About EpiSci

EpiSci is redefining tactical mission autonomy. These technologies span across defense and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our tactical AI offers robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Our AI increases human capability in aircraft like the F-22 and F-16; it’s revolutionizing wireless tactical communication systems and filling the skies with swarms of autonomous UAVs supercharged by sensor fusion.

About the role

As a Systems Engineer at EpiSci, your role is critical. You'll deploy and validate software on hardware platforms, focusing on autonomous vehicles or robotics. This position requires both field and office-based work, with significant time spent deploying and testing software on autonomous vehicles in real-world environments.

At EpiSci, you will:

• System Engineering: Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots.
• Field Deployment & Testing: Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments.
• Interfacing with Sensors and Autopilots: Work directly with sensors (e.g., RADAR, cameras, GPS) and vehicle autopilot systems, integrating them into the autonomous vehicle framework.
• Perception & Autonomous Modules: Deploy and optimize perception pipelines (computer vision, sensor fusion) and collaborative autonomy systems, ensuring robust and safe vehicle operation.
• Communication Systems: Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations.
• Third-Party Software Integration: Interface with and integrate third-party software and APIs into our systems.
• AI and Machine Learning Integration: Develop, test, and refine AI-driven systems that enable autonomous decision-making and perception capabilities.
• Software Quality & CI/CD: Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability.
• Simulation & Testing: Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment.
• Collaboration & Documentation: 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.

We're looking for someone who has:

• 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.

Travel Requirements:

• Must be willing to travel as projects require; estimated average travel is once every other month for between 2 days up to 1 week (~20%).

Security Requirements:

• Must be a U.S. Citizen.
• Must hold or be eligible for a U.S. SECRET security clearance.

Nice to have:

• Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions.
• Strong problem-solving, analytical skills, and ability to work under pressure.
• 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.