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About the Role

As a Systems Engineer on the UK Engineering team, you will play a critical role in defining system requirements, designing architectures, and integrating Applied Intuitions technology onto autonomous vehicles and defence 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.

Responsibilities

Define system requirements from user needs on operational concepts
Define system and system-of-systems architectures and align with open standards such as PYRAMID, FCADE, 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

Requirements

MS or PhD in Robotic Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi-agent autonomy
Strong proficiency in Linux and command-line tools
Strong proficiency in Python and/or C++
Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS)
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 PYRAMID, 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
Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~50%)
Must hold or be eligible to obtain and maintain a UK security clearance

Skills

Robotics
Systems Engineering
Software Deployment
Architecture
Integration
Real-world Testing
Linux
Python
C++
Robotic Systems
Sensors
Vehicle Autopilots
Communication Protocols
Inter-vehicle Communications
Third-party Software Integration
API Integration
PYRAMID
FACE
ARP 4754A
DO-178C
Systems Architecting
Requirements Writing
Field Troubleshooting
Field Testing
Field Deployment
Perception Pipelines
Autonomy SW
Inter-vehicle Communication
Simulation Environments

Location

Sunnyvale, California
Washington, D.C.
San Diego
Ft. Walton Beach, Florida
Ann Arbor, Michigan
London
Stuttgart
Munich
Stockholm
Bangalore
Seoul
Tokyo

Work Type

In-office
Occasional remote work

Experience Level

5 years of relevant experience designing multi-agent autonomy

Education Level

MS or PhD in Robotic Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, Computer Engineering, Optimization, or equivalent

About the Company

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.

Equal Opportunity

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.