Xsense.ai is developing full stack solutions for autonomous driving for next generation of transportation. We are looking for engineers who are passionate about autonomous vehicles to join in and help us build best in class autonomous vehicles.
We are looking for a Deep Learning Engineer with strong algorithm design skills and experience. You will build state-of-the-art perception (detection and classification) algorithms for autonomous vehicles.
You will be working with a team of best-in-class computer vision/deep learning engineers to ensure best perception performance on our autonomous vehicles. Your work will ensure that we deliver most reliable mass market autonomous vehicle solution.
Research, prototype, optimize and deploy state-of-the-art perception (detection and classification) algorithms for production autonomous vehicles which includes developing deep learning and/or traditional computer vision algorithms.
Train large-scale deep learning models on GPU clusters and improve algorithm through tracked evaluation metrics.
Optimize utilization of deep learning compute resources via quantization, pruning and other novel techniques
Work closely with software and test teams on development of algorithms/modules on simulation and on-target platforms
Minimum Skill Requirements:
Master of Science (MSc) or PhD degree in Computer Science, Electrical / Mechanical Engineering, Physics, Applied Mathematics, Statistics or related field
Strong hands-on skills with at least one of the following deep learning frameworks (PyTorch, TensorFlow, MXNet, etc.)
Familiar with classical computer vision algorithms such as multiview geometry
Proficient in developing algorithms in either C/C++ or Python
Strong will to research, develop and apply deep learning algorithm to new problems
Good communication skills to convey information and results clearly
Preferred Skill Requirements:
Research experience in Deep Learning or Computer Vision
Strong publication in top AI conferences (CVPR, ICCV, ECCV, NIPS, ICML, ICLR, etc.) or experience in Kaggle competition
Experience with classical Lidar point cloud algorithms such as plane fitting and clustering
What do we provide:
A fun, supportive and engaging environment
Opportunities to pursue and work on cutting edge technologies
Snacks, lunches and fun activities
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.