Deploy and integrate Hivemind autonomy software with maritime platforms worldwide. Support customer deployments, software development, on-water testing, training, demonstrations, debugging, documentation, and maritime system integrations involving controls, sensors, navigation, and communications. Collaborate with customers, sales, and product engineering teams to resolve integration issues and improve products.
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.
Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments. This role focuses on maritime autonomy, helping customers integrate and deploy Hivemind on maritime platforms. It involves frequent travel, including international and multi-week engagements, to work directly alongside customers on-site.
This is primarily a Senior-level role, and we’re typically looking for candidates with several years of relevant industry experience. We will also consider exceptional mid-level engineers who demonstrate strong technical fundamentals, a hands-on mindset, and a track record of taking initiative in dynamic, customer-driven environments.
You will work closely with customers to understand their requirements, provide technical expertise during deployment, and ensure successful integration of our AI and autonomy products. You’ll also collaborate internally with engineering teams, with opportunities to grow into technical leadership over time.
You should apply if:
- You’re excited about a role involving travel and enjoy being on-site with customers, including international and multi-week engagements.
- You’re a strong technical contributor who takes initiative and figures things out.
- You enjoy problem-solving, building relationships, and working at the intersection of engineering and real-world deployment.
- You’re passionate about autonomy, robotics, and applying these technologies to maritime operations.
You should not apply if:
- You prefer minimal travel or want to work primarily from a single location.
- You want to do 100% R&D and don’t enjoy customer interactions.
- You’ve never programmed in C, C++, or Rust.
What you'll do:
- Deploy with customers on-site globally (up to 50% travel) to support software integration, development, and on-water testing.
- Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.
- Provide technical support and training to customers.
- Develop AI and autonomy applications using the Shield AI enterprise software development kit, with a focus on maritime missions and platforms.
- Assist the sales team in pre-sales activities, including demonstrations, conferences, and immersions.
- Assist in post-sales deployment and integration of Shield AI enterprise software products with maritime platform controls, sensors, navigation systems, and communications.
- Develop and maintain technical documentation and training materials.
- Help customers debug software and API integration issues.
- Collaborate with the product engineering team to address customer feedback and improve products.
Required qualifications:
- Bachelor’s degree in engineering, computer science, or a related field.
- 5+ years of industry experience.
- 2+ years of experience in an integration or applications engineering role.
- 2+ years of experience working in a startup environment.
- Strong technical background in software engineering.
- Strong proficiency in modern C++.
- Intermediate proficiency in Python.
- Experience developing or integrating software for maritime platforms, marine robotics, or autonomous vessel systems.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
Preferred qualifications:
- Experience in the defense maritime or marine robotics industry.
- Familiarity with maritime navigation, vessel control, collision avoidance, or maritime sensors such as radar, AIS, and sonar.
- Experience supporting autonomous vessel demonstrations or sea trials.
- Experience building and running a small enterprise software applications or solutions engineering team.
- Advanced technical degree, especially in robotics or autonomy-related fields.
#LI-KC3
#LC
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
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.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Designs and produces proposal documents, presentations, graphics, infographics, and bid materials. Translates complex technical information into clear visual stories, maintains templates and design systems, coordinates document production and quality checks, tracks revisions and submission requirements, and supports final digital and print delivery. Collaborates with proposal managers, business development teams, and technical experts while improving production workflows and supporting customer-facing materials.
Top Skills:
Adobe AcrobatAdobe Creative CloudAdobe IllustratorAdobe IndesignAdobe PhotoshopPdf
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads Shield AI’s global partner program across reseller and OEM relationships. Responsibilities include recruiting and onboarding strategic partners, designing program structures and incentives, developing two-way channels, enabling partners, governing relationships, and tracking pipeline, revenue, margins, productivity, and incentive ROI. The role systematizes partner operations across regions and requires approximately 40% international travel.
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
