Autonomy Engineer

What you'll do

• Lead interdisciplinary teams to transform research results into prototype operational capabilities for government customers.
• Conduct and lead novel prototyping in applied artificial intelligence for multi-domain uncrewed systems.
• Develop and execute research and engineering strategies to influence the national technology agenda.
• Use physics-based simulators like NVIDIA Isaac Sim to build 3D digital twins and train ML models.
• Design and implement complex machine learning architectures tailored to specific autonomous systems.
• Conduct system evaluation activities using tools like MLFlow or Weights & Biases to assess model readiness.
• Build and manage software resources and pipelines using Docker and cloud platforms.
• Mentor team members and share technical insights to improve overall division capabilities.

What we're looking for

• Must have a BS in Computer Science or related discipline with experience, an MS with , or a PhD with .
• Must be eligible to obtain and maintain a Department of War security clearance.
• Must have deep experience in applied autonomy and artificial intelligence, including deep learning, reinforcement learning, and computer vision.
• Must have experience using physics-based simulators like NVIDIA’s Isaac Sim for uncrewed vehicle use cases.
• Must have a strong understanding of robotics principles for air, sea, or land-based vehicles, including sensor fusion and navigation.
• Must have proven experience designing and implementing complex machine learning architectures and using tools like MLFlow or Weights & Biases.
• Must have full-stack development experience, including Docker for software resource management and pipeline orchestration.
• Preferred to have a track record of publications, technical leadership, and experience with government research sponsors like DARPA or IARPA.