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Posted Feb 24, 2026

Senior Perception Engineer (UA)

Stealth Startup

Headquarters

engineeringseniorfull-time
droneembeddedintegrationfielddefensecomputer-vision

Title: Sr. Perception Engineer (UA)

Key Responsibilities:

  • Research and develop digital signal processing (DSP) and machine learning models centered on radio and sensor data for applications like event detection, radio direction finding, signal classification, etc;

  • Create and optimize signal classification models, focusing on the unique signatures of objects (e.g., drones, aircraft);

  • Support synthetic data generation and data collection process for radio data.

  • Support integration of perception algorithms into production environments, ensuring real-time performance and reliability.

  • Work closely with the hardware and prototyping teams to enable efficient integration and synchronization of sensor systems.

  • Contribute to system architecture and help scale perception modules to support expanding operational needs.


Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

  • 8+ years of experience in software engineering and AI/ML development with proven contributions to DSP, computer vision, and/or audio signal processing systems.

  • Strong programming skills in Python and C++, with hands-on experience in TensorFlow and PyTorch.

  • Practical experience with signal processing tools such as Matlab, librosa, torchaudio, and other signal processing libraries.

  • Proficiency in signal processing and classification, event detection, computer vision, image processing and machine learning.

  • Experience deploying models on edge devices (e.g., NVIDIA Jetson, Google Coral) and working with cloud platforms (AWS, GCP).


Nice to Have:

  • Hands-on experience with sensor fusion, IMU data, and embedded system integration.

  • Experience in regulated industries such as medical devices or defense, including knowledge of certification and validation workflows.

  • Prior leadership in building R

  • R&D teams or launching ML features with measurable business impact.


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