Solutions Architect, Graduate Program

NVIDIA; Courbevoie; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

NVIDIA has a 16-month rotation program for new graduates, pairing you with experienced Solutions Architects to support customers building solutions with our software and hardware. You will rotate through customer-facing teams across EMEA, becoming a domain specialist in NVIDIA technologies and joining a Solutions Architect team in a chosen area.

youll engage with developers, data scientists and leaders, delivering workshops, demonstrations, and proofs-of-concept to showcase NVIDIA capabilities

Qualifications

• Newly graduating with an MS in Computer Science, Engineering, or a related field.
• Coursework in ML, HPC, DL & AI, Data Science or Visual Computing.
• Proficient in Python and C/C++ or similar languages.
• Self-driven, analytical, with strong collaboration skills and fluency in English.
• Passion for continuous learning and knowledge transfer.

Responsabilités

• Engage with academia and industry to understand environments and design NVIDIA-powered solutions.
• Lead hands-on workshops, demos and training using NVIDIA hardware and software.
• Own proof-of-concept implementations and drive product adoption in real environments.
• Collaborate with Sales, Developer Relations and customers as a trusted advisor.
• Identify gaps and communicate requirements to NVIDIAEngineering for roadmap input.

Connaissances

Python

C/C++

Analytical

Communication

Formation

MS in CS/Engineering

Outils

Docker

CUDA

Kubernetes

Slurm

Description du poste

NVIDIA has been redefining computer graphics and accelerated computing for three decades.Today,we'retapping into the unlimited potential of AI to define the next era of computing. Doingwhat'sneverbeen done before takes vision, innovation, and the world's best talent.

As a new college graduate, our rotation programwill team you up with experienced SolutionArchitects for on-the-job training as you work as part of a team supporting customers buildingsolutions with our newest software and hardware platforms. A Solutions Architect is the first line oftechnicalexpertisebetween NVIDIA and our partners and customers. You will dynamically engagewith developers, data scientists, scientific researchers,ITand senior leaders.

You will spend up to 16 months rotating through customer-facing teams supporting differentindustries such ashealthcare,retail, automotive, robotics, etc. In the process, youwill have the opportunity to become a specialist in our enterprise products as well as our developersoftware platforms such as NVIDIA AI Enterprise, CUDA-X and Omniverse. You may also be able torotate with otherdepartments at NVIDIA. At the end of the program, you will have become a domainspecialist on at least one NVIDIA technology and will join a team as a Solution Architect in an areaof your choosing.

What you will be doing:

• Engage with customers in academia and industry to understandtheir technical environment&challenges, design tailored NVIDIA-poweredsolutions that address their needs and demonstratevalue, andgain hands-on field experience through customer visits and on-site engagements across EMEA.
• Be the catalyst driving the adoption and scaling ofcutting-edgeAIsolutions by delivering hands-on workshops, demonstrations, and training sessions using NVIDIAhardware and software,empowering users to become NVIDIA champions.
• Take ownership of proof-of-concept implementations thatshowcaseNVIDIA's capabilities in real customer environments, drivingproduct adoptionthrough technical evaluation, documentation, and handoff into production IT infrastructures.
• Collaborate with Sales Account Managers;Developer RelationsManagersand Customersas a trusted technical advisor, helping large enterprises understand the value ofNVIDIA and painting the vision for how they can successfully integrate and deploy our solutions,andsecuring design wins.
• Identifygaps between customer needs and NVIDIA's current offerings,propose and develop prototypical solutions, and communicate requirements directly to NVIDIAEngineering,turning front-line field insights into product improvements that shape ourroadmap.

What we need to see:

• Newly graduating with a MS (or equivalent degree) in Computer Science, Engineering, orrelated field.
• Coursework in Machine Learning, High-Performance Computing, Deep Learning & AI, DataScience 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 toengage both technical and business audiences.
• Strong collaboration and interpersonal skills, ability toexplain technical trade-offsclearlyto both technical and non-technical audiences,fluent in English both oral and written.
• Passion for continuous learning and knowledge transfer.

Ways to stand out from the crowd:

• 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,analyzingand optimizing code, and/or understanding of system architecture and operations inc.distributed and cloud computing, networking, filesystems, virtualization (e.g.Docker),systemandworkload 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—givingyou real responsibility,deep mentorship, and the breadth of experience to find where you truly thrive. Ifyou'reready to grow fast andwork on problems that are shaping the future of AI, we want to hear from you.

Applications must include a resume (CVenanglais) and a statement of grades (derniersrelevésde notesdisponiblessur 2ans,L3-M1-M2ouécoled'ingénieur); incomplete applications will not be considered.

All MS graduationrequirements mustcompletein 2026 and the candidate available to start at NVIDIA by January 2027.The candidate must haveaworking permit for the target location.