SLAM Engineer (Internal Applicants Only)

To qualify for the SLAM Engineer role at ASUS, candidates must hold a Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field. Additionally, candidates are expected to have at least two years of industry experience or equivalent work history and a robust understanding of machine learning, artificial intelligence, computer vision, robotics, control theory, and mathematical optimization.

As a SLAM Engineer at ASUS, your key responsibilities include designing and implementing a flexible SLAM stack, creating a test environment for automated testing, and actively engaging with research literature to share insights. You will also be expected to write clean and maintainable code while collaborating within a cross-functional team throughout the software lifecycle.

A successful SLAM Engineer at ASUS should have programming skills in C++, Python, JavaScript, and/or Go. Proficiency in these languages is crucial for developing robust SLAM stacks and effectively contributing to projects within the cross-functional team.

Yes, industry experience is vital for the SLAM Engineer position at ASUS. Candidates should possess a minimum of two years of relevant work experience. This allows you to apply theoretical knowledge in practical scenarios, ensuring that you can handle real-world challenges effectively.

The SLAM Engineer role at ASUS is deeply integrated into our company culture, which emphasizes innovation, collaboration, and excellence. Our engineers are encouraged to think critically about their work and proactively address challenges, all while maintaining a professional demeanor consistent with our values of integrity and excellence in the workplace.

In interviews for the SLAM Engineer position at ASUS, it's important to articulate the fundamentals of Simultaneous Localization and Mapping (SLAM), explaining how it allows a device to map an environment while keeping track of its location. Discuss its applications in robotics, augmented reality, and autonomous vehicles, showcasing your understanding of these technologies.

When answering this question, highlight your familiarity with coding standards, code reviews, design patterns, version control systems, and test automation. This showcases your commitment to producing quality software and aligns with ASUS's focus on maintaining high standards throughout the software lifecycle.

In your response, emphasize your research-thinking mindset. Discuss how you critically analyze problems, consider multiple approaches, and make data-driven decisions. Providing a specific example from your past experience can illustrate your problem-solving process effectively.

For this question, detail your academic and practical experience related to machine learning and computer vision. Mention relevant projects you’ve worked on, algorithms you're familiar with, and how you've applied these skills to solve real-world problems, particularly in the context of SLAM.

When asked about sensor models and image signal processing, highlight your knowledge of different types of range sensors and camera modules. Discuss how you have used these technologies in your projects and how they relate to SLAM systems, showing your technical expertise.

Explain how mathematical optimization is crucial for efficiently solving SLAM problems, such as reducing errors in mapping and localization. Discuss specific optimization algorithms or techniques you have worked with and their impacts on the performance of SLAM systems.

In answering this question, discuss practices like writing clean, well-commented code, adhering to coding standards, and conducting regular code reviews. Mention that maintainability is essential in collaborative environments like ASUS where code quality impacts the entire team.

Share your experience using version control systems such as Git. Emphasize how you utilize these tools for collaboration, tracking changes, and managing different versions of your code efficiently, which is vital for any SLAM Engineer role.

Discuss your methods for staying current in the field, such as reading academic papers, attending conferences, participating in relevant online communities, or following industry experts. This demonstrates your commitment to continual learning and development as a SLAM Engineer.

Express your enthusiasm for technology and innovation, particularly at a leading company like ASUS. Mention how the role aligns with your skills and career goals, and express your desire to contribute to the exciting projects at ASUS that push the boundaries of technology.