---
title: 'Robotics Quality Assurance Engineer at Skild AI'
canonical: 'https://feeny.ai/job/robotics-quality-assurance-engineer-skild-ai-san-mateo-0qvv8cy0925w'
type: 'job'
last_seen: '2026-11-04'
---

# Robotics Quality Assurance Engineer at Skild AI

- **Company:** Skild AI
- **Location:** San Mateo, CA
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-11-04
- **Apply:** https://job-boards.greenhouse.io/skildai-careers/jobs/5463895008

## Job description

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are looking for a Robotics Quality Assurance Engineer to own test case management, new-feature testing, and regression testing across our full-stack robotics solutions. Partnering with Engineering, you will build and maintain automated regression across software modules, simulation, hardware-in-the-loop (HIL), and SW/HW interfaces, so that every new feature is verified against its requirements and every software update is validated from the component level up to the full robot before it reaches the fleet. This is a hands-on role working every day with some of the most advanced robots in the world, putting the Skild Brain through its paces on real hardware, in simulation, and on HIL rigs, and helping decide when new capabilities are ready for customers.

## Responsibilities

- Design, develop, and maintain full-stack regression coverage across software components, HIL, and SW/HW interfaces, including happy-path, fault-injection, and recovery testing.
- Review requirements and designs for each release, write test plans and test cases for new features, and execute functional, integration, and on-robot testing before they ship, then promote validated tests into the regression suite.
- Build automated end-to-end tests, plus logged-data replay and scenario suites that catch performance drift across stack updates before release.
- Choose and apply the right type of robot simulation for each level of test automation, balancing speed, fidelity, and accuracy.
- Own test cases and their traceability to requirements, define pass/fail criteria, and triage failures with engineering teams.
- Integrate regression into CI so every release is validated at both the software and full-robot level ahead of fleet rollout.
- Partner with engineering teams to expand HIL coverage.
- Work with deployment teams to reproduce field-reported regressions and turn them into permanent regression tests.

Required Qualifications

- BS or MS in Computer Science, Robotics, Electrical/Computer Engineering, or a related field.
- 5+ years of experience in software testing, robotics, or test automation; senior-level experience preferred.
- Strong programming skills in Python and Linux shell scripting, with hands-on experience building automated test frameworks and CI pipelines.
- Strong experience with robot simulation.
- Familiarity with ROS/ROS 2, and with testing web applications, IoT devices, or mobile applications.
- Hands-on experience with fault injection and logged-data replay.
- Rigor in requirements traceability and defect management.

## Preferred Qualifications

- Experience testing autonomous mobile robots, manipulators, or other fleet-deployed robotic systems.
- Hands-on experience with simulators such as Gazebo, Isaac Sim, or MuJoCo, and with HIL rigs.
- Experience with test management tools (e.g., TestRail, Qase, Testomat.io) and CI systems (GitHub Actions preferred).
- Experience triaging field issues from logs, bag files, or telemetry.
- Programming experience in Go, C++, or TypeScript/JavaScript.

Success in This Role

You’ll know you’re succeeding when:

- Regressions are caught in CI or simulation, not in the field.
- Every release ships with clear, traceable pass/fail evidence at both the software and full-robot level.
- Field-reported issues are reproduced quickly and turned into permanent regression tests.

## About Skild AI

## Company Overview
- **One-liner**: Skild AI builds a general-purpose robotic intelligence (the "Skild Brain") that enables any robot to autonomously perceive, act, and interact across diverse physical environments.
- **Entity Type**: Private (venture-backed; latest round Series C closed January 2026)
- **Headquarters**: Pittsburgh, Pennsylvania, United States (also offices in San Mateo, San Francisco, and Bengaluru)
- **Founded**: 2023
- **Founders**: Not publicly available in the reviewed sources

## Core Business
- **Primary industry/industries**: Robotics, Artificial Intelligence, Physical Automation
- **Target customers**: B2B enterprise – manufacturing, construction, security/inspection, logistics, and other sectors requiring physical task automation
- **Mission or purpose statement**: "Bringing AI into the physical world" by building an omni-bodied brain that can control any robot for any task, learned from scalable, data-driven machine learning

