Solutions Architect, Graduate Program

• 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   g ain 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   a nd 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.

• 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 harne sses ,   GPU programming ( e.g.   CUDA )   and/or 3D ( i.e.   3D Visualization, Digital Twin, Physical AI concepts and tools).   • Passion for accelerated computing,   skills in profiling,   analyzing   and optimizing code , and/or u nderstanding of system architecture and operations inc.   distributed and cloud computing, networking, filesystems, virtualization ( e.g.   Docker),   system   and   workload management ( e.g.   Slurm , Kubernetes), etc.   • Outstanding verbal and written communication skills, and an enthusiastic presentation style.     The NCG program is designed to launch your career at full speed   —giving   you real responsibility,   deep mentorship, and the breadth of experience to find where you truly thrive. If   you're   ready to grow fast and   work on problems that are shaping the future of AI, we want to hear from you.   Applications must include a resume ( Lebenslauf   auf Englisch) and a statement of grades ( aktueller   Notenauszug   der   letzten   2 Jahre); incomplete applications will not be considered.   All MS graduation   requirements must   complete   in 2026 and the candidate available to start at NVIDIA by January 2027 .   The candidate must have   a   working permit for the target location.