Autonomy Systems Engineer – Field Deployment & Robotics

Applied Intuition

Washington

On-site

USD 130,000 - 180,000

Full time

6 days ago
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Job summary

Applied Intuition, Inc. is hiring a Systems Engineer to define system requirements, architectures, and deploy software on autonomous vehicles and defense systems.

You will work across field and office environments, collaborating with software, autonomy, perception, data science, and field operators to ensure robust, safe deployments. Ideal candidates have advanced robotics or systems engineering credentials or 5+ years in autonomy, strong Linux, Python, and C++, and experience with PX4, ROS, and

Qualifications

  • Advanced degree or equivalent experience in robotics or autonomous systems.
  • Proficient in Linux, Python, and C++ for robotics deployments.
  • Experience with autonomous vehicle architectures and field testing.

Responsibilities

  • Define system requirements from user needs for autonomous platforms.
  • Design architectures and reference architectures for autonomy and mission systems.
  • Develop, deploy, and validate software on autonomous vehicles and defense systems.
  • Lead field deployments and testing in dynamic environments.
  • Collaborate with software, perception, data science, and field ops teams.

Skills

Linux
Python
C++
Robotic systems
Inter-vehicle communications
Field testing
System-of-systems architectures

Education

MS or PhD in Robotic Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience

Tools

PX4
ROS
ROS 2
DDS

Job description

Applied Intuition, Inc. is hiring a Systems Engineer to define system requirements, architectures, and deploy software on autonomous vehicles and defense systems.

You will work across field and office environments, collaborating with software, autonomy, perception, data science, and field operators to ensure robust, safe deployments. Ideal candidates have advanced robotics or systems engineering credentials or 5+ years in autonomy, strong Linux, Python, and C++, and experience with PX4, ROS, and

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