Engineer to Lead - XR Perception Systems (SLAM, Robotics, Computer Vision)

Qualcomm; Bengaluru; On-site; INR 1,500,000 - 4,000,000; Full time

Job summary

Qualcomm India Private Limited in Bengaluru seeks an experienced engineer to evaluate and improve perception systems, focusing on SLAM, visual-inertial localization, and multi-sensor fusion.

You will develop evaluation methodologies, build automation tools, and quantify performance metrics while collaborating with cross-functional teams to accelerate algorithm improvements in XR research.

Qualifications

• Strong foundation in linear algebra, geometry, probability and optimization.
• Proficient in Python for automation, analysis and tooling.
• Solid understanding of SLAM algorithms and perception pipelines.
• Experience with large log analysis, offline processing and metrics generation.
• Excellent communication and ability to work across teams.

Responsibilities

• Develop evaluation methodologies for SLAM 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 and re-localization.
• Build scalable tools and automation frameworks for perception evaluation.
• Collaborate with stakeholders to diagnose perception failures and accelerate algorithm improvements.

Skills

Mathematics

Python

SLAM

Localization

Sensor calibration

Log analysis

Communication

Cross-team collaboration

Education

Bachelor's degree in Engineering/CS/related field

M.Tech / MS in CS/Robotics/Applied Math

Tools

GTSAM

Ceres

OpenCV

ROS

Job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

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.

Key Responsibilities

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.

Preferred

• 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.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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