Perception Engineering Lead - Real-World Autonomy & Sensors

Applied Intuition Inc.

Poway (CA)

On-site

USD 175,000 - 235,000

Full time

14 days+

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Job summary

Applied Intuition seeks a Perception Team Lead to guide a talented team developing perception and autonomy pipelines for multiple modalities, including EO/IR and Radar, with growth paths into Acoustics, Passive RF, and Sonar. The role emphasizes technical guidance, mentoring, and integration into broader systems.

You will own the Perception pipelines roadmap and the Perception Autonomy service, ensuring production-ready software for real-world hardware deployment while collaborating across

Qualifications

  • MS in computer science, ML, robotics or related field.
  • 8+ years in perception-related fields.
  • 2+ years leading teams.
  • Experience deploying software to hardware with verification and validation.
  • Experience with perception pipelines using real-time data from Radar and EO/IR.
  • Strong production development in C++ and/or Python.

Responsibilities

  • Lead a team of software engineers working on perception and perception autonomy projects.
  • Oversee perception pipelines for EO/IR and Radar; expand to Acoustics, RF, and Sonar as needed.
  • Lead integration of pre-trained models into production perception pipelines.
  • Ensure high-quality, robust software for real-world deployment on hardware components.
  • Collaborate with partners and internal teams to meet project milestones.

Skills

C++
Python
Leadership
Perception systems
ML

Education

MS in computer science

Tools

ROS
GTest

Job description

Applied Intuition seeks a Perception Team Lead to guide a talented team developing perception and autonomy pipelines for multiple modalities, including EO/IR and Radar, with growth paths into Acoustics, Passive RF, and Sonar. The role emphasizes technical guidance, mentoring, and integration into broader systems.

You will own the Perception pipelines roadmap and the Perception Autonomy service, ensuring production-ready software for real-world hardware deployment while collaborating across

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