eTeam
Principal Software Engineer Camera Systems Imaging
eTeam, Palo Alto, California, United States, 94306
Job Description
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 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. 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. Company Description eTeam was formed in 1999 with the goal of becoming the supplier of choice for clients, employees and contingent workers. Today, we’re one of the fastest-growing companies in New Jersey and ranked as one of the best companies to work for by Staffing Industry Analysts and New Jersey Business. We’re also an honored member of Deloitte’s Technology Fast 50. eTeam provides high-volume staffing, SOW and payrolling services to structured contingent workforce programs and projects across the U.S., Canada and India. We also offer contract-to-hire and direct placement. Our “No-Sell, Service-Only” approach has resulted in “Accelerated Hires,” lower costs, reduced risks and better service for Fortune 2000 Companies, Large System Integrators and Government Agencies.
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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 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. 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. Company Description eTeam was formed in 1999 with the goal of becoming the supplier of choice for clients, employees and contingent workers. Today, we’re one of the fastest-growing companies in New Jersey and ranked as one of the best companies to work for by Staffing Industry Analysts and New Jersey Business. We’re also an honored member of Deloitte’s Technology Fast 50. eTeam provides high-volume staffing, SOW and payrolling services to structured contingent workforce programs and projects across the U.S., Canada and India. We also offer contract-to-hire and direct placement. Our “No-Sell, Service-Only” approach has resulted in “Accelerated Hires,” lower costs, reduced risks and better service for Fortune 2000 Companies, Large System Integrators and Government Agencies.
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