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Senior Solution Engineer – AI Enterprise

Senior Solution Engineer – AI Enterprise

CompanyNVIDIA
LocationSanta Clara, CA, USA, Durham, NC, USA, Westford, MA, USA, New York, NY, USA
Salary$136000 – $264500
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • 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.

Responsibilities

  • 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.

Preferred Qualifications

  • 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++