Job Details

ID #44697765
State California
City Sanjose
Job type Permanent
Salary USD Depends on Experience Depends on Experience
Source OSI Engineering, Inc.
Showed 2022-08-08
Date 2022-08-05
Deadline 2022-10-04
Category Architect/engineer/CAD
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Computer Vision Scientist: Mapping and Localization with Global Automotive Company in Bay Area, CA

California, Sanjose, 95101 Sanjose USA

Vacancy expired!

Computer Vision Scientist: Mapping and Localization with Global Automotive Company in Bay Area, CA

Summary:Join an innovative team within a global automotive company that focuses on research and development of vision-based mapping and localization using various on-board sensors for next generation mobility systems. Our ideal candidate has experience in visual SLAM, primarily using machine learning-based methods, secondary to a classical approach with a publication track record. The responsibilities include survey of state-of-the-art Computer Vision and SLAM technologies, research new methods and algorithms, design, and implementation of software to support real-time operation of autonomous mobile systems and to solve real problems.Position focuses on mapping and localizations, vision-based mapping, from stereo camera or monocular camera, not from Lidar or other means, focused on vision-based mapping and localization.Other sensors that can be used in conjunction to vision-based method, primary sensing modality is a camera.

Responsibilities:
  • Take ownership of mapping technologies in the next generation and make relentless efforts to research, evaluate, perfect, and promote proposed solutions within the organization.
  • Research and development of next-generation mapping and localization solutions aiming at accurate and semantically correct scalable maps and localization with minimal supervision.
  • Design, development, and integration of software systems necessary to realize research prototypes.
  • Develop evaluation metrics to confirm the efficacy of proposed algorithms.
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value.
  • Be an essential member of a team of engineers and scientists that develop technologies for autonomous systems in a fast-paced software development environment.

Required Skillset:
  • Deep understanding of classic SLAM pipeline such as feature extraction, triangulation, BA, loop closure, etc.
  • Familiarity with recent advances in various SLAM topics, such as visual place recognition, long-term localization, semantic SLAM, topological mapping, distributed and incrementally learned maps, etc.
  • Excellent software skills for real time operations.
  • Ability to transfer conceptual models to working code in C or Python.
  • Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents.
  • Strong publication record in visual SLAM, computer vision or machine learning. At least 2-3 papers in this field, in reputable conferences.
  • Experience with visual SLAM to do mapping and localization. Two methods: 1) classical approach 2) machine learning based methods b/c some complex situations like lighting and variations, things that require semantic scene understanding cannot be done with a classical method.
  • Experience with machine learning based methods and state of the art computer vision SLAM technologies. Hands on experience, not just theoretical. Have research and implementation
  • Ph.D. or M.S. in computer science, robotics, electrical engineering, or related field.

Bonus Skillset:
  • Experience in Deep Learning frameworks such as TensorFlow or Pytorch.
  • Familiarity with vehicle sensors and hardware, including cameras, LiDAR, GPS, CAN, IMU, USB, Ethernet.
  • Extensive hands-on experience in real-world robotics applications and robot operating system (ROS).

Location: San Jose, CA

Type: Direct Hire Submit resumes to

Vacancy expired!

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