SLAM Engineer

• 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.

Requirements

• Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.
• 2+ years of industry work experience or equivalent.
• 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.
• Consistently professional demeanor in alignment with our values of integrity and excellence in the workplace.

Benefits

• Work with experts from around the world
• Top-notch facility and compensation
• Fully English-speaking work environment in Taiwan
• Combination of the best aspects of a startup, academia, and a large international enterprise