Staff Engineer – Perception System Validation (XR Technologies)

Qualcomm; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Qualcomm is seeking a Staff Engineer in Bengaluru to lead the validation of perception systems for XR technologies. This role involves validating algorithms, designing test strategies, and performing in-depth analysis. Candidates should have a strong math background and expertise in Python to support cross-functional teams.

The ideal applicant will have significant experience in perception systems and a relevant degree, with a strong understanding of SLAM algorithms and sensor calibration.

Qualifications

• Strong foundation in mathematics with knowledge of 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 and metrics generation.

Responsibilities

• Validate SLAM and other algorithms across XR use cases.
• Design validation strategies covering accuracy, robustness, and failure modes.
• Evaluate performance across sensors and configurations.
• Define and evolve perception KPIs.

Skills

Mathematics (linear algebra, geometry, probability, optimization)

Python proficiency

Understanding of SLAM algorithms

Sensor calibration knowledge

Experience with log analysis and metrics

Communication skills

Cross-team collaboration skills

Education

Bachelor's degree in Engineering or related field

Master's degree in Engineering or related field

PhD in Engineering or related field

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 XR technologies that enable exceptional AR/VR/MR user experiences.

Role Overview

We are looking for a Staff Engineer to own and drive validation of perception systems for XR (AR/VR/MR) technologies. This role focuses on validating SLAM and other perception algorithms, defining meaningful KPIs, building scalable test automation, and performing deep failure analysis. The role requires strong mathematical fundamentals, hands‐on Python expertise, and the ability to communicate technical issues clearly to senior leadership and cross‑functional stakeholders.

Key Responsibilities

• Validate SLAM (visual / visual‑inertial / multi‑sensor) and other algorithms across XR use cases.
• Design scenario‑driven validation strategies covering accuracy, robustness, stability, and failure modes.
• Evaluate performance across sensors, calibrations, environments, and system configurations.
• Define and evolve perception KPIs (pose accuracy, drift, stability/jitter, robustness, reconstruction quality).
• Perform mathematical and statistical analysis of logs, trajectories, and 3D outputs.
• Identify and implement automation opportunities to improve test coverage, repeatability, and efficiency.
• Perform preliminary root‑cause analysis of perception failures and regressions.
• Support algorithm and system teams with actionable debugging insights.

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

• 9+ years of relevant 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 and 4+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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 disability‑[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).