Allen Control Systems
Perception & Tracking Engineer
About this role
Allen Control Systems seeks a Perception & Tracking Engineer to design and implement real-time multi-object tracking algorithms for autonomous gun turret systems. You'll develop classical and deep learning-based computer vision pipelines for detecting and tracking objects in dynamic environments, optimizing for embedded hardware while collaborating with robotics and software teams.
What you'll do
- Design and implement 3D computer vision-based multi-object tracking algorithms including data association, track correlation, and uncertainty handling
- Develop and optimize object detection and tracking pipelines using deep learning techniques (YOLO, R-CNN, ByteTrack, etc.)
- Train, evaluate, and deploy machine learning models for perception tasks in dynamic environments
- Profile and optimize tracking systems for low-latency real-time performance on embedded and GPU hardware
- Design image preprocessing and feature extraction pipelines to improve robustness
- Define tracking metrics, evaluation frameworks, and test scenarios to quantify accuracy and computational efficiency
What they're looking for
- 3D computer vision and multi-object tracking algorithms
- Object detection frameworks (YOLO, SSD, R-CNN)
- Classic and deep learning tracking methods (Kalman filters, particle filters, ByteTrack)
- Python and C++ for perception software development
- Linear algebra, probability, statistics, and optimal estimation
- Image preprocessing and classical computer vision pipelines
- Real-time embedded systems optimization
- Machine learning model training and deployment
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Allen Control Systems
Allen Control Systems builds autonomous defense systems, including gun turrets and drone-defense technology, using computer vision, control systems, and robotics. The company is hiring across software engineering, mechanical engineering, testing, and operations roles to support product development and scaled production.
View all jobs at Allen Control SystemsLikely interview questions
- Walk us through your experience building and deploying multi-object tracking systems in production—what were the main challenges you faced?
- How would you approach debugging track fragmentation and ID switches in a cluttered environment with small, fast-moving objects?