We are now looking for a robotics expert to join NVIDIA China Solution Architect team, to engage and support robotics partners and customers. NVIDIA is the world leader in GPU accelerated computing company. As a Solution Architect, you'll collaborate with the sales team to support robotics partners and customers, including hardware and software solution providers. You'll establish relationships with top customers, solve engineering problems, and help customers to build a successful NVIDIA practice.
What you'll be doing:
- Assist field business development in guiding the customer through the sales process for NVIDIA robotics solution.
- Working with robotics customers, understanding requirements, and leading the directions from simulation and training to deployment.
- Develop innovative HW, GPU and system architectures to extend the state of the art in machine Learning performance and efficiency.
- Presenting NVIDIA's robotics stack, and end to end platform to customers and partners. With in-depth hands-on engagement with customers or NVIDIA partners on complicated robotics projects
- Understand and 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.
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What we need to see:
- BS, MS, or PhD. Experience with compute vision, GPUs, Linux, CUDA, DL, ML
- Strong academic background in Computer or Electrical Engineering, Computer Science, or related degree
- 3+ years of work-related experience in software development or testing, CUDA or compute vision experience highly desirable.
- Strong expertise in python and Linux.
- Familiar with LLM optimization and deployments.
- Excellent communication and planning skills, while being self-motivated with a focus on execution and quality
Ways to stand out from the crowd:
- Strong background and project experience in robotics simulation, LLM training and Inference.
- With in depth knowledge and experience in one or more industry areas like: Auto, Manufacture, Retail, Healthcare.
- Strong background project experience in machine learning or compute vision algorithm.