testing.
- Find, reproduce, and isolate software defects, and drive their root cause to a fix with the owning team.
- Write the automated tests for your program's software on the frameworks Engineering Productivity builds, and keep them meaningful as the product changes.
- Build the test tools you need: scripts to drive the system under test, collect and analyze logs, and report results.
- Track quality for your program: escaped defects, regression trends, and release readiness.

## What we're looking for

- 3+ years of industry experience in software QA or test engineering on complex products: cloud services, AI or ML systems, robotics, automotive, medical devices, or similar.
- Experience owning test plans and release sign-off, including both writing and executing test cases .
- Solid debugging: you can read logs, use Linux and the command line, and narrow a failure down to code, configuration, data, or hardware.
- Strong programming skills in Python; C++. You write test code and tools to the same review standard as product code.
- Clear written communication: bug reports and release reports, and root cause analysis.

Strong plus

- Experience testing robotics software, AI or ML systems, or autonomy and perception systems.
- Experience with Hardware-in-the-loop (HIL) or simulation-based testing, as well as testing non-deterministic systems
- Experience in a regulated environment (medical, automotive, aerospace) with requirements traceability.

Levels

- Mid (3–5 years): owns the test plan and release sign-off for a program or a feature area.
- Senior (5+ years): owns quality for a whole program, defines its test strategy, and mentors other QA engineers.

## 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

- [Optical Sensing Intern - Robot Perception](https://feeny.ai/job/optical-sensing-intern-robot-perception-rhoda-ai-mountain-view-r1qxt3g84rrg) — Mountain View, CA
- [Senior System Safety Engineer - Perception](https://feeny.ai/job/senior-system-safety-engineer-perception-rhoda-ai-mountain-view-4wzr6tw3r49a) — Mountain View, CA
- [Senior/Staff TPM - Hardware](https://feeny.ai/job/senior-staff-tpm-hardware-rhoda-ai-mountain-view-1gs3k8kf579p) — Mountain View, CA
- [Senior TPM - Software & Controls](https://feeny.ai/job/senior-tpm-software-controls-rhoda-ai-mountain-view-y3vxhv09ttb9) — Mountain View, CA
- [Senior Inference Optimization ML Engineer](https://feeny.ai/job/senior-inference-optimization-ml-engineer-rhoda-ai-mountain-view-s9kmbmmt2gmk) — Mountain View, CA
- [Senior / Staff Technical Program Manager, AI Research](https://feeny.ai/job/senior-staff-technical-program-manager-ai-research-rhoda-ai-mountain-view-vwmnc9zskvbs) — Mountain View, CA
- [Marketing Communications Senior Associate](https://feeny.ai/job/marketing-communications-senior-associate-rhoda-ai-mountain-view-vmkhppnjbaa4) — Mountain View, CA
- [Software Engineer, Rhoda Platform](https://feeny.ai/job/software-engineer-rhoda-platform-rhoda-ai-mountain-view-118z5qm9f5q0) — Mountain View, CA
- [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