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Applied Intuition · 4 days ago

Robotic Systems & Integration Engineer

San Diego, CA

Full-time

Hybrid

Mid, Senior Level

$140K/yr - $170K/yr

5+ years exp

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. As a Robotic Systems & Integration Engineer, you will develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics and sensors while participating in hands-on fieldwork to ensure proper functionality in real-world environments.

Artificial Intelligence (AI)Autonomous VehiclesEnterprise SoftwareInfrastructureSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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 directly with sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems, integrating them into the autonomous vehicle framework

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

Interface with and integrate third-party software and APIs into our systems

Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability

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

Qualification

Robotic EngineeringLinuxPythonCI/CDC++Sensors IntegrationAI FrameworksCommunication ProtocolsField Environment ExperienceCommunication

Required

MS or PhD in Robotic 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)

Familiarity with AI frameworks (TensorFlow, PyTorch, OpenCV, etc.) and perception pipeline development

Experience with CI/CD tools such as Jenkins, GitLab, or similar tools for automating deployments and testing

Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, ROS 2, or similar)

Experience in integrating third-party software and APIs

Must be willing to travel as projects require; average travel varies, but can be up to once a month for up to 1 week (~25%)

Must be a U.S. Citizen

Must hold or be eligible to obtain and maintain a U.S. security clearance

Preferred

Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions

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

Ability to work in a fast-paced, evolving environment, as well as working under challenging conditions in remote or field locations