Senior Solutions Architect, Generative Ai Deployment And Aiops

NVIDIA

Base: 184,000 usd - 287,500 usd; bonus/equity: eli...
Not specified (assumed hybrid based on typical tech roles at nvidia)
Deep learning frameworks pytorch tensorflow
Python programming optimization software design
Gpu orchestration multi-instance gpu management kubernetes
NVIDIA is looking for a Senior Solutions Architect to support clients in deploying solutions utilizing their advanced AI technologies, particularly in Generative AI and AIOps. The ideal candidate will possess extensive experience in deep learning frameworks, strong programming skills, and a collaborative mindset to work with diverse teams

Job Summary

  • This role involves partnering with customers to define high-value solutions using NVIDIA's latest Accelerated Computing and Deep Learning platforms.
  • The successful candidate will analyze performance and power efficiency of AI inference workloads specifically within Kubernetes environments.
  • Candidates must possess strong fundamentals in Python programming and extensive experience with GPU technologies for Generative AI and LLMs.

Matching Summary

Match Score: 85

NVIDIA is looking for a Senior Solutions Architect to support clients in deploying solutions utilizing their advanced AI technologies, particularly in Generative AI and AIOps. The ideal candidate will possess extensive experience in deep learning frameworks, strong programming skills, and a collaborative mindset to work with diverse teams.

Salary

Base: 184,000 USD - 287,500 USD; Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • Deep Learning frameworks PyTorch TensorFlow
  • Python programming optimization software design
  • GPU orchestration Multi-Instance GPU management Kubernetes
  • LLM and DL inference theory practice
  • Generative AI Large Language Models experience

Nice-to-have

  • DL training at scale production deployment
  • NVIDIA NIM Dynamo TensorRT libraries
  • C/C++ debugging profiling code optimization
  • Parallel programming distributed computing platforms
  • Excellent presentation communication collaboration skills

Key Requirements

  • BS, MS, or PhD in Computer Science or related Engineering field
  • 8+ years hands-on experience with Deep Learning frameworks
  • Experience with containerization monitoring and observability for AI deployments

Work Rights

Not specified

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