5 months ago
Responsibilities
- Validate visual, visual-inertial, and multi-sensor SLAM and other perception algorithms across XR use cases.
- Design scenario-driven validation strategies covering accuracy, robustness, stability, and failure modes.
- Evaluate perception performance across sensors, calibrations, environments, and system configurations.
- Define and evolve KPIs including pose accuracy, drift, stability/jitter, robustness, and reconstruction quality.
- Perform mathematical and statistical analysis of logs, trajectories, and 3D outputs.
- Identify and implement test-automation opportunities to improve coverage, repeatability, and efficiency.
- Conduct preliminary root-cause analysis of perception failures and regressions.
- Provide actionable debugging insights to algorithm and system teams and communicate technical issues to leadership and cross-functional stakeholders.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field plus 4+ years of relevant experience; alternatively, a master's degree plus 3+ years or a PhD plus 2+ years.
- At least 2 years of work experience with a programming language such as C, C++, Java, or Python.
- Strong foundation in linear algebra, geometry, probability, and optimization.
- Strong Python proficiency for automation, analysis, and tooling.
- Solid understanding of SLAM algorithms, perception pipelines, and camera, IMU, and multi-sensor calibration.
- Experience with large-log analysis, offline processing, and metrics generation.
- Strong communication and cross-functional collaboration skills.
- Preferred: 9+ years of relevant industry experience in perception systems, computer vision, robotics, or XR technologies.
- Preferred: M.Tech or MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related technical field.
- Preferred: experience with XR, AR/VR/MR, robotics, autonomous systems, ground-truth systems, or system-level validation strategy.
- Preferred: familiarity with GTSAM, Ceres, OpenCV, ROS, or similar libraries.
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