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Nvidia Solutions Architect - New College Graduate 
France, Ile-de-France 
561874874

Today
France, Courbevoie
time type
Full time
posted on
Posted 13 Days Ago
job requisition id

What you will be doing:

  • Interact with end-users in academia and industry, develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs.

  • Demonstrate accelerated computing and AI workflows, deliver trainings using NVIDIA hardware and software, and enable users to be NVIDIA champions e.g. Deep Learning Institute (DLI) Ambassadors.

  • Partner with Sales Account Managers or Developer Relations Managers to secure design wins, assist in technical conversations and support our products under customer evaluation and towards integration into IT infrastructures.

  • Identify gaps, propose and develop prototypical solutions, communicate customer requirements to NVIDIA Engineering to foster product improvements.

  • Some rotation assignments require travel and customer visits.

What we need to see:

  • 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.).

  • Action-oriented with strong analytical skills.

  • Self-motivated, able to work independently with minimal supervision.

  • Strong collaboration and interpersonal skills, ability to communicate effectively with customers, fluent in English both oral and written.

  • Passion for continuous learning and knowledge transfer

  • Passion for accelerated computing.

  • Skilled at profiling, analyzing, optimizing code

Ways to stand out from the crowd:

  • Experience with Deep Learning frameworks (e.g. PyTorch), GPU programming (e.g. CUDA) and/or 3D (i.e. 3D Visualization, Digital Twin, Physical AI concepts and tools).

  • Understanding of system architecture and operations inc. Distributed, and cloud computing, networking, filesystems, virtualization (e.g. Docker), system and workload management (e.g.Kubernetes), etc.

  • Outstanding verbal and written communication skills, and an enthusiastic presentation style.