Senior Solution Engineer, Mission Control

NVIDIA is looking for an engineer who wants the buzz of direct customer interaction, and the reward of contributing to software and products. We want the right person to join our team of Solution Engineers working on the NVIDIA Mission Control, which automates the operations of AI Factories.  We need an expert engineer to triage customer software issues and resolve customer problems. You must have excellent problem-solving abilities and communication experience and be able to work on multiple projects and tasks. You must be strong in Linux, have solid programming skills, and possess experience working with containers and related technologies such as Kubernetes.  Experience analyzing the distributed GPU-accelerated workload performance is a plus.

What you'll be doing:

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

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

• Create/update product and/or support tools.

• Own and drive customer issues from inception to resolution.

• Document customer interactions and better enhance our knowledge base.

• Work with the latest hardware (e.g. GPUs, AI accelerators, high-speed interconnects) and software technologies such as parallel filesystems (e.g. Lustre, GPFS, WekaIO), Jupyter, and various ML frameworks and tools, Spark, Kubernetes, and Ceph

• 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.

• Expertise analyzing, optimizing, and customizing Linux environments for AI/ML workloads.

• Strong container orchestration/job scheduling experience on compute clusters, especially with Kubernetes

• Professional-level communication experience, able to adjust to the technical level of the audience, and stay calm and focused in negative situations.

• Excellent follow-up and organizational skills, with a 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/job scheduling experience with knowledge of Docker and/or Kubernetes and/or Slurm, 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++