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

NVIDIA
Munich, Germany
Full timeFunction: Solutions Engineering & Sales EngineeringEducation: mastersSkills: ["Collaboration","Communication","Organization","Analytical thinking","Self-motivation"]

Partner with leading research labs, universities, and faculty as a trusted technical advisor to drive joint AI and HPC research projects at supercomputing scale. Identify and accelerate high-impact scientific workloads by integrating NVIDIA frameworks, libraries, and core software stacks, and share results through publications, conferences, workshops, and trainings. Stay on top of emerging trends, prototype solutions bridging researcher needs to NVIDIA engineering, and support NVIDIA platforms across GPUs, CPUs, networking, and software.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

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

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Partner with leading research labs, universities, and faculty as a trusted technical advisor to drive joint AI and HPC research projects at supercomputing scale. Identify and accelerate high-impact scientific workloads by integrating NVIDIA frameworks, libraries, and core software stacks, and share results through publications, conferences, workshops, and trainings. Stay on top of emerging trends, prototype solutions bridging researcher needs to NVIDIA engineering, and support NVIDIA platforms across GPUs, CPUs, networking, and software.
Location: Munich, Germany
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with research labs, researchers, and university faculty as a trusted technical advisor 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 and enable researchers to amplify impact.
  • •Advocate for accelerated computing and AI methods for scientific discovery by delivering trainings, workshops, lectures, demonstrations, and mentoring power users.
  • •Track emerging research trends and translate gaps between researcher needs and NVIDIA offerings into prototypical solutions and feedback to NVIDIA engineering.
  • •Maintain deep domain expertise while staying versatile across NVIDIA’s platforms including GPUs, CPUs, networking, and software.
Travel: Low travel

Key Requirements

  • •Graduate degree in a STEM discipline (or equivalent experience).
  • •5+ years working 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 academic and research stakeholders, and the ability to communicate clearly to both expert and non-expert audiences.
  • •Action-oriented, analytical, self-motivated, and a passionate learner with excellent organization skills.
  • •Fluency in English (oral and written) and comfort working in Python.
Experience:HPCAIMachine learningScientific computingResearch
Education:Master's
Skills:CollaborationCommunicationOrganizationAnalytical thinkingSelf-motivation
Languages:English
Tech Stack:AIHPCHigh-performance computingScientific computingMachine learningGPUsCPUsNetworkingPythonCUDACUDA-XPhysicsNeMoWarpCuEquivarianceALCHEMIOmniverseMulti-node GPU systems

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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