SLAM Engineer

Job Location

Taipei City

Type of Job

Full Time

  • Design and implement a flexible and robust SLAM stack that enables quick iterations.

  • Design and implement a test environment that supports automated testing with validation data.

  • Independently read relevant literature and share your insights and knowledge with other stakeholders.

  • Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.

  • Write clean, maintainable, and well-commented source code.

  • Work in a cross-functional team that takes ownership of the full software lifecycle.

Qualifications

  • Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

  • Exceptional academic track record with expertise in machine learning, artificial intelligence, computer vision, robotics, control theory, and/or mathematical optimization.

  • Expertise in SLAM, structure-from-motion, multiple view geometry, visual inertial odometry, and Bayesian filtering.

  • Familiarity with range sensors, sensor models, camera modules, and the image signal processing pipeline.

  • Solid understanding of mathematical optimization and linear algebra.

  • Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.

  • Programming skills in C++, Python, JavaScript, and/or Go.

Roles & responsibilities

  • Design and implement a flexible and robust SLAM stack that enables quick iterations.

  • Design and implement a test environment that supports automated testing with validation data.

  • Independently read relevant literature and share your insights and knowledge with other stakeholders.

  • Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.

  • Write clean, maintainable, and well-commented source code.

  • Work in a cross-functional team that takes ownership of the full software lifecycle.

Qualifications

  • Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

  • Exceptional academic track record with expertise in machine learning, artificial intelligence, computer vision, robotics, control theory, and/or mathematical optimization.

  • Expertise in SLAM, structure-from-motion, multiple view geometry, visual inertial odometry, and Bayesian filtering.

  • Familiarity with range sensors, sensor models, camera modules, and the image signal processing pipeline.

  • Solid understanding of mathematical optimization and linear algebra.

  • Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.

  • Programming skills in C++, Python, JavaScript, and/or Go.

How to apply

If you have the passion, knowledge and expertise to contribute to an elite and diverse team of experts, we strongly encourage you to apply today. Send your resume along with the name of the position you are applying for and a brief self-introduction to Recruiting_ARAIC@asus.com.

About us

The ASUS Robotics and AI Center is a world-class research and development laboratory in Taipei that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists are dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. Through our drive to pursue the boundless possibilities of these nascent technologies and meet the difficult challenges they present head-on, we will achieve breakthroughs that will propel future innovations and empower people around the world with new capabilities of robotics and AI computing.