Solutions Architect, Generative AI

at Nvidia
📍 Santa Clara, United States
USD 148,000-235,800 per year
MIDDLE SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Kubernetes @ 3 Linux @ 6 Python @ 6 Machine Learning @ 3 Data Science @ 3 TensorFlow @ 5 Bash @ 6 Communication @ 6 Mathematics @ 3 Microservices @ 3 Debugging @ 6 API @ 3 PyTorch @ 5 GPU @ 3

Details

We are looking for a Solution Architect or Data Scientist to join the NVIDIA AI Enterprise (NVAIE) SA Segment team. The team specializes in the newest technology and advances in Machine Learning, Deep Learning, Generative AI, and Cloud. The goal is to guide and enable the successful adoption of NVIDIA AI Enterprise Software at data center scale.

Responsibilities

  • Develop end-to-end Generative AI solutions for enterprise use cases.
  • Help customers adopt NVIDIA AI SDKs and APIs by providing deep technical expertise and designing GPU-accelerated pipelines to optimize compute resource utilization and workload performance.
  • Build solutions using Machine Learning and Deep Learning technologies including language and multimodal models, information retrieval, domain customization, reasoning, inferencing, agentic systems, and other Generative AI workloads.
  • Build reference architectures to deploy and optimize workloads at scale across industries.
  • Improve NVIDIA products and create solutions to overcome scaling challenges.
  • Share expert knowledge with internal teams and communities, contributing to product engineering and hands-on training.

Requirements

  • BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or equivalent experience.
  • 5+ years of experience in Deep Learning and Machine Learning; expertise with GPUs and deep learning frameworks like TensorFlow or PyTorch.
  • Strong coding development and debugging skills, including Python, C/C++, Bash, and Linux.
  • Experience in developing large-scale Generative AI applications such as information retrieval, model pre- and post-training, pipeline evaluation, inference optimization, guard-railing, agents, and reasoning systems.
  • Experience with cluster orchestration tools including Docker, Kubernetes, and SLURM in cloud and on-premise environments.
  • Expertise in optimizing AI training and inference workloads over high-performance networks including Ethernet and InfiniBand.
  • Ability to learn fast and adapt to change.
  • Strong written and oral communication skills for effective collaboration with executives and engineering teams.

Ways to Stand Out

  • Proven expertise and hands-on experience with NVIDIA AI products including NIM, Nemo Retriever, Nemo Microservices, and Nemo Framework.
  • Expertise in NVIDIA Spectrum-X.
  • Experience with NVIDIA Collective Communication Library (NCCL).
  • Extensive engineering and customer experience on multi-collaborator projects.
  • Willingness and ability to explore unfamiliar territories to solve complex problems based on previous experience.

Benefits

  • Base salary range: 148,000 USD - 235,750 USD depending on location, experience, and peer compensation.
  • Eligible for equity and benefits provided by NVIDIA.
  • Ongoing application acceptance.

NVIDIA is an equal opportunity employer committed to fostering a diverse and inclusive work environment.