Solution Architect - Auto

5 Months ago • 4 Years + • Devops

Job Summary

Job Description

NVIDIA seeks Solution Architects to provide technical leadership and support for its autonomous driving platform. Responsibilities include serving as the primary technical contact for customers, resolving critical issues, collaborating with sales and engineering teams, and building strong customer relationships. The ideal candidate possesses expertise in datacenter design, DevOps, cloud software development, high-performance computing, and ideally CUDA. Deep learning software architecture, parallel computing algorithms, and GPU computing experience are highly valued. This role requires strong analytical and problem-solving skills and the ability to effectively manage multiple tasks in a fast-paced environment.
Must have:
  • MS/PhD in relevant field or equivalent experience
  • 4+ years experience in relevant fields
  • Technical support for hardware/software
  • Expertise in NVIDIA products
  • Strong analytical and problem-solving skills
Good to have:
  • CUDA experience
  • Deep Learning/AI experience
  • Cloud development/deployment experience
  • GPU development experience
  • Advanced degree

Job Details

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world.

We are looking for solutions architects, who are experts, trusted technical advisors and leaders to our partners and customers, that believe deep learning, data science, and artificial intelligence will transform autonomous driving. We need individuals who can enable customer productivity, develop positive relationships with our technology partners and collaborate with architecture and software teams to develop the best solutions for partners working on our platform. NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these challenging opportunities in Autonomous Driving.

What you'll be doing:

  • First and primary point of technical support for our hardware and software products provided to customer

  • Shepherd critical customer issues and provide timely advance warning of critical issues that need attention

  • Technical authority on all NVIDIA products, directly supporting Sales Account Managers, and working closely with the team to secure design wins

  • Establish close personal technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of issues, and promote the highest levels of customer satisfaction

What we need to see:

  • MS or PhD in Engineering, Mathematics, Physics, or Computer Science, or equivalent experience

  • 4+ years of work-related experience in Datacenter design, DevOps, Cloud software development or high-performance computing or systems, CUDA experience is helpful

  • Additional experience in a related field such as HPC systems design, AI/ML Infrastructure optimization, Building systems for mission-critical applications, Enterprise Datacenter experience

  • Good to have experience with modern Deep Learning software architecture and frameworks and parallel computing algorithms

  • Exposure to GPU Computing and CUDA programming

  • Ability to multitask effectively in a multifaceted environment

  • Strong analytical and problem-solving skills

Ways to stand out from the crowd:

  • GPU development experience

  • Deep Learning and/or AI experience

  • Cloud development/deployment experience

  • In-depth software development or data science experience

  • Advanced degree

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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