Senior Solutions Architect, Higher Education and Research, AI and HPC

NVIDIA
Munich, Germany
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Collaboration","Communication","Analytical","Self-motivated","Organization"]

Serve as a trusted technical advisor for research labs and university stakeholders, driving NVIDIA technology adoption for AI and HPC at supercomputing scale. Integrate NVIDIA frameworks, libraries, and software stack to accelerate high-impact scientific workloads, and translate emerging research needs into prototypical solutions and feedback for Engineering. Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA platforms, maintaining deep domain expertise while staying versatile across GPUs, CPUs, networking, and software.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Solutions Architect, Higher Education and Research, AI and HPC

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Serve as a trusted technical advisor for research labs and university stakeholders, driving NVIDIA technology adoption for AI and HPC at supercomputing scale. Integrate NVIDIA frameworks, libraries, and software stack to accelerate high-impact scientific workloads, and translate emerging research needs into prototypical solutions and feedback for Engineering. Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA platforms, maintaining deep domain expertise while staying versatile across GPUs, CPUs, networking, and software.
Location: Munich, Germany
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with research labs, researchers, and university faculty to understand scientific goals and drive joint research projects at supercomputing scale.
  • •Identify and accelerate high-impact workloads by integrating NVIDIA frameworks, libraries, and core software stack into research projects.
  • •Advocate for accelerated computing and AI methods for scientific discovery; deliver trainings, workshops, lectures, demonstrations, and mentor power users.
  • •Track emerging research trends and convert gaps between researcher needs and NVIDIA offerings into prototypical solutions and feedback for NVIDIA Engineering.
  • •Maintain deep domain expertise while staying versatile across GPUs, CPUs, networking, and software.

Key Requirements

  • •Graduate degree in a STEM discipline (or equivalent experience).
  • •5+ years at the intersection of HPC and AI, running scientific workloads at scale on multi-node GPU systems and applying machine learning to the same problems.
  • •Strong collaboration and communication skills with the ability to engage academic and research stakeholders and explain complex ideas to expert and non-expert audiences.
  • •Action-oriented, analytical, self-motivated, and organized, able to work effectively in a heavily multi-tasked environment.
  • •Fluency in English (oral and written) and comfort working in Python.
Experience:5+ yearsHPCAIScientific computingResearchSupercomputing
Education:Master's
Skills:CollaborationCommunicationAnalyticalSelf-motivatedOrganization
Languages:English
Tech Stack:PythonGPUsCPUsNetworkingCUDACUDA-XPhysicsNeMoWarpCuEquivarianceALCHEMIOmniverse

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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