Senior Solution Engineer, AI Enterprise

at Nvidia
📍 Santa Clara, United States
USD 168,000-322,000 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

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

Details

NVIDIA is looking for an engineer who thrives at the intersection of innovative technology and real-world customer applications to join the Solution Engineers team supporting the NVIDIA AI Enterprise product line. In this role you will work directly with customers to deliver solutions on the latest NVIDIA hardware including the GB200. You will triage datacenter-scale AI/ML workloads, resolve customer issues, contribute to products and support software, and lead strategic projects.

Responsibilities

  • Directly support NVIDIA’s Enterprise customers: answer questions, reproduce, resolve, or advance customer issues.
  • Collaborate with multiple engineering teams on customer issues to drive root-cause analysis and deliver real solutions.
  • Contribute to product and support improvements through code, debugging, design feedback, or tools that accelerate issue resolution.
  • Own and drive customer issues from inception to resolution.
  • Document customer interactions to enrich the knowledge base and improve support effectiveness.
  • Mentor early-career engineers and help them become successful Solution Engineers.
  • Define new standard methodologies, streamline cross-team collaboration, and take ownership of leading projects and people.
  • Occasional work on weekends and holidays to support customers.

Requirements

  • Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.
  • At least 8 years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions, including at least 5 years leading engineering teams.
  • Deep understanding of Linux and the ability to analyze, optimize, and customize Linux environments for AI/ML workloads.
  • Strong expertise in AI/ML training and inference, with experience deploying models at scale and applying them to real-world use cases such as chatbots, RAG pipelines, and vector search.
  • Experience with common deep learning frameworks such as PyTorch or TensorFlow.
  • Exceptional communication skills; able to tailor technical depth to any audience and remain calm under pressure.
  • Organized, execution-focused, strong follow-through, and passionate about solving complex problems.
  • Proficient in Python and C/C++ programming, with experience contributing to large existing projects and building new tooling.
  • Experience building and deploying containerized solutions using Docker, Kubernetes, or Slurm.

Ways to stand out

  • Background with parallel programming or GPU acceleration (e.g., CUDA).
  • Experience developing in GPU-accelerated, cloud, or virtualized environments.
  • Experience analyzing software performance of distributed workloads.
  • Familiarity with clustering or HPC datacenter technologies including Upper Layer Protocols (NCCL, MPI).

Compensation & Other Details

  • Base salary is determined based on location, experience, and pay of employees in similar positions.
    • Level 4 base salary range: 168,000 USD - 264,500 USD.
    • Level 5 base salary range: 200,000 USD - 322,000 USD.
  • Eligible for equity and benefits.
  • Applications will be accepted at least until August 8, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on characteristics protected by law.