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Sign Up to ReadApplied 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 full-time 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. This in-office expectation does not apply to contractor positions
About the role
As a Systems Engineer , you will play a critical role in defining system requirements, designing architectures, and integrating Applied Intuition’s technology onto autonomous vehicles and defense systems. This role combines systems engineering, robotics, software deployment, architecture, integration, and real-world testing.
You will work across both office and field-based environments, with significant time spent deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. You will collaborate closely with software engineers, autonomy engineers, perception teams, data scientists, and field operators to ensure systems are robust, reliable, and ready for deployment.
At Applied, you will:
Define system requirements from user needs on operational concepts
Define system and system-of-systems architectures and align with open standards such as FACE, A-GRA, etc.
Design and build out reference architectures for multiple systems of interest including autonomy systems, mission systems, and weapon systems
Lead the development of system engineering models and artifacts to capture key design decisions
Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots
Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments
Work with the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation
Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations
Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment
Collaborate with cross-functional teams, including software engineers, data scientists, and field operators, to ensure the successful deployment of systems. Document processes and provide updates on system status and improvements
We’re looking for someone who has:
MS or PhD in Systems Engineering, Robotics Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, Computer Engineering, Optimization, or equivalent
5 years of relevant experience designing multi-agent autonomy
Strong proficiency in Linux, command-line tools, and agentic tooling
Strong proficiency in C++ and Python
Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS) -> something out of those
Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, ROS 2, or similar)
Experience in integrating third-party software and APIs
Experience with standards such as A-GRA, FACE, ARP 4754A, DO-178C, or similar.
Systems architecturing and requirements writing experience
Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions
Travel Requirements:
Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~25%)
From the office, 4 or more days a week in the office
Applied Intuition
Office in CA, United States
Also hiring in United States, Sunnyvale, United States, FL, United States and 3 more places
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