## Products & Services
- **Skild Brain**: The core AI foundation model that works across different robot types and tasks, enabling low‑level skills (grasping, handover, navigation) abstracted via API calls.
- **Mobile Manipulation Platform**: Robots powered by Skild Brain that can navigate, grasp, and manipulate objects in unstructured environments.
- **Security/Inspection Robot Platform**: Robots equipped with Skild Brain for autonomous inspection in hazardous areas, reducing the need for human manual patrols.
- **Autonomous Packing System**: High‑precision dexterous manipulation for repetitive packing tasks.
- **Simulation & Data Tools**: Physics simulation environments and annotation pipelines used to train and validate the model.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding raised – **$2.215B** (CB Insights) / **$2.21B** (PitchBook), including a **$1.4B Series C** in January 2026
- **Notable Investors/Partners**: Lightspeed, Felicis, Coatue, Bezos Expeditions, Sequoia Capital, and 39+ others (per CB Insights)
- **Growth Signals**:
  - Acquired Zebra Technologies’ robotics automation business (April 2026)
  - Rapid headcount growth: ~50 employees (PitchBook) with **51 open roles** listed on Greenhouse as of mid‑2026
  - Expanded footprint to multiple US cities and Bengaluru, India

## Competitive Advantages
- **Omni‑bodied AI**: A single foundation model works across diverse robot hardware and tasks, avoiding the need for task‑specific training.
- **Scalable data pipeline**: Learns from human videos and real‑world interactions, creating a long‑term data advantage.
- **End‑to‑end integration**: From simulation and data annotation to real‑world deployment, the company controls the full stack.
- **Backing by top‑tier VCs and Bezos Expeditions**, providing capital and strategic access for rapid scaling.

## Strategic Focus
- **Real‑world deployment**: Prioritizing tangible robot applications (packing, inspection, manipulation) to deliver immediate customer value.
- **Data moat**: Continuing to scale data acquisition through human‑video learning and proprietary simulation.
- **Cross‑industry expansion**: Moving from early‑stage deployments into construction, manufacturing, logistics, and security verticals.

## Why Work Here
- **Innovation‑driven culture**: Described as a team where “curiosity meets impact,” tackling the frontier of physical AI.
- **Diverse openings**: 50+ roles across engineering (CV/ML, manipulation, embedded, simulation, infrastructure), research, product, operations, and marketing.
- **Global presence**: Offices in Pittsburgh, San Mateo, San Francisco (US) and Bengaluru (India); some roles allow remote work, though many are location‑specific.
- **Engineering‑forward**: Emphasis on data‑driven machine learning, robotics, and large‑scale systems, with opportunities to work on the core AI model and deployment.
- **Perks**: Not detailed, but typical for venture‑backed robotics startups include competitive equity, modern hardware, and a mission‑oriented environment.

## Sources
1. [skild.ai](https://www.skild.ai/)
2. [Greenhouse Job Board](http://job-boards.greenhouse.io/skildai-careers)
3. [CB Insights](https://www.cbinsights.com/company/skild-ai)
4. [PitchBook](https://pitchbook.com/profiles/company/608340-52)

## Other roles at Skild AI

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- [Support Engineer](https://feeny.ai/job/support-engineer-skild-ai-san-mateo-w4dkrkmvrea1) — San Mateo, CA
- [Manufacturing Technician](https://feeny.ai/job/manufacturing-technician-skild-ai-san-mateo-cdpkwpc0mngx) — San Mateo, CA
- [Quality Control Technician](https://feeny.ai/job/quality-control-technician-skild-ai-san-mateo-z0rh6rchj01a) — San Mateo, CA
- [Electronic Technician – Wire Harness Fabrication](https://feeny.ai/job/electronic-technician-wire-harness-fabrication-skild-ai-san-mateo-ca7ctam6bv4d) — San Mateo, CA
- [Software Engineer, Robot Integration and Test](https://feeny.ai/job/software-engineer-robot-integration-and-test-skild-ai-san-mateo-mf18vjchq608) — San Mateo, CA
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