Robust Robotics Solutions Specialist

1 month ago


Beijing, Beijing, China NVIDIA Full time

We are seeking a skilled robotics expert to collaborate with our China Solution Architect team at NVIDIA, supporting partners and customers across the globe. As a seasoned Solution Architect, you will play a crucial role in guiding sales teams, establishing relationships with top customers, and developing innovative hardware and software architectures to drive machine learning performance and efficiency.

About Us:

  • NVIDIA is the world leader in GPU-accelerated computing.

Job Responsibilities:

  • Collaborate with field business development to support robotics partners and customers through the sales process for NVIDIA's robotics solutions.
  • Work closely with robotics customers to understand requirements and lead directions from simulation and training to deployment.
  • Develop cutting-edge hardware, GPU, and system architectures to extend the state of the art in machine learning performance and efficiency.
  • Presentation of NVIDIA's robotics stack and end-to-end platform to customers and partners, with in-depth hands-on engagement on complicated robotics projects.
  • Analyze the interplay of hardware and software architectures on future algorithms and applications.
  • Collaborate across the company to guide the direction of robotics implementations, working with software, research, and product teams.

Requirements:

  • BS, MS, or PhD degree in Computer or Electrical Engineering, Computer Science, or related field.
  • 3+ years of experience in software development or testing, with CUDA or computer vision experience highly desirable.
  • Strong expertise in Python and Linux.
  • Familiarity with LLM optimization and deployments.
  • Excellent communication and planning skills, with a focus on execution and quality.

What We Offer:

  • A competitive salary range of $120,000 - $180,000 per year, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • Ongoing training and professional development opportunities.

How to Stand Out:

  • Strong background and project experience in robotics simulation, LLM training, and inference.
  • In-depth knowledge and experience in one or more industry areas, such as Auto, Manufacture, Retail, or Healthcare.
  • Strong background project experience in machine learning or compute vision algorithms.


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