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Solution Architect – Continuous Bring Up
Company | NVIDIA |
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Location | Santa Clara, CA, USA |
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Salary | $104000 – $189750 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Entry Level/New Grad |
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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