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DTSTAMP:20260417T190002Z
LOCATION:West Building\, Exhibit Hall C
DTSTART;TZID=America/Los_Angeles:20250810T080000
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UID:siggraph_SIGGRAPH 2025_sess618_job_119@linklings.com
SUMMARY:Senior Solutions Architect - AI Infrastructure Engineer
DESCRIPTION:Are you an experienced systems architect with an interest in a
 dvancing artificial intelligence (AI) and high-performance computing (HPC)
  in academic and research environments? We are looking for a Solutions Arc
 hitect to join the higher education and research team! In this role you wi
 ll work with universities and research institutions to optimize the design
  and deployment of AI infrastructure. Our team applies expertise in accele
 rated software and hardware systems to help enable groundbreaking advancem
 ents in AI, deep learning, and scientific research. This role requires a s
 trong background in building and deploying research computing clusters, de
 ploying AI and HPC workloads, and optimizing system performance at scale.\
 n\nWhat you’ll be doing:\n\nCollaborate as a key technical advisor for the
  design, build-out, and optimization of university-level research computin
 g infrastructures powering GPU-accelerated scientific workflows\n\nWork wi
 th university research computing to optimize hardware utilization with sof
 tware orchestration tools such as NVIDIA Base Command, Kubernetes, Slurm, 
 and Jupyter notebook environments\n\nImplement systems monitoring and mana
 gement tools to help optimize resource utilization, and gain insight into 
 most demanding application workloads at research computing centers\n\nDocu
 ment what you learn. This can include building targeted training, writing 
 whitepapers, blogs, and wiki articles, and working through hard problems w
 ith a researcher on a whiteboard\n\nCollaborate with researchers to gather
  feature requests and product feedback for product and engineering teams\n
 \nWhat we need to see:\n\nBS/MS/PhD in Engineering, Mathematics, Physical 
 Sciences, or Computer Science (or equivalent experience).\n\n8+ years of r
 elevant work experience\n\nStrong experience in designing and deploying GP
 U-accelerated computing infrastructure\n\nIn-depth knowledge of cluster or
 chestration and job scheduling technologies, e.g. Slurm, Kubernetes, Ansib
 le and/or Open OnDemand\n\nExperience with container tools (Docker, Singul
 arity) including at-scale deployment of containerized environments\n\nExpe
 rtise in systems monitoring, telemetry, and systems performance optimizati
 on of research computing environments. Familiarity with tools such as Prom
 etheus, Grafana, and NVIDIA DCGM\n\nUnderstanding of datacenter networking
  technologies (InfiniBand, Ethernet, OFED) and experience with network con
 figuration\n\nFamiliarity with power and cooling systems architecture for 
 data center infrastructure\n\nWays to stand out from the crowd:\n\nBackgro
 und in deploying LLM training and inference workflows in a research comput
 ing environment\n\nExperience deploying and evaluating cluster performance
  using benchmarks such as MLPerf and/or HPL.\n\nExperience in delivering t
 echnical training, workshops, or mentoring researchers on using HPC/AI sys
 tems.\n\nApplications and systems-level knowledge of OpenMPI and NCCL\n\nE
 xperience with debugging and profiling tools. E.g. Nsight Systems, Nsight 
 Compute, Compute Sanitizer, GDB or Valgrind\n\nYour base salary will be de
 termined based on your location, experience, and the pay of employees in s
 imilar positions. The base salary range is 184,000 USD - 287,500 USD.\nYou
  will also be eligible for equity and benefits.\n\n\nNVIDIA is committed t
 o fostering a diverse work environment and proud to be an equal opportunit
 y employer. As we highly value diversity in our current and future employe
 es, we do not discriminate (including in our hiring and promotion practice
 s) on the basis of race, religion, color, national origin, gender, gender 
 expression, sexual orientation, age, marital status, veteran status, disab
 ility status or any other characteristic protected by law.\n\n
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