Solutions Architect, Graduate Program

NVIDIA
France
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: mastersSkills: ["Self-driven","Analytical","Collaboration","Communication","Continuous learning"]

Join a rotation program where you’ll train alongside experienced Solution Architects while supporting customers with NVIDIA software and hardware platforms. Over up to 16 months, you’ll work across customer-facing teams and industries, deliver workshops and demos, lead proof-of-concept implementations, and help drive AI solution adoption. You’ll collaborate with Sales, Developer Relations, and customers as a trusted technical advisor and turn field insights into product improvements.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Solutions Architect, Graduate Program

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Last checked: 2 hours agoStatus: Live

Job Summary

Join a rotation program where you’ll train alongside experienced Solution Architects while supporting customers with NVIDIA software and hardware platforms. Over up to 16 months, you’ll work across customer-facing teams and industries, deliver workshops and demos, lead proof-of-concept implementations, and help drive AI solution adoption. You’ll collaborate with Sales, Developer Relations, and customers as a trusted technical advisor and turn field insights into product improvements.
Location: France
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Graduate level

Key Responsibilities

  • •Engage with customers in academia and industry to understand technical environments and challenges, then design NVIDIA-powered solutions that demonstrate value.
  • •Deliver hands-on workshops, demonstrations, and training sessions to drive adoption and scaling of AI solutions using NVIDIA hardware and software.
  • •Own proof-of-concept implementations, performing technical evaluation, documentation, and handoff into production IT infrastructures.
  • •Collaborate with Sales Account Managers, Developer Relations Managers, and customers as a trusted technical advisor to support integration and secure design wins.
  • •Identify gaps between customer needs and current offerings, propose prototypical solutions, and communicate requirements to NVIDIA Engineering to influence the roadmap.
Travel: Medium travel

Key Requirements

  • •Newly graduating with an MS (or equivalent) in Computer Science, Engineering, or a related field.
  • •Coursework in Machine Learning, High-Performance Computing, Deep Learning & AI, Data Science, or Visual Computing.
  • •Skilled in one or more programming languages including Python and/or C/C++.
  • •Self-driven and analytical, with confidence to engage both technical and business audiences.
  • •Strong collaboration and interpersonal skills, including explaining technical trade-offs and fluency in English (oral and written).
Education:Master's in Computer Science, Engineering (or related field)
Skills:Self-drivenAnalyticalCollaborationCommunicationContinuous learning
Languages:English
Tech Stack:PythonC/C++Machine LearningHigh-Performance ComputingDeep LearningAIData ScienceVisual ComputingNVIDIA AI EnterpriseCUDA-XOmniverseCUDADeep Learning frameworksDockerSlurmKubernetes

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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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