Expoint – all jobs in one place
Finding the best job has never been easier
Limitless High-tech career opportunities - Expoint

Nvidia Senior Solution Engineer AI Enterprise 
United States, Texas 
331365130

02.07.2025
US, CA, Santa Clara
US, MA, Westford
US, NC, Durham
US, NY, New York
time type
Full time
posted on
Posted 30+ Days Ago
job requisition id

What you'll be doing:

  • Provide direct support to our NVIDIA Enterprise customers and work to answer questions, reproduce, resolve, or advance customer issues.

  • Work with engineering teams on customer issues, providing logs, reproduction information, and other triage information.

  • Create/update product and/or support tools.

  • Take ownership and drive customer issues from inception to resolution.

  • Document customer interactions and better enhance our knowledge base.

  • Develop features and tools as part of solution engineering efforts to support AI Enterprise technologies

  • Occasional work on weekends and holidays to support customers

What we need to see:

  • Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.

  • At least 5+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.

  • Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.

  • Strong AI/ML expertise.

  • Professional-level communication skills, including adjusting communication to the technical level of the audience, and stay calm and focused in negative situations.

  • Excellent follow-up and organizational skills, with a passion or love for solving problems.

  • Proficient in Python programming with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is highly desirable.

Ways to stand out from the crowd:

  • Experience with Chatbots, RAG pipelines, vector databases, distributed training or inference workloads

  • Experience developing in GPU accelerated / cloud / virtualized environments

  • Containerized solutions experience with knowledge of Docker and/or Kubernetes, and/or experience analyzing software performance of distributed workloads

  • Experience with common deep learning frameworks such as PyTorch or TensorFlow

  • Experience developing with C/C++

You will also be eligible for equity and .