Be an early applicantLess than 25 applicants

Company

NVIDIA · 6 hours ago

Solutions Architect, Infrastructure - Research Computing

New York, United States

Full-time

Remote

Mid, Senior Level

$148K/yr - $230K/yr

5+ years exp

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Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

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Responsibilities

Technical advisor for the design, build-out, and optimization of university-level research computing infrastructures that include GPU-accelerated scientific workflows.

Work with university research computing to optimize hardware utilization with software orchestration tools such as NVIDIA Base Command, Kubernetes, Slurm, and Jupyter notebook environments.

Implement systems monitoring and telemetry tools to help optimize resource utilization, and track most demanding application workloads at research computing centers.

Document what you learn. This can include building targeted training, writing whitepapers, blogs, and wiki articles, and working through hard problems with a customer on a whiteboard.

Provide customer requirements and feedback to product and engineering teams.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

GPU-accelerated computingCluster orchestrationJob scheduling technologiesSystems monitoringTelemetryPerformance optimizationDatacenter networkingContainer toolsHigh-performance parallel file systemsOpenMPINCCLDebugging toolsProfiling tools

Required

MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science (or equivalent experience).

5+ years of relevant work experience.

Strong experience in designing and deploying GPU-accelerated computing infrastructure.

In-depth knowledge of cluster orchestration and job scheduling technologies, e.g. Slurm, Kubernetes, Ansible and/or Open OnDemand.

Experience with container tools (Docker, Singularity, Enroot/Pyxis) including at-scale deployment of containerized environments.

Expertise in systems monitoring, telemetry, and systems performance optimization of research computing environments.

Familiarity with tools like Prometheus, Grafana or NVIDIA DCGM.

Understanding of datacenter networking technologies (InfiniBand, Ethernet, OFED) and experience with network configuration.

Familiarity with power and cooling systems architecture for data center infrastructure.

Preferred

Experience in deploying LLM training and inference workflows in a research computing environment.

Experience working with technical computing customers in the academic research computing space.

Practical knowledge of high-performance parallel file systems.

Applications and systems-level knowledge of OpenMPI and NCCL.

Experience with debugging and profiling tools. E.g. Nsight Systems, Nsight Compute, Compute Sanitizer, GDB or Valgrind.

Benefits

Equity

Comprehensive benefits package

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10001+ employees

https://www.nvidia.com

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