XR System Test Engineer

Overview

Validate and automate testing of multimedia features for next-generation XR, wearable, and mobile platforms. Develop validation strategies, test methodologies, automation frameworks, and performance and quality KPI analysis across audio, camera, sensor, AI, and connectivity features running on low-power subsystems.

What you'll do

• Design, develop, and execute validation plans for low-power subsystems.
• Define test strategies covering audio, sensor, display, connectivity, and AI inference pipelines.
• Create comprehensive test matrices covering functional, performance, stress, and stability scenarios.
• Build and maintain automated test frameworks for LPAI feature validation.
• Integrate automated tests into CI/CD and continuous validation pipelines.
• Develop dashboards and automated reporting solutions.
• Analyze logs, traces, telemetry, and sensor data and debug failures.
• Collaborate with development teams to root cause issues and drive resolutions.
• Partner with software, hardware, AI/ML, and system teams.

What you'll need

• Bachelor's or master’s degree in computer science, Electronics, Electrical Engineering, Robotics, or related field.
• 2-5 years of experience in system testing, validation, or automation.
• Strong Python programming skills.
• Experience with test automation frameworks.
• Knowledge of Linux and Android environments.
• Understanding of software testing methodologies and defect lifecycle management.
• Experience working with logs, traces, and debugging tools.
• Strong analytical and problem-solving skills.
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience, or Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience, or PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Nice to have

• Experience validating embedded, DSP, XR, mobile, or AI systems.
• Knowledge of sensor technologies such as IMU, Camera, and GNSS.
• Experience with AI/ML validation and model benchmarking.
• Familiarity with Qualcomm DSP, Hexagon, LPAI, or low-power subsystems.
• Knowledge of power measurement tools and methodologies.
• Experience with test infrastructure, robotics, motion rigs, or automated lab setups.
• Exposure to KPI generation, dashboarding, and large-scale dataset analysis.

Details

• Location: Bangalore, India.