Continuous Bring Up Solution Architect

1 Month ago • 1 Years + • Artificial Intelligence

Job Summary

Job Description

NVIDIA is seeking a Continuous Bring Up Solution Architect to support customer-facing teams. Responsibilities include setting up experiments and tests, partnering with Build and Program Management teams for AI Factory deliveries, establishing strong customer relationships, collaborating with internal teams, presenting platform solutions, and proactively identifying critical customer issues. This role requires expertise in data center infrastructure, data science, and programming languages like Python, C++, or Rust. Experience with AI/ML applications, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and HPC clusters is highly desirable. Potential for rotation assignments with program management or engineering teams, with up to 15% travel.
Must have:
  • Bachelor's degree in relevant engineering
  • 1+ years data center infrastructure experience
  • Data science/ML/DL knowledge
  • Strong programming skills (Python, C++, etc.)
  • Problem-solving & communication skills
Good to have:
  • AI/ML application experience
  • TensorFlow/PyTorch/CUDA experience
  • Docker/Kubernetes/Slurm experience
  • Cloud platform experience (AWS, Azure, GCP)
  • System/networking/storage experience

Job Details

We are hiring a Solution Architect Student to customer-facing teams supporting different technical areas such as IB/ETH networking, DPU, Cloud infrastructure DevOps, HPC/AI workloads, and customer success. In the process, you will have the opportunity to become a specialist in our enterprise products including the DGX/HGX systems, and networking DPUs and switches, as well as our developer software platforms including NVIDIA Omniverse, NVIDIA HPC and NVIDIA AI. It may also be possible to rotate with our program management or engineering teams. Are you ready for the challenge?

What you’ll be doing:

  • Be responsible for the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using NVIDIA technologies
  • Partner with Build and Program Management teams to support AI Factory deliveries globally.
  • Establish close technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of customer issues
  • Work closely and collaborate with the NVIDIA customer account team, other Solution Architects, and/or product engineering teams during quarterly rotation assignments
  • You will raise and provide timely advance warning of critical customer issues that require additional attention
  • Present platform solutions to customers, partners, community, etc.
  • Some rotation assignments might require up to 15% travel

What we need to see:

  • Bachelor’s in computer science/electrical/mechanical engineering.
  • 1+ years of experience in data center infrastructure.
  • Knowledge in Data Sciences, Deep Learning, or Machine Learning
  • Strong programming skills in one or more high-level languages Python, C, C++, Rust, etc
  • Motivated self-starter with an equal balance of strong problem-solving skills and strong customer-facing communication skills including presenting
  • Strong collaboration and interpersonal skills
  • Passion for continuous learning, knowledge transfer and working in a dynamic environment without losing focus

Ways to stand out from the crowd:

  • Background with working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing or other GPU related technologies including using TensorFlow, PyTorch, DL frameworks or CUDA
  • Experience working with Docker, Kubernetes or slurm both on-prem and cloud-based infrastructure including HPC or AI supercomputer clusters
  • System, networking and storage hardware, software and administrative experience
  • Exposure to cloud service platforms such as AWS, Azure, GCP or OCI through coursework or through certification programs

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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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