System Engineer - Robotics

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.

As a Systems Engineer on the UK Engineering team, you will play a critical role in defining system requirements, designing architectures, and integrating Applied Intuition’s 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.

• 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
  
  

• 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) -> 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 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

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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.

• Excellent written and verbal communication skills, with the ability to document processes and communicate technical concepts to cross-disciplinary teams

• Experience working on autonomy, robotics, aerospace, defence, mission systems, or safety-critical systems

• Experience working directly with customers, operators, or end users in field-based environments

• Ability to work in a fast-paced, evolving environment, including under challenging conditions in remote or field locations

• References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners