Job Description

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.

Job Description

The Hivemind Pilot group in Hivemind Enterprise org builds algorithms and production platform-agnostic AI/autonomy software that enable teams of edge systems to perceive, reason and act toward achieving mission objectives in complex and dynamic mission environments. Our work sits at the intersection of artificial intelligence, robotics, and real-time autonomous systems.

As an Autonomy Integration Lead, you will be responsible for bringing together various autonomy components into integrated reference implementations that enable targeted concept of operations, and taking these through software-in-loop and hardware-in-loop verification. You will draw on your breadth in autonomy to ensure harmonious execution of all autonomy components for effective mission enablement.

What you'll do

Projects you might work on

Preferred qualifications

• Bachelor's degree in Computer Science, Robotics, Artificial Intelligence, or equivalent practical experience.
• Demonstrated experience through professional work, internships, research, or substantial projects building, testing, and debugging nontrivial C++ software for perception, planning, robotics, autonomous systems, or a closely related algorithmic domain.
• Experience writing and debugging modern C++, including safe use of common concurrency patterns and the ability to diagnose issues such as data races, deadlocks, and lifetime errors.
• Working experience with Python for prototyping, analysis, automation, or testing.
• Strong software engineering fundamentals, including algorithms, data structures, testing, debugging, and maintainable software design.
• Practical experience developing and debugging software on Linux.
• Practical experience working with build / dependency management systems such as Conan or Nix.

Preferred qualifications

Master’s degree in AI. Computer Science, Robotics or similar.

Breadth of experience across the autonomy stack (Perception, Localization and Planning).

Experience with multi-agent autonomy

Experience applying VLMs or VLAs to planning, reasoning, tool use, or autonomous decision-making.

Experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems.

Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling, or distributed systems.

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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.