What are the responsibilities and job description for the Senior Software Engineer position at InDepth Engineering Solutions, LLC?
Identify analyze design develop and debug system software for Camera / Imagingand 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 crossfunctional 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 openminded constantly dive into innovative technologies and embrace the ambiguity of complex problem solving.
Qualifications
Handson 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 (SPII2C 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.
Requirements
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 safetycritical systems.
Experience with AI SDKs and building systems on edge devices
Track record of innovative thinking as evidenced by patents and peerreviewed Publications.
7 years of hands on experience with camera, video or media application development in Java / Android or C
Experience with building advanced camera, video or computer vision applications in collaboration with UI designer , OpenGL and OpenCL, media APIs such as Vulkan, Android Camera 2, MediaCode,UI framework, IPC, OpenGL and OpenCL, infrastructures tools like Git, Gerrit and Gradle
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