NVIDIA

Senior Solution Architect – AI Development

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: Singapore

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Job Level

Senior

Tech Stack

CloudDockerPythonPyTorch

About the role

  • Drive the implementation and deployment of NVIDIA Inference Microservice (NIM) solutions
  • Apply NVIDIA NIM Factory Pipeline to package optimized models (including LLM, VLM, Retriever, CV, OCR, etc.) into containers, providing standardized API access for on-prem or cloud deployment
  • Refine NIM tools for the community, aiding them in building high-performing NIMs
  • Build and implement agentic AI tailored to customer business scenarios using NIMs
  • Deliver technical projects, demos, and client support tasks as directed by the Solution Architecture Leadership
  • Provide technical support and mentorship to customers, facilitating the adoption and implementation of NVIDIA technologies and products
  • Collaborate with multi-functional teams to develop and broaden our AI solutions portfolio
  • Be an internal advocate for NVIDIA software and total solutions within the technical community by incorporating NVIDIA technology, especially inference services, into LHA, business partners, and the broader community
  • Assist in supporting the NVAIE team and driving NVAIE business in China.

Requirements

  • 5+ years of experience
  • Bachelor's or equivalent experience in Computer Science, Artificial Intelligence, or a relevant field
  • Proven experience in deploying and optimizing large language models
  • Proficiency in at least one inference framework (e.g., TensorRT, ONNX Runtime, PyTorch)
  • Strong programming skills in Python or C++
  • Familiarity with mainstream inference engines (e.g., vLLM, SGLang)
  • Experience with DevOps/MLOps, including Docker, Git, and CI/CD practices
  • Excellent problem-solving skills and the ability to solve complex technical issues
  • Proven ability to collaborate effectively across diverse, global teams, adapting communication styles while maintaining clear, constructive professional interactions
  • Experience in architectural build for field LLM project
  • Expertise in model optimization techniques, particularly using TensorRT
  • Knowledge of AI workflow development and implementation, and experience with cluster resource management tools.
  • Familiarity with agile development methodologies
  • CUDA optimization experience and extensive experience in crafting and deploying large-scale HPC and enterprise computing systems.
Benefits
  • NVIDIA leads the computing future, guided by our dedication to innovation and quality.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
NVIDIA Inference Microservicelarge language modelsinference frameworkTensorRTONNX RuntimePyTorchDevOpsMLOpsDockerCUDA optimization
Soft Skills
problem-solvingcollaborationcommunication