Applied Intuition
Robotic Autonomy Systems Engineer
Applied Intuition, Washington, District of Columbia, us, 20022
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Robotic Autonomy Systems Engineer
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Applied Intuition
About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. The company delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Applied Intuition serves the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in multiple locations. Learn more at appliedintuition.com.
About the Role As a Robotic Autonomy Systems Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in HIL/SIL and flight test environments. You will collaborate with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing hardware-software integration, troubleshooting, and customer-facing demonstrations.
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, interfacing with sensors and data collection
Troubleshoot complex integration and software issues to ensure high reliability and performance
Integrate autonomy software into hardware in collaboration with autonomy engineers, supporting 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 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
Qualifications
BS or MS in Robotics, Computer Science or related engineering field
3+ years of hands-on experience 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 buses & protocols: UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet
Experience developing in Docker, containerized deployments, and Linux-based OS (e.g., RHEL, Ubuntu)
Experience using git, Visual Studio Code, GitLab
Familiarity with real-time, edge computing, and safety-critical systems in SIL/HIL/test environments
Excellent communication skills and a customer-oriented delivery mindset
Willingness to travel frequently for on-site integration and demonstrations (estimated 10–20%)
U.S. Citizenship and eligibility to obtain and maintain a U.S. security clearance
Nice to have
Experience in modern C++ (2011, 2017, or 2020), Bash, and CMake
FAA Part 107 Remote Pilot Certificate
Experience with ROS2, Agile development, and CI/CD pipelines
Experience with COTS hardware integration such as Nvidia Jetson and Xilinx RF/MPSOC
Active U.S. SECRET clearance preferred
Compensation and Location Base salary range in the listed location: $150,000 to $215,000 USD annually. Compensation may include equity, health, dental, vision, life and disability insurance, 401k with employer match, stipends, and paid time off. Benefits are subject to change and may vary by jurisdiction.
Note: The actual base salary offered will be influenced by experience, credentials, and other factors.
Equal Opportunity Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Applicable laws require non-discrimination and affirmative action. See the job posting for details.
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Robotic Autonomy Systems Engineer
role at
Applied Intuition
About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. The company delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Applied Intuition serves the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in multiple locations. Learn more at appliedintuition.com.
About the Role As a Robotic Autonomy Systems Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in HIL/SIL and flight test environments. You will collaborate with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing hardware-software integration, troubleshooting, and customer-facing demonstrations.
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, interfacing with sensors and data collection
Troubleshoot complex integration and software issues to ensure high reliability and performance
Integrate autonomy software into hardware in collaboration with autonomy engineers, supporting 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 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
Qualifications
BS or MS in Robotics, Computer Science or related engineering field
3+ years of hands-on experience 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 buses & protocols: UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet
Experience developing in Docker, containerized deployments, and Linux-based OS (e.g., RHEL, Ubuntu)
Experience using git, Visual Studio Code, GitLab
Familiarity with real-time, edge computing, and safety-critical systems in SIL/HIL/test environments
Excellent communication skills and a customer-oriented delivery mindset
Willingness to travel frequently for on-site integration and demonstrations (estimated 10–20%)
U.S. Citizenship and eligibility to obtain and maintain a U.S. security clearance
Nice to have
Experience in modern C++ (2011, 2017, or 2020), Bash, and CMake
FAA Part 107 Remote Pilot Certificate
Experience with ROS2, Agile development, and CI/CD pipelines
Experience with COTS hardware integration such as Nvidia Jetson and Xilinx RF/MPSOC
Active U.S. SECRET clearance preferred
Compensation and Location Base salary range in the listed location: $150,000 to $215,000 USD annually. Compensation may include equity, health, dental, vision, life and disability insurance, 401k with employer match, stipends, and paid time off. Benefits are subject to change and may vary by jurisdiction.
Note: The actual base salary offered will be influenced by experience, credentials, and other factors.
Equal Opportunity Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Applicable laws require non-discrimination and affirmative action. See the job posting for details.
#J-18808-Ljbffr