Our client, a well-known electric vehicle company is urgently looking to hire a Senior Software Engineer to join their team on a hybrid schedule Palo Alto, CA.
** This is a 12+ month contract on W2 offering a full benefits package with the potential to extend or convert**
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.
