Computer Engineer - Linux/RTOS Systems (5-7 yrs)

About the job :

Job 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.

Qualifications :

- Hands-on experience with C/C++ on Linux and/or RTOS based systems.

- Master's Degree in 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.

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.