Job Description
About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.
About the role
As a Robotic Software 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 both SIL, HIL and live test environments. Computer networking, code integration, and a passion for robotics integration is a must. You will collaborate closely with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing seamless hardware-software integration, troubleshooting, and customer-facing demonstrations.
At Applied Intuition you will:
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 Applied 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 UASsCollaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware
Who we’re looking for:
BS or MS in Robotics, Computer Science or related engineering field
3+ 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- ... (truncated, view full listing at source)