---
title: 'Technical Writer at Skild AI'
canonical: 'https://feeny.ai/job/technical-writer-skild-ai-san-mateo-ysvzgysbp6gv'
type: 'job'
last_seen: '2026-09-16'
---

# Technical Writer at Skild AI

- **Company:** Skild AI
- **Location:** San Mateo, CA
- **Compensation:** $100k–$300k
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-16
- **Apply:** https://job-boards.greenhouse.io/skildai-careers/jobs/5368160008

## 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 seeking a highly skilled Technical Writer to translate complex robotic intelligence into clear, accurate, and user-friendly documentation. In this role, you will be the connective tissue between our researchers, engineers, and the customers, operators, and developers who deploy our systems in the real world. You will own documentation across the full stack—from software architecture, APIs, and SDKs to deployment guides, operational procedures, and troubleshooting runbooks for robotic fleets in the field. Because our robots operate in diverse and challenging customer environments, your documentation must serve audiences ranging from ML researchers to field operators with no engineering background.

## Responsibilities

- Develop and maintain comprehensive documentation for robotic intelligence software, including architecture overviews, APIs, SDKs, and codebases, serving both internal engineering teams and external developers and partners
- Author clear deployment, configuration, maintenance, and troubleshooting documentation that enables operators and customers to run and manage fleets of robots in production environments
- Collaborate closely with robotics researchers, ML engineers, software architects, and infrastructure teams to gather information, understand complex technical concepts, and accurately reflect product functionality and design
- Own the documentation lifecycle end to end—from planning and drafting through review, publication, and ongoing updates—ensuring materials stay current, accurate, and easily accessible as products evolve rapidly
- Establish and champion documentation best practices, style guidelines, and tooling; continually improve processes and content quality, and conduct peer reviews of documentation produced across teams
- Maintain consistency in terminology, style, and tone across all documentation, tailoring content for audiences ranging from expert developers to non-technical field operators

## Preferred Qualifications

- Bachelor's degree in Technical Communication, English, Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience as a technical writer producing documentation in a fast-paced, highly technical environment
- Demonstrated ability to explain complex technical concepts clearly and accurately to diverse audiences
- Familiarity with software development concepts and comfort reading code (e.g., Python, C++, or similar)
- Proven track record documenting complex software systems, including APIs, SDKs, and software architecture, and shipping high-quality documentation at scale
- Experience creating deployment guides, operational procedures, maintenance manuals, or assembly documentation for hardware or robotic systems
- Familiarity with modern documentation toolchains and workflows (e.g., Markdown, Git-based docs, static site generators) and version control best practices
- Prior experience in robotics, AI, machine learning, or a related high-tech industry
- Ability to understand the full flow of data and control—from a robot's sensors and models to an operator's screen—and reflect that understanding in documentation
- Experience with tools such as Jira, Confluence, and Google Workspace for tracking, organizing, and publishing documentation

Base Salary Range $100,000—$300,000 USD

## 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

- [Manufacturing Engineering Manager](https://feeny.ai/job/manufacturing-engineering-manager-skild-ai-san-mateo-wxgaaez2np0z) — San Mateo, CA
- [Senior Electrical Engineer](https://feeny.ai/job/senior-electrical-engineer-skild-ai-san-mateo-mnt6snaah96f) — San Mateo, CA
- [Senior Robot Animator](https://feeny.ai/job/senior-robot-animator-skild-ai-san-mateo-n3tjht5ar94e) — San Mateo, CA
- [Senior Accountant](https://feeny.ai/job/senior-accountant-skild-ai-san-mateo-jret8etgnyp8) — San Mateo, CA
- [Technical Recruiter, India](https://feeny.ai/job/technical-recruiter-india-skild-ai-bengaluru-dj6aq3p42ts5) — Bengaluru, India
- [Global Supply Manager (GSM) – Robotics Hardware](https://feeny.ai/job/global-supply-manager-gsm-robotics-hardware-skild-ai-san-mateo-69h93f64c3fm) — San Mateo, CA
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