Solutions Architect, Graduate Program

NVIDIA is looking for a Solutions Architect to join its graduate program. As a new college graduate, you will be teamed up with experienced Solution Architects for on-the-job training, working as part of a team supporting customers building solutions with NVIDIA's newest software and hardware platforms.

You will spend up to 16 months rotating through customer-facing teams supporting different industries such as healthcare, retail, automotive, robotics, etc. In the process, you will have the opportunity to become a specialist in NVIDIA's enterprise products as well as developer software platforms such as NVIDIA AI Enterprise, CUDA-X, and Omniverse.

Responsibilities:

• Engage with customers in academia and industry to understand their technical environment and 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:

• 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.

Nice to Have:

• 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).
• Passion for accelerated computing, skills in profiling, analyzing, and optimizing code, and/or understanding of system architecture and operations in 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.