XR System Test Engineer

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Job Area:

General Summary:

We are looking for a highly motivated System Integration and Test Engineer to validate and automate testing of multi-media features for next-generation XR, wearable, and mobile platforms. The role involves developing validation strategies, designing test methodologies, building automation frameworks, and analyzing performance, and quality KPIs across audio, camera, sensor, AI, and connectivity features running on low-power subsystems. The candidate will work with software, AI, hardware, and system teams to ensure robust, scalable, and power-efficient always-on experiences.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Minimum Qualifications:

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.

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