3D SENSING AND PERCEPTION Engineer

 

Location: Palo Alto, CA

 
Key Responsibilities: 

  • Research and develop advanced real-time robotic SLAM (Simultaneous Localization and Mapping) solutions including 3D sensing, position tracking, 3D mapping / reconstruction, and sensor fusion (RGB-D and inertial sensors).

  • Research and develop practical solutions for 3D scene understanding (e.g., object detection) using state-of-the-art deep learning (DL) and machine learning (ML) methods.

  • SDK development to support applications utilizing the above solutions.

  • Analyze and optimize computer vision and deep learning algorithms on mobile/embedded devices, e.g., using hardware acceleration such as DSP/GPU.

  • Investigate and enable various perception sensors on Android/Linux platforms.

  • We encourage publishing papers to top-tier conferences such as CVPR / ICCV / ECCV / ICML / NIPS / ICRA / IROS / ISMAR.

Qualifications: 

  • M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics or similar field (Ph.D. is preferred).

  • Solid understanding on 3D geometry such as SLAM, SfM, and 3D reconstruction.

  • Solid understanding and experience of applying deep learning to real problems in the fields of computer vision and robotics.

  • Strong experience in C/C++ programming.

  • Hands-on experience in computer vision and deep learning frameworks, e.g., OpenCV, Tensorflow, Pytorch, and Caffe.

  • Ability to quickly adapt to new situations, learn new technologies, collaborate and communicate effectively.

Preferred Qualifications: 

  • 3+ years of industry experience with computer vision and deep learning algorithm development and optimization.

  • Experience with parallel computing, DSP, GPU/CUDA and OpenCL programming is a plus.

  • Top-tier conference publication records, including but not limited to CVPR, ICCV, ECCV, NIPS, ICML, is a strong plus.

 

InnoPeak Technology is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.