Design and implement complex ML functions and architectures
Conduct system evaluations for ML components
Collaborate with multi-disciplinary teams and customers
What you’ll need
BS in CS with 8+ years, MS with 5+ years, or PhD with 2+ years
Experience with physics-based simulators such as NVIDIA Isaac Sim
Strong understanding of robotics principles
Experience applying machine learning to autonomous systems
Experience with model experimentation tools like MLflow or Weights & Biases
Eligible for Department of War security clearance
Original job description
Carnegie Mellon University’s Software Engineering Institute conducts applied artificial intelligence research and engineering for government and national security applications. The Autonomy Engineer will lead engineering research, prototype AI and machine learning capabilities for autonomy and uncrewed systems, and enhance simulation tools supporting…