Applied Intuition · 8 hours ago
Robotic Autonomy Software Engineer
Applied Intuition is a vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. As a Robotic Autonomy Software Engineer, you will design and integrate complex autonomy and vehicle intelligence systems, collaborating with cross-functional teams to deliver robust solutions for defense and commercial customers.
Artificial Intelligence (AI)Autonomous VehiclesEnterprise SoftwareInfrastructureSoftware
Responsibilities
Adapt and develop modular and agile autonomy capabilities across diverse defense problems
Integrate and deploy autonomy solutions onto embedded Linux and other hardware platforms, including interfacing with sensors and collecting data
Troubleshoot complex integration and software issues to ensure high reliability and performance
Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc
Support live flight test of autonomy software on group 1-5 unmanned aerial vehicles (UAVs)
Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware
Conduct system-level setup, testing, and validation, including software-in-the-loop and hardware-in-the-loop evaluations
Collaborate with autonomy engineers to implement service-oriented-architecture software and inter-process messaging systems for autonomous UASs
Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware
Qualification
Required
BS or MS in Robotics, Computer Science or related engineering field
2+ years of hands-on experience working with robotic systems (hardware, software, and integration)
Experience with software programming languages: C++ preferred
Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4)
Experience integrating with communication busses & protocols: UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet
Experience developing in Docker, containerized deployment environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)
Experience using git, Visual Studio Code, GitLab
Familiarity with real-time, edge computing, and safety-critical systems operating in software-in-the-loop (SIL), hardware-in-the-loop (HIL), test & operational environments
Excellent communication skills and customer-oriented project delivery mindset
Willingness to travel frequently for on-site integration and demonstrations (estimated 10–20%)
U.S. Citizenship
Eligibility to obtain and maintain a U.S. security clearance
Preferred
Experience in modern C++ (2011, 2017, or 2020 standards), Bash, and CMake
FAA Part 107 Remote Pilot Certificate
Experience with ROS2, Agile development practices, and CI/CD pipelines
Prior work with COTS hardware integration such as Nvidia Jetson and Xilinx RF/MPSOC
Active U.S. SECRET clearance preferred
Benefits
Comprehensive health, dental, vision, life and disability insurance coverage
401k retirement benefits with employer match
Learning and wellness stipends
Paid time off
Company
Applied Intuition
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
at scale.
Funding
Current Stage
Late StageTotal Funding
$1.5BKey Investors
General Catalyst
2025-06-17Series F· $600M
2024-07-25Secondary Market· $300M
2024-03-11Series E· $250M
Recent News
2025-12-11
globalventuring.com
2025-12-06
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