Research Scientist

#Who We Are


QCraft is building the driver that can handle the most challenging driving situations in complex urban environments.

Our mission is to bring autonomous driving into real life by using a large-scale intelligent simulation system and a self-learning framework for decision-making and planning. 

At QCraft, we focus on providing our partners with practical solutions for a variety of business applications covering a wide range of use cases in complex urban environments.



#About the Job


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.


*Location: Santa Clara, CA, USA



#About You


The successful candidate 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 experience panel.



#Why QCraft


We Care About Your Growth

* Supportive and positive culture

* High impact projects

* Worldwide career opportunities

* Flexible working hours

* Highly talented co-workers

* Numerous learning resources

* Fantastic development opportunities

* Competitive compensation packages


We Want You to Have Fun

* Coffee, tea and snacks

* Pets at work

* Generous PTO

* Fun and engaging workplace

* Lots of employee engagement events 


(Equal Opportunity Employer Minorities/Women/Veterans/Disabled.)


Be Part of the Autonomous Driving Breakthrough in Real Life
Be Part of the Autonomous Driving Breakthrough in Real Life