Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
Staff Engineer – HWL Camera Software (IoT)
Role Overview
We are seeking a highly skilled and experienced Staff Engineer to join the HWL (Hardware Layer) Camera Software team within the IoT Business Unit. This role focuses on developing and optimizing embedded camera software for IoT and edge camera platforms, including smart cameras, industrial vision, and connected devices.
The ideal candidate brings deep technical expertise in camera driver development, embedded systems, and image processing, along with strong debugging, performance optimization, and system-level design skills.
Key Responsibilities
- Design and develop embedded software for camera subsystems on IoT platforms.
- Implement and optimize camera drivers and HWL components, including V4L2 and HAL layers.
- Work closely with global cross‑functional teams and external customers to develop features and resolve complex issues.
- Drive power, performance, and latency optimization for camera pipelines in always‑on and edge‑constrained environments.
- Develop and maintain unit test frameworks, validation tools, and regression tests for camera software.
- Provide technical leadership and mentorship to junior and senior engineers.
- Support customer engagements, including occasional onsite or virtual support for integration and issue resolution.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electronics, or a related field.
- 9+ years of experience in embedded software development.
- Strong proficiency in C/C++, with excellent debugging and problem‑solving skills.
- In‑depth understanding of operating system fundamentals, including memory management, threading, and scheduling.
- Experience with RTOS, memory/cache systems, and interrupt handling.
- Hands‑on experience with camera sensors, image processing pipelines, and camera frameworks.
- Familiarity with Yocto, Linux kernel, and camera frameworks (e.g., V4L2, platform‑specific HALs).
- Proven ability to debug complex real‑time issues such as memory corruption, race conditions, deadlocks, and performance bottlenecks.
Preferred Skills
- Experience with camera sensor bring‑up, 3A algorithms, and image quality (IQ) tuning.
- Knowledge of unit testing frameworks such as GoogleTest or CPPTest.
- Exposure to SoC architecture, camera pipelines, and memory subsystems.
- Strong communication skills and the ability to collaborate across geographically distributed teams.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
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.
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