NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
At NVIDIA, we are helping public-sector organizations use accelerated computing and artificial intelligence (AI) to improve government services, research and national capabilities. The Global Public Sector team is seeking a Solutions Architect based in France to turn sovereign AI priorities into scalable technical solutions. This hands-on role collaborates with solutions partners, government entities, research organizations, integrators and NVIDIA engineering and product teams to develop architectures, build proofs of concept and move validated workflows toward production. The work spans generative and agentic AI, model adaptation, GPU-accelerated inference, containerized platforms and machine learning operations. Travel within France and occasionally across Europe may be required for customer engagements.
What you’ll be doing:
- Translate public-sector mission goals, data constraints and operational requirements into technical architectures for generative and agentic AI solutions.
- Collaborate with partners to build and demonstrate working prototypes using Python and PyTorch. Then define practical paths from proof of concept to production deployment on NVIDIA accelerated computing platforms.
- Build containerized deployment patterns using Kubernetes, including model serving, scaling, integration and lifecycle considerations for customer environments.
- We lead hands-on discovery sessions, technical workshops and field trials with customer engineers and ecosystem partners, with clear success criteria and measurable technical outcomes.
- Guide model adaptation and inference workflows for large language models, then solve performance, compatibility and deployment issues with partner and technical teams.
- We create reusable notebooks, code samples, architecture guidance and technical presentations that connect customer requirements with implementable solutions.
- Bring structured customer and partner feedback to NVIDIA product and engineering teams to inform product requirements and remove adoption barriers.
What we need to see:
- Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics or another relevant engineering field or equivalent experience.
- 5 or more years of meaningful experience in solutions architecture, technical consulting, software development or a closely related technical role.
- Strong hands-on programming skills in Python and practical experience using PyTorch to build, test and debug machine learning workflows.
- Proven work with generative or agentic AI, including domain adaptation or deployment of agent-based solutions.
- Practical experience packaging and deploying AI applications with containers and Kubernetes.
- Ability to turn sophisticated customer requirements into clear solution architectures, working prototypes, and ready-to-implement technical plans.
- Clear written, verbal and technical presentation skills, including the ability to communicate through code, notebooks, architecture documents and workshops.
- Proven teamwork across customer, engineering, research, product, sales and partner teams in an international environment.
Ways to stand out from the crowd:
- Development experience with NVIDIA GPUs, software libraries or high-performance computing systems.
- Applied knowledge of continuous integration and delivery, AI model lifecycle management, and repeatable deployment pipelines for AI systems.
- Technical depth in one or more areas such as multimodal AI, computer vision, edge deployment, digital twins or data analytics.
- Consulting or delivery experience with government customers, sovereign technology programs or AI startups.
- Professional communication skills in French and English; additional Western European languages are a plus.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Skills Required
- Master's degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics, another relevant engineering field, or equivalent experience
- At least 5 years of experience in solutions architecture, technical consulting, software development, or a closely related technical role
- Strong hands-on programming skills in Python
- Practical experience using PyTorch to build, test, and debug machine learning workflows
- Experience with generative or agentic AI, including domain adaptation or deployment of agent-based solutions
- Experience packaging and deploying AI applications with containers and Kubernetes
- Ability to translate customer requirements into solution architectures, working prototypes, and technical implementation plans
- Strong written, verbal, and technical presentation skills, including communication through code, notebooks, architecture documents, and workshops
- Experience collaborating across customer, engineering, research, product, sales, and partner teams in an international environment
- Development experience with NVIDIA GPUs, software libraries, or high-performance computing systems
- Knowledge of continuous integration and delivery, AI model lifecycle management, and repeatable AI deployment pipelines
- Technical depth in multimodal AI, computer vision, edge deployment, digital twins, or data analytics
- Consulting or delivery experience with government customers, sovereign technology programs, or AI startups
- Professional communication skills in French and English
- Additional Western European languages
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
