Senior Solution Engineer, AI Enterprise

at Nvidia
📍 Santa Clara, United States
USD 136,000-264,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Kubernetes @ 4 Linux @ 7 Python @ 6 TensorFlow @ 4 Hiring @ 4 Communication @ 4 Parallel Programming @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 1

Details

NVIDIA is looking for an engineer who wants the excitement of direct customer interaction, and the reward of contributing to software and products, to join our team of Solution Engineers working on the NVIDIA AI Enterprise product line! You will be working directly with customers to get them solutions on the latest NVIDIA hardware including the GB200. You will triage customers' AI/ML workloads in huge datacenters of rack-scale GB200s, resolve customer problems, and contribute to products and support software. You must have excellent problem-solving abilities and communication skills and be able to work on multiple projects and tasks. Strong technical skills in Linux, solid programming ability, and experience working with AI technologies are required. Experience analyzing software performance of distributed GPU-accelerated workloads is a plus.

Responsibilities

  • Provide direct support to NVIDIA Enterprise customers, answering questions and resolving customer issues.
  • Work with engineering teams on customer issues by providing logs, reproduction information, and triage details.
  • Create or update product and/or support tools.
  • Take ownership of and drive customer issues from inception to resolution.
  • Document customer interactions to enhance the knowledge base.
  • Develop features and tools to support AI Enterprise technologies.
  • Occasionally work on weekends and holidays to support customers.

Requirements

  • Minimum BS in Computer Science, Electrical Engineering, or equivalent experience.
  • At least 5+ years engineering experience with a proven track record in AI/ML focused projects or enterprise-grade solutions.
  • Solid understanding of Linux with ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
  • Strong AI/ML expertise.
  • Professional communication skills suited to technical audiences.
  • Excellent follow-up, organizational skills, and passion for problem solving.
  • Proficient in Python programming, able to develop scripts and build custom tools.
  • Experience with parallel programming or GPU acceleration (e.g., CUDA) highly desirable.

Preferred Qualifications

  • Experience with chatbots, RAG pipelines, vector databases, distributed training or inference workloads.
  • Development experience in GPU accelerated, cloud, or virtualized environments.
  • Containerized solutions experience with Docker/Kubernetes.
  • Experience analyzing software performance of distributed workloads.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience developing with C/C++.

Benefits

  • Base salary range: 136,000 USD - 264,500 USD, based on location, experience, and market data.
  • Eligibility for equity and benefits.
  • NVIDIA values diversity and is an equal opportunity employer committed to inclusive hiring practices.