Sr. Staff, Software Engineer Lead Inferencing Middleware
Lucid Motors
The Role:
Drive the concept design, prototyping, engineering, testing, release and launch of a cutting edge compute platform for Autonomous Driving
Work closely with other teams to ensure a seamless and robust implementation
Employ and develop world class tools. Invent and create new technologies and solutions
Demonstrate effective communication skills
Qualifications:
5+ years of demonstrated experience as a visionary, yet detail oriented automotive software engineer
Knowledge and experience on ADAS and/or Autonomous Driving systems
Programming on GPUs with CUDA and/or OpenCL
C++ programming experience
Experience in creating robust and efficient system architectures and complex hardware-software systems
Experience developing middleware platform solutions
Experience in component and system integration, testing and verification on system and vehicle level
Experience developing in Linux/QNX or similar operating systems
Education:
Bachelors Degree in the areas of Computer Engineering, Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering or other related fields.
Advanced degree preferred.
Drive the concept design, prototyping, engineering, testing, release and launch of a cutting edge compute platform for Autonomous Driving
Work closely with other teams to ensure a seamless and robust implementation
Employ and develop world class tools. Invent and create new technologies and solutions
Demonstrate effective communication skills
Qualifications:
5+ years of demonstrated experience as a visionary, yet detail oriented automotive software engineer
Knowledge and experience on ADAS and/or Autonomous Driving systems
Programming on GPUs with CUDA and/or OpenCL
C++ programming experience
Experience in creating robust and efficient system architectures and complex hardware-software systems
Experience developing middleware platform solutions
Experience in component and system integration, testing and verification on system and vehicle level
Experience developing in Linux/QNX or similar operating systems
Education:
Bachelors Degree in the areas of Computer Engineering, Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering or other related fields.
Advanced degree preferred.
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