Senior Software Engineer

Our Client, an EV Manufacturing Company, is looking for a Senior Software Engineer for their Palo Alto, CA/Hybrid location. Want to apply Read all the information about this position below, then hit the apply button. Responsibilities: Identify, analyze, design, develop and debug system software for Camera/Imaging and Computer Vision features on Linux, QNX, and 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 and design tradeoffs required to deliver a 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. Requirements: 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 a 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. Why Should You Apply? Health Benefits Referral Program Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or expression, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws. #J-18808-Ljbffr

Created: 2025-01-07