---
title: 'Deployment & Support Engineer at Skild AI'
canonical: 'https://feeny.ai/job/deployment-support-engineer-skild-ai-san-mateo-a3pbvy55a3qz'
type: 'job'
last_seen: '2026-10-14'
---

# Deployment & Support Engineer at Skild AI

- **Company:** Skild AI
- **Location:** San Mateo, CA
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-10-14
- **Apply:** https://job-boards.greenhouse.io/skildai-careers/jobs/5433787008

## 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

The Deployment & Support Engineer will be responsible for the successful installation, commissioning, and deployment of robotic systems at customer sites. This role ensures robots are installed, configured, tested, and operating according to technical and customer requirements.

When not actively performing deployments, the Deployment & Support Engineer provides customer and technical support for deployed robotic systems. This includes troubleshooting system issues, assisting customers with operational questions, coordinating issue resolution, and working closely with internal engineering and technical teams to maintain system performance and customer satisfaction.

The ideal candidate is technically capable, customer-focused, adaptable, and comfortable working in both field and remote environments.

## Responsibilities

- Robot Deployment & Installation

- Lead and execute new robotic system deployments at customer sites.
- Prepare for deployments by reviewing site requirements, technical documentation, and project plans.
- Install, configure, and commission robotic systems and associated equipment.
- Perform system testing, validation, and troubleshooting to ensure successful operation.
- Coordinate with customers and internal teams to ensure deployment readiness.
- Train customer personnel on basic system operation, maintenance, and troubleshooting.
- Document deployment activities, system configurations, and outstanding issues.
- Ensure deployments are completed safely, efficiently, and according to established procedures.
- Identify and communicate technical risks, project delays, and deployment challenges.

Customer & Technical Support

- Provide timely customer support for deployed robotic systems remotely
- Troubleshoot robot hardware, software, networking, and system integration issues.
- Assist customers with system operation, configuration, and technical questions.
- Diagnose issues, identify root causes, and implement or coordinate corrective actions.
- Monitor and follow up on customer-reported issues through resolution.
- Escalate complex or unresolved technical issues to the appropriate engineering or development teams.
- Support system upgrades, maintenance activities, and technical improvements.
- Maintain accurate records of support cases, troubleshooting steps, and resolutions.
- Help develop and maintain troubleshooting guides, support documentation, and standard operating procedures.

Cross-Functional Collaboration

- Work closely with engineering, product, and operations teams to resolve technical issues.
- Provide feedback from customer sites to improve robot performance, reliability, and usability.
- Assist with testing new features, software releases, and hardware improvements.
- Contribute to the development of deployment and support processes.
- Share technical knowledge and best practices with team members.
- Support other deployment engineers and technical staff as needed.

Required Qualifications

- Experience in robotics, automation, mechatronics, electrical engineering, mechanical engineering, computer engineering, or a related technical field.
- Hands-on experience with the installation, troubleshooting, or maintenance of complex technical systems.
- Strong problem-solving and analytical skills.
- Ability to read and interpret technical documentation, wiring diagrams, and system specifications.
- Familiarity with computers, networking, software configuration, and technical troubleshooting.
- Strong communication and customer service skills.
- Ability to work independently and manage competing priorities.
- Willingness to travel to customer sites as required.
- Ability to work in a hands-on environment and perform physical tasks associated with equipment installation.

## Preferred Qualifications

- Experience deploying or supporting robotic systems in customer or production environments.
- Experience with industrial automation, autonomous mobile robots, or related technologies.
- Familiarity with Linux, networking, APIs, or software debugging.
- Experience with system commissioning, validation, or integration.
- Experience providing technical support to customers or end users.
- Experience creating technical documentation and troubleshooting procedures.
- Ability to work with cross-functional engineering and product teams.

Core Competencies

- Technical troubleshooting: Ability to identify and resolve complex issues.
- Customer focus: Provides professional, responsive, and effective support.
- Adaptability: Transitions effectively between deployments, support cases, and other priorities.
- Communication: Clearly communicates information to customers and internal teams.
- Ownership: Takes responsibility for issues from initial diagnosis through resolution.
- Teamwork: Collaborates effectively across engineering, operations, and customer-facing teams.
- Attention to detail: Ensures accurate installation, configuration, testing, and documentation.
- Continuous improvement: Identifies opportunities to improve deployment and support processes.

Working Conditions

- Combination of customer-site deployment work, office work, and remote technical support.
- Travel to customer locations as required.
- May require occasional extended hours, weekends, or schedule flexibility to support deployments and customer needs.
- Work may involve standing, lifting, carrying equipment, and working around robotic and industrial systems, subject to applicable safety requirements.

Success in This Role

Success in the Deployment & Support Engineer role is demonstrated through:

- Successful, timely, and high-quality robot deployments.
- Reliable and effective customer technical support.
- Efficient troubleshooting and resolution of system issues.
- Positive customer experiences and strong customer relationships.
- Accurate deployment and support documentation.
- Consistent adherence to safety, quality, and technical procedures.
- Contributions to improving deployment capacity, support processes, and team capabilities.

## 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)

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