Become an expert user of Shield AI’s Hivemind Enterprise autonomy platform and create clear technical documentation, tutorials, diagrams, and workflow guides. Collaborate with developers and Customer Engagement teams to document product functionality, select documentation tools, and connect autogenerated API documentation with user guides. The role requires robotics and autonomy knowledge, C++ proficiency, strong technical writing, Linux experience, and effective cross-functional communication.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
The Hivemind Division of Shield AI seeks a highly skilled and detail-oriented Autonomy Engineer with Technical Writing Skills to join our team. The ideal candidate will have a background in software engineering and robotics and be able to become a superuser of our Hivemind Enterprise product: a software product that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms. This role requires you to be able to work cross-functionally with developers across engineering teams and learn to use the Hivemind SDK product, then draft your knowledge into well-written technical documentation and clearly communicated tutorials capable of being followed by customers with wide differences in skills and level of experience.
What you'll do:
- Become an expert user of the Hivemind Enterprise product.
- Contribute to the selection of documentation creation platforms and tools.
- Work with developers and our Customer Engagement team to generate technical writing to describe product functionalities.
- Generate diagrams, flow charts, and other visual aids to describe supported workflows.
- Devise a strategy for connecting auto-generated API documentation with hand-written user guides.
Required qualifications:
- Background in robotics and autonomy.
- Coding proficiency with C++.
- Highly proficient at technical writing (academic papers, technical tutorials, software product documentation, etc.).
- Strong understanding of what excellence in software product documentation looks like.
- Comfortable working in a Linux environment.
- Fast thinker, fast doer, able to generate results rapidly with minimal input in order to unblock iteration.
- Excellent communicator.
Preferred qualifications:
- Familiar with software engineering practices with regards to software versioning, packaging, deployment.
- Experience within the aviation and/or aerospace industry.
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Provides legal leadership across product counseling, technology transactions, AI governance, privacy, marketing, open source compliance, public-company readiness, employment matters, litigation, M&A, and corporate projects. Advises executives and cross-functional teams on AI, software, data, dual-use technology, government contracting, IP, and regulatory requirements. Builds scalable legal processes, policies, playbooks, compliance programs, and self-service guidance while managing outside counsel and mentoring legal professionals.
Top Skills:
AgplAi/MlApacheAutonomy SoftwareCcpa/CpraCmmcDfarsEu Ai ActFedrampGdprGplIso 27001Itar/EarLgplMitNist Ai Risk Management FrameworkOpen Source SoftwareSaaSSbomSdkSoftware Composition AnalysisSox It General ControlsUk Gdpr
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Owns military and SkillBridge recruiting programs from intake through conversion. Responsibilities include managing eligibility, matching fellows to teams, coordinating compliant onboarding with HR, Legal, and Security, converting fellows to full-time employees, translating military qualifications into civilian role fit, building veteran talent partnerships, representing the company at military hiring events, and tracking recruiting pipeline and conversion metrics.
Top Skills:
Applicant Tracking System (Ats)EarItar
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Build and scale the global treasury function, overseeing cash positioning, liquidity planning, banking relationships, cash forecasting, working capital strategies, FX exposure, hedging support, debt covenant compliance, intercompany funding, and treasury governance. Partner with FP&A, Accounting, Legal, Tax, and other teams to support financial decision-making and global growth.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
