Shield AI, Inc. logo

Staff Engineer, Software Embedded Applications (R5033)

Job Overview

Location

United States

Job Type

Full-time

Category

Software Engineering

Date Posted

June 3, 2026

Full Job Description

đź“‹ Description

  • • Design, develop, and maintain embedded software applications for autonomous aerial systems including V-BAT and X-BAT aircraft, ensuring real-time performance, reliability, and safety in mission-critical environments.
  • • Collaborate with cross-functional teams including hardware engineers, systems architects, and mission planners to integrate embedded software with sensor suites, communication modules, and flight control systems.
  • • Architect and implement low-level firmware and drivers for microcontrollers and embedded processors, optimizing for power efficiency, memory constraints, and deterministic timing requirements.
  • • Lead the development of software for Hivemind Enterprise and Hivemind Vision platforms, enabling autonomous decision-making, object detection, and situational awareness in dynamic operational environments.
  • • Apply rigorous software engineering practices including code reviews, unit testing, integration testing, and continuous integration pipelines to ensure robustness and compliance with defense-grade standards.
  • • Debug and resolve complex system-level issues spanning hardware-software interfaces, real-time operating systems (RTOS), and communication protocols such as CAN, UART, and Ethernet.
  • • Contribute to the evolution of software architecture by evaluating emerging technologies, proposing scalable solutions, and mentoring junior engineers in embedded systems best practices.
  • • Document software design decisions, API specifications, and system behavior in accordance with military and aerospace documentation standards.
  • • Participate in system-level requirements analysis and translate operational needs from defense stakeholders into technical specifications for embedded software components.
  • • Ensure software compliance with relevant security, certification, and regulatory frameworks applicable to defense and aerospace systems.
  • • Work closely with field deployment teams to support testing, validation, and field updates of embedded systems in diverse global environments including urban, maritime, and austere terrains.
  • • Stay current with advancements in embedded computing, AI inference at the edge, and autonomous system software to enhance product capabilities and maintain technological leadership.
  • • Represent the embedded software team in technical reviews, design audits, and customer-facing demonstrations for defense and government partners.

🎯 Requirements

  • • Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or related field
  • • 8+ years of professional experience in embedded software development for real-time systems
  • • Proven expertise in C/C++ for resource-constrained embedded platforms
  • • Hands-on experience with RTOS (e.g., FreeRTOS, VxWorks, QNX) and bare-metal programming
  • • Experience developing firmware for ARM Cortex-M/R processors or similar embedded architectures
  • • Demonstrated track record of delivering production-grade embedded software for safety-critical or defense applications

🏖️ Benefits

  • • Competitive salary and performance-based bonus structure
  • • Comprehensive health, dental, and vision insurance
  • • 401(k) plan with company matching
  • • Unlimited paid time off
  • • Remote work flexibility with support for home office setup
  • • Professional development stipend for certifications and training

Skills & Technologies

Senior
Onsite

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Shield AI, Inc.
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About Shield AI, Inc.

Shield AI develops autonomous systems and artificial intelligence for defense and commercial aviation. Its Hivemind AI pilot enables unmanned aircraft and drones to operate without GPS, communications, or remote pilots. The company’s products include the V-BAT vertical takeoff and landing drone and software for fighter aircraft autonomy. Founded in 2015, Shield AI serves U.S. and allied military forces, focusing on contested environments and battlefield applications. The company integrates machine learning, sensor fusion, and edge computing to provide resilient, intelligent platforms for intelligence, surveillance, reconnaissance, and strike missions.

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