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JOIN THE OMNIDIRECTIONAL 3D VISION REVOLUTION

DreamVu is the leader in omnidirectional 3D vision systems. We leverage patented optics with visual imaging software to create omnidirectional 3D vision systems to solve some of the most challenging problems in Robotic Vision. We foster a vibrant environment for innovation and engineering. For an exciting career, explore career opportunities with us.

Life@DreamVu

Featured Jobs

To enable autonomous machines by providing visual intelligence with unparalleled field of view that’s low-cost and low-power

Period: Full Time

Job purpose:
We are looking for research scientists who can extend and develop algorithms for our machine vision platform for robotics and autonomous vehicles. You will get an hands on experience by doing research and rapid prototyping using a combination of state-of-the-art computer vision algorithms. You will be required to perform experimentations and publish in top tier conferences.

Duties & Responsibilities:
-You’ll develop creative architectures to address the emerging demands of computer vision and machine learning algorithms, specifically in the areas of autonomous cars, robots and drones.
-Understand and analyze the interplay between hardware, software, and media processing algorithms.
-Collaborate with a diverse set of teams across the company, spanning software, research, engineering, and product groups.
-Publish original research and speak at conferences and events.
-Understanding different architectures and able to develop applications.
-Implement and enhance processing pipeline and software architecture that allows optimal performance and flexibility for experimentation.
-Collecting datasets for in-depth understanding of problems.
-You will partner with system software engineering leads to build shipping industrial strength code.

Required Skills & Experience:
-Basic familiarity with 3D computer graphics.
-Background in Computer Vision, Machine learning, Deep learning.
-Experience in researching, developing, and implementing novel computer vision algorithms from scratch.
-Image processing experience, including colour correction, lens distortion, color segmentation, image enhancements etc.
-C++ development skills. OpenCV, MATLAB, CUDA required.
-Background in applied mathematics and/or computer science, in particular machine learning, statistics, and graphs: software and algorithms.
-Experience in state-of-the-art numerical algorithms and machine learning technologies
-Familiarity with one or more of the following: MXNet, Pytorch, Caffe,Tensor flow.
-Experience working with large datasets and Deep Learning algorithms
-Familiarity with robotics algorithms such as SLAM, particle filters, Kalman Filter, ICP, calibrations, etc.
-Familiarity with various sensor technologies such as LiDAR, cameras, IMU, etc.
-Strong foundations in applied linear algebra, 3D graphics and 3D data manipulations

Desired Skills & Experience / Bonus Points:
-Knowledge of parallel computing, OpenCL, GPU is a plus
-Knowledge software optimization and embedded programming is a plus
-Experience in depth estimation, 3D reconstruction, multi-view geometry calibration, and optical flow
-Experience in computational imaging/photography is a plus.
-Experience in Intrinsic scene and object classification, camera and/or video pipeline.
-Previous experience on the automotive industry (ADAS systems), SLAM, or related technologies.
-Software development on embedded platforms or large scale cloud services.

Minimum Qualification:
-MS in Computer Science or Electrical Engineering. Ph.D. is preferred
-2+ years of software development experience.
-Publications at top-tier peer-reviewed conferences or journals. Publications in TPAMI, CVPR, ICCV, IJCV, ECCV, NIPS, SIGGRAPH, WACV, BMVC, ICML, ICRA, IROS, IJCAI, ACL, ICASSP is a plus.

Period: Full Time

Job purpose:
We are looking for research engineers who can extend and develop algorithms for our machine vision platform for robotics and autonomous vehicles. You will get an hands on experience by doing research and rapid prototyping using a combination of state-of-the-art computer vision algorithms. You will be required to perform experimentations and also get to publish in top tier conferences.

Duties & Responsibilities:
-You’ll develop creative architectures to address the emerging demands of computer vision and machine learning algorithms.
-Understand and analyze the interplay between hardware, software, and media processing algorithms.
-Collaborate with a diverse set of teams across the company, spanning software, research, engineering, and product groups.
-Publish original research and speak at conferences and events.
-Includes development, writing code and documenting the functionality.
-Understanding different architectures and able to develop applications.
-Implement and enhance processing pipeline and software architecture that allows optimal performance and flexibility for experimentation.
-Collecting datasets for in-depth understanding of problems.

Required Skills & Experience:
-Basic familiarity with 3D computer graphics.
-Background in computer vision, Machine learning, Deep learning.
-Experience in researching, developing, and implementing novel computer vision algorithms from scratch.
-Image processing experience, including colour correction, lens distortion, color segmentation, image enhancements etc.
-C++ development skills. OpenCV, MATLAB required.
-Publications in Computer Vision Conferences.

Desired Skills & Experience / Bonus Points:
-Knowledge of parallel computing, OpenCL, GPU is a plus
-Knowledge software optimization and embedded programming is a plus
-Emphasis on depth estimation, 3D reconstruction, multi-view geometry calibration, and optical flow
-Multi-camera system calibration.
-Computational imaging/photography.
-Intrinsic image decomposition. Scene and object classification. Camera and/or video pipeline knowledge and experience.
-Photography skills is a plus.

Minimum Qualification:
-MS in Computer Science or Electrical Engineering
-Ph.D. is preferred
-2+ years of software development experience.

Period: Full-time

Job purpose:
We are looking for research engineers who can extend and develop algorithms for our camera. You will get an hands on experience by doing research and rapid prototyping using a combination of state-of-the-art computer vision algorithms. You will be required to perform experimentations and also get to publish in top tier conferences. You will develop the proof-of-concept algorithms and hand-off to engineering. Areas of computer vision work may include innovations in SLAM, 3D scene understanding, situational awareness etc.

Duties & Responsibilities:
-Includes development, writing code and documenting the functionality.
-Understanding different architectures and able to develop applications.
-Implement and enhance processing pipeline and software architecture that allows optimal performance and flexibility for experimentation.
-Collecting datasets for in-depth understanding of problems.
-Leverage state of the art tools (OpenCV, TensorFlow) to prototype fast and early

Required Skills & Experience:
-Background in computer vision, Machine learning, Deep learning.
-Experience in researching, developing, and implementing novel computer vision algorithms from scratch.
-Image processing experience, including colour correction, lens distortion, color segmentation, image enhancements etc.
-C++ development skills. OpenCV, MATLAB required.
-Strong collaboration skills.
-Capable of designing integrations of and tuning computer vision algorithms.
-Able to construct, train, evaluate and tune neural networks.
-Experience with motion detection and tracking of people, faces, objects or vehicles.

Desired Skills & Experience / Bonus Points:
-Experience in depth estimation, 3D reconstruction, multi-view geometry, calibration, and optical flow.
-Practical understanding and experience with machine vision neural networks (image recognition & object classification).
-Multi-camera system calibration.
-Computational imaging/photography.
-Intrinsic image decomposition. Scene and object classification.
-Camera and/or video pipeline knowledge and experience.
-Photography skills is a plus.

Minimum Qualification:
-Holding MS or PhD degree with a focus in computer vision or related fields.
-Publications in Computer Vision Conferences.

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