Senior Solutions Architect, Higher Education and Research

NVIDIA
Reading, United Kingdom
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Collaboration","Communication","Analytical thinking","Organization","Self-motivation","Public speaking","Stakeholder management"]

Serve as a trusted technical advisor to research labs, university faculty, and application developers, partnering to drive joint AI and accelerated-computing research at supercomputing scale. Identify and enable high-impact workloads by integrating NVIDIA frameworks and software stacks, then deliver hands-on trainings, workshops, and demonstrations. Translate emerging research trends into prototypical solutions and feedback to NVIDIA Engineering while maintaining deep expertise across GPUs, CPUs, networking, and platform software.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Solutions Architect, Higher Education and Research

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Last checked: 8 hours agoStatus: Live

Job Summary

Serve as a trusted technical advisor to research labs, university faculty, and application developers, partnering to drive joint AI and accelerated-computing research at supercomputing scale. Identify and enable high-impact workloads by integrating NVIDIA frameworks and software stacks, then deliver hands-on trainings, workshops, and demonstrations. Translate emerging research trends into prototypical solutions and feedback to NVIDIA Engineering while maintaining deep expertise across GPUs, CPUs, networking, and platform software.
Location: Reading, United Kingdom
Workplace: Remote
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.
  • •Integrate NVIDIA frameworks, libraries, and core software stack into research projects to accelerate high-impact workloads.
  • •Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA platforms, mentoring power users to become NVIDIA champions.
  • •Track emerging research trends, identify gaps between researcher needs and NVIDIA offerings, and turn them into prototypical solutions and engineering feedback.
  • •Maintain deep platform expertise across GPUs, CPUs, networking, and software to support customer success.

Key Requirements

  • •Graduate degree in a STEM-related discipline.
  • •5+ years in multimodal and world model lifecycle on multi-node GPU systems, including curation, pre-/post-training, evaluation, and efficient inference.
  • •Strong collaboration and communication skills with academic and research stakeholders, explaining complex ideas to technical and non-technical audiences.
  • •Fluent English (oral and written) and comfortable working in Python.
  • •Action-oriented, analytical, self-motivated, organized, and able to manage a heavily multi-tasked environment.
Experience:5+ yearsMultimodal AIWorld modelsGPU systemsAI researchRobotics
Education:
Skills:CollaborationCommunicationAnalytical thinkingOrganizationSelf-motivationPublic speakingStakeholder management
Languages:English
Tech Stack:PythonGPUsCPUsCUDACUDA-XCosmosNeMo FrameworkMegatronIsaacNuRecTensorRTNIMMONAIMultimodal Nemotron methodology

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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