Applied Perception Engineering Lead

About the Role

We are looking for a Perception Team Lead who will lead a team in developing Perception pipelines for multiple modalities (EO/IR, Radar, with growth paths into Acoustics, Passive RF, and Sonar). The software will be deployed in the real world for government and defense applications. This position will help the team execute effectively through technical guidance, mentoring, collaboration with other peer teams, integration into broader systems, and using best practices for designing and building software systems. You will be responsible for maintaining and executing the technical roadmap for the Perception pipelines as well as a Perception Autonomy service, which is responsible for a number of perception-related behaviors (e.g., camera scanning, slew and cue, object following, dynamic EMCON modes, multi-track custody, track handoff between sensors, etc.).  Please note that this role does not include training ML models; instead, it will be responsible for integrating pre-trained models into these pipelines.

At Applied, you will:

• 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.

We're looking for someone who has:

• 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.

Nice to have:

• 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

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include 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, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $175,000 to $235,000 USD annually.