Cyngn is seeking an experienced Senior Software Engineer to join their Perception team to develop advanced deep learning models for object detection, segmentation, and tracking using camera and lidar data for autonomous forklifts.
Requirements
- 4+ years of experience writing Python software in a production environment - unit testing, code review, algorithm performance trade-offs, etc.
- Strong theoretical foundation in deep learning techniques for computer vision, with working knowledge of linear algebra, probability, and optimization.
- Hands-on experience developing and deploying deep learning models for real-world perception tasks (e.g., detection, segmentation, multi-object tracking).
- Proficiency with libraries such as Pytorch, TensorFlow, Numpy, SciPy, OpenCV (Python), etc.
- Experience building and integrating tools and infrastructure to optimize model development lifecycle, including but not limited to model versioning, model evaluation, model deployment, etc.
- Proficiency in C++ for robotics or real-time applications.
- Hands-on experience with model acceleration or compression (TensorRT preferred).
Responsibilities
- Design, implement, and optimize deep learning models for object detection, segmentation, and tracking using camera and lidar data.
- Build and maintain data pipelines, training infrastructure, and inference frameworks to support reproducible and scalable model development.
- Develop tools and metrics for evaluating model performance and ensuring robustness across diverse warehouse environments.
- Work with third-party annotation vendors to generate high-quality labeled datasets for training and validation.
Other
- MS/PhD in computer science, computer engineering, robotics, or similar technical field of study.
- Excellent written & verbal communication skills.
