As a Researcher / Engineer on the Large Scale Localization and Mapping team, you’ll be exposed to and tasked to deliver solutions with state-of-the-art computer vision capabilities. Your code will be part of the foundations of our 3D platform that enables the next generation of computing applications for many years to come. In this position, you will work on developing and optimizing perception algorithms on cloud and on embedded platforms.
Responsibilities
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
Qualifications
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 and debugging skills
Strong sense of curiosity, fast learner
Preferred / Additional Skills
Numerical computing, modeling, simulation
Familiarity with machine learning techniques for geometric computer vision problems
Experience in code optimization, memory optimization, understanding of abstraction and modularity, critical path optimization and tuning
In depth understanding of computer architecture, computing bottlenecks, memory hierarchy, data coherency, caches, high performance architectures (VLIW, superscalar, etc), SIMD, concurrent systems, parallelization, compilers, system simulators
Experience with SW development for embedded platforms
Experience in developing and maintaining large software projects
Education
BA/BS in CS, EE or similar required. MS, Ph.D. preferred
Additional Information
All your information will be kept confidential according to Equal Employment Opportunities guidelines
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