Job Title - Staff Software Engineer, Imaging and AI Systems (This is not a software developer role-please read the role details before applying)

This role is hybrid- 2 times per week on average at location on req.

Schedule: M-F; (avg 8 hours per day) 8-5/9-6

Role Summary

The Intelligent Camera, Imaging and Vision team takes the capability of best-in class camera sensors and delivers rich features for great user experiences and services. In this role, you will be a part of software development and testing for cameras, vision algorithms, performance software on state-of-the art compute platforms, and validation to the actual product.

Qualifications

• Hands-on experience with C/C++ on Linux and/or RTOS based systems.
• Master's Degree in Electronics, Computer Engineering or Computer Science.
• Exceptional candidates with Bachelor's degree in Computer Science and relevant work experience will also be considered.
• Experience with optimizing code across various compute engines and heterogeneous computing ( CPU / GPU / DSP / etc)
• Experience with best in class Engineering practices, technical documentation, design/architecting, and code reviews.
• Experience with software update strategy for development and mass production phases including but not limited to OTA SW updates, factory SW updates, recovery SW updates, secure SW updates, etc.
• Experience with one or more HAL architectures (preferably Camera HAL)
• Familiarity with HW bring up, MIPI / CSI drivers, V4L2 drivers, SerDes drivers would be a positive.
• Good understanding and hands on experience with interface protocol stacks (SPI,I2C, Ethernet).
• Deep understanding of the camera processing pipeline from a systems level, including ISP, sensors, SerDes, power management, etc.
• Familiar with RTOS kernel (Threadx or QNX), IPC, kernel and user space driver model.

Responsibilities

• Identify, analyze, design, develop and debug system software for Camera/Imaging and Computer Vision features on Linux, QNX Android systems.
• Deliver quality code, debug complex problems, prioritize and get things done with a high level of efficiency and urgency.
• Collaborate with cross-functional teams across multiple engineering and algorithms teams, making the architectural, design tradeoffs required to deliver scalable end to end software stack across various compute engines.
• Stay open-minded, constantly dive into innovative technologies, and embrace the ambiguity of complex problem solving.

Preferred Qualifications:

• PhD in EE/Computer Science with relevant emphasis in image processing, graphics and/or Artificial Intelligence
• Experience with automotive surround view systems/use cases along with their optimized implementation on GPUs using OpenGL/Vulkan/OpenCL APIs.
• Background in the automotive industry or experience with safety-critical systems.
• Experience with AI SDKs and building systems on edge devices
• Track record of innovative thinking as evidenced by patents and peer-reviewed Publications.