Solutions Architect – Graduate Program

NVIDIA

Solutions Architect engaging customers in AI and technical challenges, providing NVIDIA-powered solutions. Joining the team after a graduate program rotation to become an expert in NVIDIA technologies.

Posted 8/2/2026full-timeMunich • 🇩🇪 GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning, Deep Learning, and AI, with proficiency in programming languages such as Python and C/C++. Capable of engaging with customers to design tailored solutions and drive the adoption of NVIDIA technologies through hands-on workshops and proof-of-concept implementations.

Highest-signal resume keywords

Machine LearningDeep LearningNVIDIA Hardware and SoftwarePython ProgrammingGPU Programming

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningPython ProgrammingC/C++ ProgrammingHigh-Performance ComputingData Science3D VisualizationDigital TwinCUDAAI Frameworks

Soft Skills

CollaborationInterpersonal SkillsAnalytical ThinkingCustomer EngagementCommunication

Industry Keywords

AI SolutionsProof-of-ConceptTechnical AdvisorProduct AdoptionCustomer Needs

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Engage with customers in academia and industry to understand their technical environment & challenges, design tailored NVIDIA-powered solutions that address their needs and demonstrate value , and gain hands-on field experience through customer visits and on-site engagements across EMEA.
Be the catalyst driving the adoption and scaling of cutting-edge AI solutions by delivering hands-on workshops, demonstrations, and training sessions using NVIDIA hardware and software , empowering users to become NVIDIA champions.
Take ownership of proof-of-concept implementations that showcase NVIDIA's capabilities in real customer environments, driving product adoption through technical evaluation, documentation, and handoff into production IT infrastructures.
Collaborate with Sales Account Managers ; Developer Relations Managers and Customers as a trusted technical advisor, helping large enterprises understand the value of NVIDIA and painting the vision for how they can successfully integrate and deploy our solutions , and securing design wins.
Identify gaps between customer needs and NVIDIA's current offerings, propose and develop prototypical solutions, and communicate requirements directly to NVIDIA Engineering , turning front-line field insights into product improvements that shape our roadmap.

Requirements

What you’ll need

Newly graduating with a MS (or equivalent degree) in Computer Science, Engineering, or related field.
Coursework in Machine Learning, High-Performance Computing, Deep Learning & AI, Data Science or Visual Computing.
Skilled in 1 or more programming languages (Python, C/C++, etc.).
Self-driven and analytical, with a natural curiosity for customer problems and the confidence to engage both technical and business audiences.
Strong collaboration and interpersonal skills, ability to explain technical trade-offs clearly to both technical and non-technical audiences , fluent in English both oral and written.
Passion for continuous learning and knowledge transfer.
Experience with Deep Learning frameworks , AI harnesses , GPU programming ( e.g. CUDA ) and/or 3D ( i.e. 3D Visualization, Digital Twin, Physical AI concepts and tools).

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options