Computer Vision Engineer
- Posted 9 hours ago
- Be among the first 10 applicants
Job Description
Key responsibilities
- Design and implement vision-based navigation techniques to improve positioning accuracy
- Develop target detection and tracking capability for terminal-phase guidance
- Work with the flight-control team to fuse vision-derived data into the navigation solution
- Select and integrate onboard camera/sensor hardware within program size, weight, and power constraints
- Characterize system performance under varied real-world conditions and validate degradation modes
- Own the compute and latency budget for the vision pipeline within real-time system constraints
- B.Tech/M.Tech in Computer Vision, Robotics, or related field
- 5+ years applied computer vision experience, ideally with embedded/real-time deployment
- Strong background in visual odometry, terrain-referenced navigation, or object detection/tracking
- Proficiency in Python/C++ and standard CV/ML frameworks, with a track record of deploying on constrained hardware
- Experience with scene-matching or similar terminal guidance techniques
- Prior GNSS-denied navigation work
- Embedded GPU/edge-inference deployment experience
More Info
Key Skills
About Company
Skills:
object tracking , Numpy, Opencv, Azure, Python, AWS, OCR and Document Understanding, CNNs, GCP ML services, Image Classification, Transformers, multimodal AI
Skills:
Digital Signal Processing, MATLAB, Neural Networks, Opencv, Image Processing, Python, Computer Vision, Transformer, Linux development environments, Remote Sensing, Git version control, Embedded Systems, GPU computing
Skills:
Pytorch, Python, Tensorflow, Opencv, sensor fusion, depth estimation, 3D Computer Vision, SLAM
Skills:
Computer Vision, Pytorch, Cuda, FastAPI, Deep Learning, Python, Opencv, Nvidia Triton, Ray, HuggingFace, TensorRT