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Solution Architect – Continuous Bring Up

Solution Architect – Continuous Bring Up

CompanyNVIDIA
LocationSanta Clara, CA, USA
Salary$104000 – $189750
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelEntry Level/New Grad

Requirements

  • Recent completion of Bachelors or Master’s degree in Computer Science/Electrical/Mechanical Engineering or equivalent experience
  • Data Sciences, Deep Learning, or Machine Learning coursework
  • 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

Responsibilities

  • 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

Preferred Qualifications

  • 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