Applied Intuition is hiring a BMC2 Systems Engineer to join the Battle Management Command and Control team at EpiSci. You will deploy and validate software on hardware platforms for autonomous vehicles or robotics, splitting your time between hands-on fieldwork on real-world vehicles and office-based development. This role is central to accelerating the adoption of AI-driven machines across automotive, defense, and industrial sectors.
What You'll Do
- 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.
- 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.
- 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.
- Document processes and provide updates on system status and improvements.
What We're Looking For
- 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 a U.S. Citizen.
- Must hold or be eligible to obtain and maintain a U.S. security clearance.
Nice to Have
- 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.
Technical Stack
- Operating Systems: Linux
- Languages: Python, C++
- Sensors: RADAR, Cameras, GPS, SONAR
- Robotics/Autonomy: PX4, ROS, ROS 2
- AI Frameworks: TensorFlow, PyTorch, OpenCV
- CI/CD: Jenkins, GitLab
- Communication Protocols: DDS
Team & Environment
You will work on cross-functional teams including software engineers, data scientists, and field operators.
Benefits & Compensation
- Compensation: $140,000 to $170,000 USD annually
- Equity
- Health, dental, vision, life, and disability insurance
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off
Work Mode
This role is onsite in San Diego, California, United States.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor, prohibiting discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibiting discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.
