Senior Computer Vision Engineer
- Team
- Math & ML
- Location
- Remote
- Type
- Full-time
As a Senior Computer Vision Engineer at Naveera, you'll develop the computer vision systems that power our AI dash cameras, fleet safety insights, and real-time video intelligence. From multi-camera calibration and object tracking to embedded AI deployment and GPU inference optimization, you'll turn high-resolution camera data into reliable perception systems that help NEMT and fleet operators run safer, smarter operations.
Responsibilities
10- Design and develop computer vision systems for AI dash cameras and in-vehicle camera platforms
- Build real-time perception pipelines for road-facing and cabin-facing camera streams
- Develop models for object detection, multi-object tracking, driver monitoring, safety event detection, and road scene understanding
- Work on multi-camera calibration, including intrinsic and extrinsic calibration
- Apply stereo vision, multi-view geometry, 3D reconstruction, triangulation, and geometric projection models
- Build high-resolution video stream processing systems for real-time tracking at up to 60 FPS
- Optimize computer vision models for embedded AI chip platforms and edge deployment
- Improve GPU inference performance, latency, memory usage, and reliability
- Implement Kalman filtering, temporal fusion, multi-camera spatial fusion, and optimization methods for real-world camera systems
- Collaborate with embedded, firmware, backend, product, and operations teams to bring computer vision features into production
Required qualifications
09- Strong proficiency in Python and computer vision development
- Experience with PyTorch, OpenCV, TensorFlow, or similar ML and computer vision frameworks
- Strong understanding of multi-camera systems, intrinsic and extrinsic calibration, stereo vision, and multi-view geometry
- Experience with object detection, image segmentation, multi-object tracking, and real-time video analytics
- Experience building low-latency perception pipelines for production or real-world environments
- Understanding of GPU inference optimization, model deployment, and performance profiling
- Experience with geometric projection models, 3D reconstruction, triangulation, Kalman filtering, and temporal fusion
- Ability to evaluate computer vision models under real-world conditions such as motion blur, vibration, occlusion, lighting changes, and camera noise
- Strong engineering discipline with experience writing clean, testable, production-ready code
Preferred qualifications
05- Experience with embedded AI deployment and edge inference systems
- Familiarity with YOLOv8, YOLOv11, ByteTrack, DeepSORT, Segment Anything, or similar computer vision tools
- Experience with real-time camera pipelines, embedded Linux, GStreamer, CUDA, TensorRT, ONNX, or hardware-accelerated inference
- Familiarity with deploying models under compute, memory, thermal, and power constraints
- Experience using Git and working in collaborative engineering environments
Education / Experience Requirement
- PhD in Computer Vision, Robotics, Machine Learning, Electrical Engineering, Computer Science, or a related field, plus 1–2 years of relevant experience
- Master's degree in Computer Vision, Robotics, Machine Learning, Electrical Engineering, Computer Science, or a related field, plus 5+ years of relevant experience
- Bachelor's degree or equivalent practical experience, plus 7+ years of professional computer vision or perception engineering experience
Apply for this role
Send us your résumé and anything you think shows the work. We read every application.
Apply for this rolecareers@naveera.tech