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ADAS HW Validation Engineer

Company: Rivian Automotive
Location: Palo Alto
Posted on: November 25, 2022

Job Description:

Role Summary
In this position within Platform Architecture team, you will work closely with Software, Hardware, System, and SOC groups to drive definition and refinement of next generation ADAS/AD systems, with the focus on validating and optimizing machine learning solutions on autonomous vehicles, build up validation and benchmark framework to identify gaps and risks at component, module, system and vehicle levels, and drive hardware architecture decision making. This is a hybrid software / hardware role towards a leadership position that requires a system hardware and software background, and the necessary machine learning background to support these activities. You will collaborate cross-functionally with hardware design and software application teams to accomplish this work, and thereby drive direction of next generation hardware architectures, as well as motivate optimization of current generation platforms.
Responsibilities


  • Build a prototyping system for next-gen machine learning solution using FPGA. Use such system to characterize and optimize from component-level to system-level performance and critical functions, and to de-risk and sign off before production. This includes developing and integrating necessary functional blocks and data pipelines on FPGA, utilizing commercial prototyping platforms, and working with cross-functional teams on the bring-up and integration of such platform.
  • With cross discipline collaboration, define, implement, benchmark and prototype forward-looking hardware and software systems to validate and benchmark next generation ADAS/AD architecture, with the focus on machine learning, identify gaps and improvements on Neural Network based perception function and performance towards design goals and optimal cost efficiency
  • Perform other duties as required or assigned within the scope of the position

    Qualifications

    • MS/PhD in Electrical Engineering, Computer Science, or relevant field
    • 10+ years of working experience in relevant field
    • Expertise or prior work experience in following areas: Deep learning, Neural Network model benchmarking, design and validation on FPGA
    • Experience in analyzing performance of complex hardware and software systems
    • Experience in developing embedded platforms in C/C++
    • Excellent analytical skills, written and verbal communication skills, and s strong team player

Keywords: Rivian Automotive, Palo Alto , ADAS HW Validation Engineer, Engineering , Palo Alto, California

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