Applied Perception Engineering Lead
- Manage a team of talented software engineers working together on exciting perception and perception autonomy projects.
- Oversee and contribute to the development of perception pipelines utilizing EO/IR and Radar sensor modalities, with potential of moving into perception pipelines for Acoustics, Passive RF, and Sonar sensors.
- Oversee and contribute to the Perception Autonomy service, which includes a growing number of behaviors, such as camera scanning, slew and cue, object following, dynamic EMCON modes, multi-track custody, and track handoff between sensors.
- Lead the development and incorporation of pre-trained models (produced by a separate team) into production Perception pipelines.
- Ensure your team delivers high quality, robust software that can fulfill project requirements for real-world deployment on hardware components.
- Work closely with partners and internal teams to ensure success on project milestones, and seamless integration with peer teams platforms.
- Manage and track multiple priorities while maintaining a focus towards common project goals.
- MS in computer science, ML, robotics, or related fields from a top institution.
- 8+ years industry experience in Perception-related fields (e.g., ATR, ML).
- 2+ years experience in leading teams with varied backgrounds.
- Experience with deploying software to hardware components with rigorous verification and validation.
- Experience with perception pipelines using real-time data from Radar and EO/IR systems.
- Deep technical understanding of production-level development in C++ and/or Python for integrating object detector, classifier, and few-shot models (ATR models).
- Experience with designing and working with autonomous systems, particularly in off-road, maritime, or aerospace applications.
- PhD in a Perception, Robotics, or CS related field.
- Hands-on experience in deploying autonomy in the real world.
- Deep experience in both hardware and software aspects of robotics and sensor systems.
- Competence in signal processing, linear algebra, machine learning, radar, optics, photonics, or electro-optics.
- Active U.S. SECRET clearance preferred
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