Engineer, Sr – Automotive Camera Customer Engineer
About The Position
Qualcomm Technologies, Inc. is seeking an engineer for its Global Automotive team, which develops optimized solutions for automotive infotainment, autonomous driving, ADAS, and robotics systems. The role spans the product lifecycle, from early research and development through commercial deployment, in a fast-paced environment involving cross-functional and globally distributed teams. The engineer will design, integrate, and validate embedded systems based on Qualcomm automotive infotainment, ADAS, and robotics SoCs and platforms. The role supports automotive OEMs, Tier-1 suppliers, robotics customers, and ecosystem partners with platform integration and deployment. It includes camera bring-up, image-quality tuning, multimedia integration, and performance optimization, as well as debugging and resolving system-level issues across camera sensors, ISP, multimedia pipelines, synchronization, stability, performance, and software integration. The position collaborates with customers, product owners, and domain and technology experts to define requirements and implement technical solutions. It also works closely with software, hardware, systems, and product teams to investigate customer-reported issues and produces technical documentation, integration guides, and troubleshooting materials.
Requirements
- At least 4 years of experience in embedded systems, automotive, camera, multimedia, robotics, or related domains.
- Strong proficiency in C/C++ programming and software architecture design.
- Familiarity with camera interfaces and protocols, including MIPI CSI-2, I2C, GPIO, V4L2, GMSL, FPD-Link, and SerDes technologies.
- Experience with embedded software development, integration, system bring-up, validation, debugging, and optimization of complex embedded systems, including development in compliance with standards such as ISO 26262 and ASPICE.
- Strong understanding of camera systems and architectures, Camera ISP, image processing, image quality, and video pipelines.
- Experience with camera sensor bring-up, sensor drivers, camera framework integration, and end-to-end camera software debugging.
- Experience with 3A algorithms (Auto Exposure, Auto Focus, and Auto White Balance), image-quality tuning, analysis, debugging, and optimization.
- Strong system-level understanding of camera and multimedia pipelines, including performance analysis, latency and bandwidth optimization, resource utilization analysis, and end-to-end system debugging.
- Experience with automotive camera systems, multi-camera architectures, camera and frame synchronization, video processing, and time-aligned data acquisition across heterogeneous sensing systems, including cameras, LiDAR, radar, IMU, and other ADAS or robotics perception sensors.
- Strong analytical, issue-triage, root-cause analysis, and problem-solving skills.
- Excellent written and verbal communication and customer engagement skills, and ability to work effectively in cross-functional, geographically distributed teams.
- Ability to adapt quickly to new technologies.
Nice To Haves
- Working knowledge of operating systems such as QNX, Linux, Android, and other RTOSs.
- Experience with Android Camera Framework, Camera HAL, Media Framework, IPC mechanisms, and Vehicle HAL interface.
- Knowledge of Linux device drivers, Embedded Linux, RTOS, process management, and memory management.
- Strong skills analyzing software and hardware performance on multicore architectures and understanding multicore fundamentals such as cores, caches, memory, buses, and PCIe.
- Experience using debugging tools such as JTAG, Trace32, and an oscilloscope or logic analyzer.
- Exposure to automotive, ADAS, and robotics product development.
- Exposure to hypervisors and virtualization.
- Experience with Qualcomm Snapdragon Automotive, ADAS, Robotics, Camera ISP, or Multimedia software stacks.
- Familiarity with computer vision, OpenCV, AI/ML frameworks, and image-processing applications for automotive and robotics systems.
Responsibilities
- Design, integrate, and validate embedded systems based on Qualcomm automotive infotainment, ADAS, and robotics SoCs and platforms.
- Collaborate with product owners, customers, and domain and technology experts to define requirements and implement technical solutions for customer programs.
- Support automotive OEMs, Tier-1 suppliers, robotics customers, and ecosystem partners in integrating and deploying solutions based on Qualcomm platforms.
- Debug and resolve system-level issues involving camera sensors, ISP, multimedia pipelines, synchronization, performance, stability, and software integration.
- Support camera bring-up, image-quality tuning, multimedia integration, and performance optimization on Qualcomm platforms.
- Work with software, hardware, systems, and product teams to analyze, debug, and resolve customer-reported issues.
- Develop technical documentation, integration guides, and troubleshooting materials to support customer development and deployment activities.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants, except for employees on sales-incentive plans.
- Competitive benefits package designed to support employees at work, at home, and at play.
- Reasonable accommodations during the application and hiring process and accessible workplace support for individuals with disabilities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
