Senior Solutions Architect, Higher Education and Research - Open Models and LLM

NVIDIA
London, Cambridge, Reading
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Collaboration","Communication","Analytical","Organization","Self-motivated","Passionate learner","Action-oriented"]

Partner with leading research labs and university faculty as a trusted technical advisor, helping drive joint research projects at supercomputing scale. Integrate NVIDIA frameworks, libraries, and core software into high-impact research workloads to accelerate LLM lifecycle outcomes. Deliver trainings, workshops, and technical demos across NVIDIA platforms, translate emerging research needs into prototypical solutions, and maintain broad expertise across GPUs, CPUs, networking, and software.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

âś“ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Partner with leading research labs and university faculty as a trusted technical advisor, helping drive joint research projects at supercomputing scale. Integrate NVIDIA frameworks, libraries, and core software into high-impact research workloads to accelerate LLM lifecycle outcomes. Deliver trainings, workshops, and technical demos across NVIDIA platforms, translate emerging research needs into prototypical solutions, and maintain broad expertise across GPUs, CPUs, networking, and software.
Location: London, Cambridge, Reading
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner directly with leading research labs, researchers, and university faculty to understand scientific goals and drive joint research 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 deep learning; deliver trainings, workshops, lectures, and demonstrations, and mentor power users.
  • •Track emerging research trends and turn gaps between researcher needs and NVIDIA offerings into prototypical solutions with feedback to NVIDIA Engineering.
  • •Maintain deep domain expertise while staying versatile across NVIDIA’s full platform, including GPUs, CPUs, networking, and software.
Travel: High travel

Key Requirements

  • •Graduate degree from a leading university in a STEM-related discipline.
  • •5+ years of hands-on experience running the large language model lifecycle across multi-node systems, including training, fine-tuning, inference, serving, and/or agentic workflows.
  • •PhD (preferred) from a leading university in a STEM-related discipline, with 3+ years of research on large language models or foundation models and their applications.
  • •Strong collaboration and communication skills with academic and research stakeholders, explaining complex ideas to expert and non-expert audiences.
  • •Fluent in English (oral and written) and comfortable working in Python.
Experience:5+ yearsAIHPCLarge language modelsDeep learningFoundation modelsAccelerated computingResearch
Education:
Skills:CollaborationCommunicationAnalyticalOrganizationSelf-motivatedPassionate learnerAction-oriented
Languages:English
Tech Stack:PythonLLMLarge language modelsFoundation modelsDeep LearningHPCGPUsCPUsNetworkingCUDACUDA-XNVIDIA AI EnterpriseNeMo FrameworkMegatron BridgeNIMTensorRT-LLMDynamoNeMo Agent ToolkitTriton Inference ServerNemotron

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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