Engineer, Sr – Automotive Camera Customer Engineer
Technology, Data & Digital · Software & Web Development · Embedded Systems · Software Engineering
In short
Qualcomm is looking for a Senior Engineer to join their Global Automotive team in Santa Clara, CA. This role involves designing, integrating, and validating embedded systems for Automotive Infotainment, ADAS, and Robotics platforms, requiring strong C/C++ skills and experience with camera systems and automotive standards.
Responsibilities
- Design, integration, and validation of embedded systems based on Qualcomm's Automotive Infotainment, ADAS, and Robotics SoCs and platforms.
- Collaborate with product owners, customers, and domain/technology experts to define requirements and implement technical solutions for customer programs.
- Support Automotive OEMs, Tier-1s, Robotics customers, and ecosystem partners in the integration and deployment of solutions based on Qualcomm platforms.
- Debug and resolve system-level issues involving camera sensors, ISP, multimedia pipelines, synchronization, performance, stability, and software integration.
- Support cameras bring-up, image quality tuning, multimedia integration, and performance optimization on Qualcomm platforms.
- Work closely 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.
Requirements
- 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 industry standards such as ISO 26262 and ASPICE.
- Strong understanding of camera systems, camera architectures, Camera ISP, image processing, image quality (IQ), 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.
- Strong system-level understanding of camera and multimedia pipelines, with experience in performance analysis, latency optimization, bandwidth optimization, resource utilization analysis, and end-to-end system debugging.
- Experience with automotive camera systems, multi-camera architectures, camera synchronization, 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 communication skills (written and verbal), strong customer engagement skills, and the ability to work effectively in cross-functional and geographically distributed teams.
- Quick adaptability to work with new technologies.
Desired Qualifications
- 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 & Memory Management.
- Strong skills in analyzing performance of software/hardware solutions on multi-core architectures; understanding of multi-core architecture fundamentals (core, cache, memory, bus, PCIe, etc.).
- Experience using debugging tools such as JTAG, Trace32, and oscilloscope/logic analyzer.
- Exposure to Automotive, ADAS, and Robotics product development.
- Exposure to Hypervisors and Virtualization.
- Experience working 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.
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package designed to support your success at work, at home, and at play
- Review more details about our US benefits at this link
Skills
CC++JavaPythonMIPI CSI-2I2CGPIOV4L2GMSLFPD-LinkSerDes technologiesISO 26262ASPICEQNXLinuxAndroidRTOSJTAGTrace32oscilloscopelogic analyzerOpenCV
#Automotive#Camera#Customer Engineer#Embedded Systems#Software Engineering#Qualcomm
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
3 days ago
Employment Type
Full Time
Work mode
On Site
Salary
US$125,400–188,200 / year
Experience Level
Senior
Locations
Santa Clara, United States of America
Qualification
Undergraduate
Applicants
Be an early applicant
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