- Masters’ or Ph.D. degree in Computer Science, Electrical Engineering, Robotics or related field
- 7+ years of related experience
- 2+ years of professional experience working on Computer Vision using C++ and OpenCV
- Expert knowledge of modern C++ (C++11 or later) and Python
- Experience in deploying perception algorithms into real-world environments
- Familiar with NVIDIA software libraries such as CUDA or TensorRT
- Experience building testing and evaluation platforms
- Familiarity with deep learning applied to computer vision problems
- Experience working on Computer Vision problems in at least two of the following subjects: Feature detection & matching, Image Filtering, Object Tracking, 3D Estimation, 3D Reconstruction, SLAM
- Proficiency in modern container technologies including Docker and Kubernetes
- In-depth understanding of software performance and optimization
- Strong math fundamentals and a good grasp of 3D geometry and vector math
- Worked with one or more neural network frameworks, such as Tensorflow or PyTorch
More about Gatik:
With headquarters in Mountain View, CA and offices in Canada, Texas, Louisiana and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at
Gatik for more company information and
Jobs @ Gatik for more open roles.
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Taking care of our team:
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.