Applied Intuition-posted 4 months ago
$140,000 - $170,000/Yr
Full-time • Mid Level
Remote • San Diego, CA
501-1,000 employees
Publishing Industries

As a Systems Engineer on the Battle Management Command and Control team 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.

  • 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
  • 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
  • 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
  • Base salary range of $140,000 to $170,000 USD annually
  • Equity in the form of options and/or restricted stock units
  • Comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off
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