Senior/Staff Software Engineer, Runtime

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  "location": {
    "raw": "Santa Clara, CA",
    "city": "Santa Clara",
    "region": "CA",
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{
  "lists": [
    {
      "text": "Responsibilities:",
      "content": "\n<li>Work closely with our autonomy and runtime teams to improve our redundant on-vehicle platform and autonomous software stack.</li>\n<li>Develop perspectives on where opportunities and gaps might be in our redundant software and hardware strategy with a longer-term horizon in mind</li>\n<li>Integrate and optimize performance and robustness of different autonomous software component into redundant on-vehicle platform.</li>\n<li>Design and develop fault detection and fault handling strategies for redundant on-vehicle platform.</li>\n<li>Design and develop validation strategies for redundant on-vehicle platform, including on vehicle testing, Sil and HiL simulation testing.</li>\n<li>Evaluate, integrate and optimize partner middleware into our AD stackOwns or help with driverless operation key features, like mission control, tele assist, etc.</li>\n<li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li>\n<li>Ensure team compliance with QMS, monitor quality, and drive process improvements.</li>\n"
    },
    {
      "text": "Required Skills: ",
      "content": "\n<li>Minimum 5+ years of professional experience</li>\n<li>&nbsp;MS or PhD in Computer Science or related field</li>\n<li>Strong programming skills in C++ and Python</li>\n<li>Basic understanding of computer vision and deep learning models</li>\n<li>Hands-on experience of high performance IPC / middleware stack</li>\n<li>Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)</li>\n<li>Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models.</li>\n<li>Ability to quickly learn and adapt to new technology</li>\n<li>Ability to work on large code bases and a fast growing environment</li>\n<li>Strong communication skills</li>\n<li>Familiar with Linux system and basic kernel tuning, network tuning, device tree tuning, timesync, etc.</li>\n<li>Comfortable with On-vehicle troubleshooting and performance profiling</li>\n"
    },
    {
      "text": "Preferred Skills",
      "content": "\n<li>Experience with CV pipeline and model inference on edge platforms</li>\n<li>Experience with ROS2 and DDS</li>\n<li>Experience with automotive HPC SoCs (Nvidia preferred)</li>\n<li>Experience with QNX</li>\n"
    }
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  "country": "US",
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    "team": "Runtime Platform",
    "location": "Santa Clara, CA",
    "commitment": "Full-time",
    "department": "US Research and Development",
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