Engineer, Staff – Automotive Camera Customer Engineer

Qualcomm•Detroit, MI

4d•$122,200 - $183,200

About The Position

Qualcomm Technologies, Inc. is seeking an engineer for its Global Automotive team, which develops solutions for automotive infotainment, autonomous driving, ADAS, and robotics. Work 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 role focuses on designing, integrating, validating, and supporting embedded camera systems built on Qualcomm automotive, ADAS, and robotics SoCs and platforms. The engineer collaborates with product owners, customers, and technical experts to define requirements and deliver customer solutions; supports OEMs, Tier-1 suppliers, robotics customers, and ecosystem partners; and investigates system-level camera and multimedia issues. Work also includes camera bring-up, image quality tuning, integration, performance optimization, and creating technical documentation and troubleshooting materials.

Requirements

At least 8 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 developing, integrating, bringing up, validating, debugging, and optimizing complex embedded systems, including development compliant 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, Auto White Balance), image quality tuning, analysis, debugging, and optimization.
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 such as Cameras, LiDAR, Radar, and IMU.
Strong analytical, issue triage, root cause analysis, and problem-solving skills.
Excellent written and verbal communication and customer engagement skills, with the ability to work effectively across cross-functional and geographically distributed teams.
Ability to adapt quickly to new technologies.
Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field and 4+ years of relevant experience; or a master’s degree in one of these fields and 3+ years; or a PhD in one of these fields and 2+ years.
At least 2 years of experience with a programming language such as C, C++, Java, or Python.
At least 1 year of experience with debugging techniques.

Nice To Haves

Working knowledge of 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.
Skills analyzing software and hardware performance on multicore architectures, with understanding of cores, cache, memory, bus, and PCIe fundamentals.
Experience using debugging tools such as JTAG, Trace32, 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 with integration and deployment of Qualcomm-platform solutions.
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 for customer development and deployment activities.