Computer Vision Researcher / Engineer, Localization

As a Researcher / Engineer on the Large Scale Localization and Mapping team, you will be responsible for developing and optimizing perception algorithms for state-of-the-art computer vision capabilities. Your work will contribute to the foundation of a 3D platform that will enable the next generation of computing applications. This role requires expertise in C++ and Python, as well as experience in geometric computer vision and related areas such as SfM/SLAM and 3D reconstruction. Additionally, you will collaborate with a fast-paced team, drive performance metrics, and integrate perception systems into the company's software ecosystem.

• Develop and productize computer vision algorithms for state-of-the-art performance critical large-scale localization and mapping systems
• Own and drive highly visible performance metrics (e.g. latency, memory, bandwidth, power)
• Collaboratively work as part of a fast-paced team, analyze and optimize a growing C++ and Python codebase
• Own and drive the integration of the team’s perception systems into the Magic Leap software ecosystem
• Help define performance standards for algorithms, develop and drive best practices (performance, maintainability, correctness, etc), provide guidance at all stages of the software development cycle and share knowledge
• Help drive the integration and development of necessary tooling and automation (profiling, testing/verification, monitoring, etc) that allows the team to move even faster
• Participate in architecture design, development planning and prioritization for the team’s perception algorithms
• Close proximity to our office in Sunnyvale, CA or Zurich, Switzerland for on-device testing

• 3+ years of professional experience in C++, Python with high performance / low latency applications
• 2+ years of experience in geometric computer vision, SfM / SLAM, 3D reconstruction, visual odometry, sensor fusion, or similar
• Strong CS fundamentals
• Excellent problem-solving skills
• High quality coding
• Performance analysis skills

• Close proximity to office in Sunnyvale, CA or Zurich, Switzerland for on-device testing
• High performance / low latency applications
• Geometric computer vision, SfM / SLAM, 3D reconstruction, visual odometry, sensor fusion experience
• Strong CS fundamentals, problem-solving skills, coding, performance analysis, and debugging skills
• Numerical computing, modeling, simulation skills
• Familiarity with machine learning techniques for geometric computer vision problems
• Code optimization, memory optimization, abstraction and modularity understanding, critical path optimization and tuning experience
• In-depth understanding of computer architecture, computing bottlenecks, memory hierarchy, data coherency, caches, high-performance architectures, SIMD, concurrent systems, parallelization, compilers, system simulators
• SW development for embedded platforms experience
• Developing and maintaining large software projects experience
• BA/BS in CS, EE or similar required. MS, Ph.D. preferred
• Confidentiality of information according to Equal Employment Opportunities guidelines