Engineer to Lead - XR Perception Systems (SLAM, Robotics, Computer Vision)
Qualcomm · Bengaluru · 1–10 yrs experience · Posted 2026-07-28
Tech stack: Python
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About the role
Qualcomm India Private Limited
Engineering Group, Engineering Group > Software Engineering
Responsibilities: - At Qualcomm XR Research, we develop state-of-the-art perception technologies that power next-generation AR/VR/MR experiences.
- We are looking for an experienced engineer(s) to evaluate
- analyze, and improve perception systems including SLAM, visual-inertial odometry, localization, mapping, and multi-sensor fusion technologies.
- The role sits at the intersection of computer vision, robotics, sensor fusion, data science, and system evaluation.
- This role is ideal for candidates with backgrounds in SLAM, robotics, autonomous systems, computer vision, localization, sensor fusion, or applied mathematics who enjoy solving challenging real-world problems using data and analytical techniques.
- Perception & Algorithm Validation
- Develop evaluation methodologies for SLAM, visual-inertial localization, and multi-sensor perception systems.
- Analyze large-scale datasets to characterize algorithm performance, robustness, and failure modes.
- Design quantitative metrics and KPIs for perception quality, tracking stability, drift, re-localization, and robustness.
- Build scalable tools and automation frameworks for perception evaluation.
- Collaborate with stakeholders to diagnose perception failures and accelerate algorithm improvements.
- Required Skills & Qualifications
- Strong foundation in mathematics (linear algebra, geometry, probability, optimization).
- Strong proficiency in Python for automation, analysis, and tooling.
- Solid understanding of SLAM algorithms and perception pipelines.
- Strong knowledge of sensor calibration (camera, IMU, multi‑sensor systems).
- Experience with large log analysis, offline processing, and metrics generation.
- Strong communication skills, with the ability to explain complex technical issues clearly.
- Proven ability to work across teams and support stakeholder debugging needs.
- 1 to 10 Years of relevant experience
- Industry experience in perception systems, computer vision, robotics, or XR technologies.
- M.Tech / MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related technical field.
- Experience with XR, AR/VR/MR, robotics, or autonomous systems.
- Familiarity with tools such as GTSAM, Ceres, OpenCV, ROS, or similar libraries.
- Experience with ground‑truth systems (motion capture, GNSS, fiducials).
- Experience influencing validation strategy at a system or org level.
Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Responsibilities
- At Qualcomm XR Research, we develop state-of-the-art perception technologies that power next-generation AR/VR/MR experiences.
- We are looking for an experienced engineer(s) to evaluate
- analyze, and improve perception systems including SLAM, visual-inertial odometry, localization, mapping, and multi-sensor fusion technologies.
- The role sits at the intersection of computer vision, robotics, sensor fusion, data science, and system evaluation.
- This role is ideal for candidates with backgrounds in SLAM, robotics, autonomous systems, computer vision, localization, sensor fusion, or applied mathematics who enjoy solving challenging real-world problems using data and analytical techniques.
- Perception & Algorithm Validation
- Develop evaluation methodologies for SLAM, visual-inertial localization, and multi-sensor perception systems.
- Analyze large-scale datasets to characterize algorithm performance, robustness, and failure modes.
- Design quantitative metrics and KPIs for perception quality, tracking stability, drift, re-localization, and robustness.
- Build scalable tools and automation frameworks for perception evaluation.
- Collaborate with stakeholders to diagnose perception failures and accelerate algorithm improvements.
- Required Skills & Qualifications
- Strong foundation in mathematics (linear algebra, geometry, probability, optimization).
- Strong proficiency in Python for automation, analysis, and tooling.
- Solid understanding of SLAM algorithms and perception pipelines.
- Strong knowledge of sensor calibration (camera, IMU, multi‑sensor systems).
- Experience with large log analysis, offline processing, and metrics generation.
- Strong communication skills, with the ability to explain complex technical issues clearly.
- Proven ability to work across teams and support stakeholder debugging needs.
- 1 to 10 Years of relevant experience
- Industry experience in perception systems, computer vision, robotics, or XR technologies.
- M.Tech / MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related technical field.
- Experience with XR, AR/VR/MR, robotics, or autonomous systems.
- Familiarity with tools such as GTSAM, Ceres, OpenCV, ROS, or similar libraries.
- Experience with ground‑truth systems (motion capture, GNSS, fiducials).
- Experience influencing validation strategy at a system or org level.