Systems Engineer - Robotics
$140k - $180k • Washington, D.C. • FullTime
Posted 1mo ago
Job Location
Washington, D.C.
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Applied Intuition is seeking a Systems Engineer to join their team and play a critical role in defining system requirements, designing architectures, and integrating the company's technology onto autonomous vehicles and defense systems. This role blends systems engineering, robotics, software deployment, architecture, integration, and real-world testing. You will work in both office and field environments, dedicating significant time to deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. Collaboration with software engineers, autonomy engineers, perception teams, data scientists, and field operators will be key to ensuring systems are robust, reliable, and ready for deployment.
Responsibilities
- Define system requirements based on user needs and operational concepts.
- Define system and system-of-systems architectures, aligning with open standards.
- Design and build reference architectures for autonomy, mission, and weapon systems.
- Lead the development of system engineering models and artifacts.
- Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and autopilots.
- Participate in hands-on fieldwork, deploying software on vehicles and ensuring functionality in real-world environments.
- Deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW in collaboration with relevant teams.
- Address inter-vehicle communication for seamless data exchange in collaborative autonomous operations.
- Leverage simulation environments to test vehicle systems and validate software behavior.
- Collaborate with cross-functional teams to ensure successful system deployment and document processes.
Requirements
- 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 (RADAR, cameras), and vehicle autopilots (e.g., PX4, ROS).
- Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, ROS 2).
- Experience integrating third-party software and APIs.
- Experience with standards such as A-GRA, FACE, ARP 4754A, DO-178C, or similar.
- Systems architecting and requirements writing experience.
- Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions.
- Willingness to travel as projects require (up to 25%).
- Must hold or be eligible to obtain and maintain a US security clearance.
Benefits
- Base salary
- Equity (options and/or RSUs)
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off