©2019 by QCraft.ai.

Join Us

We are a team of innovators in practice. If you embrace challenges, believe in hard work, enjoy finding clean solutions to difficult problems and are passionate about autonomous driving, QCraft is the right place for you. We provide competitive compensation packages and generous benefits so you can focus on your work. You will be thriving with a fast-growing startup and be part of the autonomous driving breakthrough in real life. If interested, please send your resume to career@qcraft.ai and let’s talk!

 

Lead Research Engineer

The Lead Research Engineer will be in charge of company’s applied machine learning development, working with experts in the field of robotics and advanced state of the art technology in areas such as computer vision, sensor fusion, machine learning, object tracking etc.

The successful candidates must have the following qualifications:

  • Master degree or above in Computer Science or equivalent practical experience

  • Hands-on experience in robotics research

  • Expertise in one or more of the following: Computer vision, LIDAR, object tracking, sensor fusion, perception, machine learning, motion planning and control.

  • C++, Python, CUDA, Tensorflow, Keras, Pytorch.

  • At least 4 years of directly related experience.

Machine Learning Engineer

  • Master or PhD degree specializing in machine learning, computer vision, robotics or related fields

  • Track record of research excellence or significant product development

  • Excellent programming skills in C/C++ and Python

  • Outstanding expertise and experience in some or many of the following areas: computer vision, machine learning, robotics

  • Mastery of at least one machine learning framework such as Tensorflow and PyTorch

  • Passion for solving challenging research problem and willingness to convert research work into products

  • Strong communication skills and teamwork mindset

Motion Planning Engineer

  • Advanced degree specializing in robotic motion planning or related fields.

  • Excellent C/C++ programming skills.

  • Deep understanding of modern motion planning techniques, such as sampling based planning and numerical optimization. 

  • Strong applied mathematical skills in dynamical systems, kinematics, differential geometry, computational geometry, calculus of variations, or related fields.

  • Strong communication skills and teamwork mindset.

  • Experience in the autonomous driving industry is a plus.

Computer Vision Engineer

  • Advanced degree or equivalent experience in machine learning, computer vision and robotics.

  • Excellent programming skills in C/C++ or Python.

  • Strong mathematics and analytical skills.

  • Hands-on experience in one of the following areas: object detection, semantic/instance segmentation, motion/depth estimation, optical flow, object tracking and action recognition.

  • Strong communication skills and teamwork mindset.

Simulation Engineer

  • Bachelor degree or above in CS or related disciplines.

  • Excellent C/C++ programming skills and dedication to high-quality code.

  • Familiarity with the overall architecture of the autonomous driving technology stack and ability to work across teams to support evolving testing needs.

  • Deep understanding of concepts and techniques in distributed computing and high-performance computing.

  • Experience with modeling driver/pedestrian behavior or video game development is a plus.

  • Strong communication skills and teamwork mindset.

Research Scientist

Research Scientist at QCraft will be in charge of the company's research and development of computer vision and machine learning techniques, and working with engineers in the field to define, design, implement and optimize innovative computer vision and machine learning software components.


The successful candidates must have the following qualifications:
* M.S and above in computer vision, machine learning, computer science or equivalent practical experience
* Hands-on experience in computer vision, machine learning, and robotics research
* Publications in top-tier conferences in related fields (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR)
* Expertise in one or more of the following: LiDAR, object detection and tracking, sensor fusion, perception, machine learning, motion planning and control.
* At least 4 years of directly related experiencepanel.