1 day ago
Remote, FranceSenior
Responsibilities
- Translate public-sector mission goals, data constraints, and operational requirements into technical architectures for generative and agentic AI solutions.
- Build and demonstrate prototypes with Python and PyTorch and define paths from proof of concept to production on NVIDIA accelerated computing platforms.
- Develop containerized deployment patterns with Kubernetes, including model serving, scaling, integration, and lifecycle management.
- Lead discovery sessions, technical workshops, and field trials with customers and ecosystem partners.
- Guide model adaptation and inference workflows for large language models and resolve performance, compatibility, and deployment issues.
- Create reusable notebooks, code samples, architecture guidance, and technical presentations.
- Provide customer and partner feedback to NVIDIA product and engineering teams.
- Travel within France and occasionally across Europe for customer engagements.
Requirements
- Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics, or 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 Python programming skills and practical experience using PyTorch for 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 turn complex customer requirements into solution architectures, working prototypes, and implementable technical plans.
- Strong written, verbal, and technical presentation skills.
- Experience collaborating across customer, engineering, research, product, sales, and partner teams in an international environment.
- Experience with NVIDIA GPUs, software libraries, or high-performance computing systems is preferred.
- Knowledge of continuous integration and delivery, AI model lifecycle management, and repeatable AI deployment pipelines is preferred.
- Technical depth in areas such as multimodal AI, computer vision, edge deployment, digital twins, or data analytics is preferred.
- Consulting or delivery experience with government customers, sovereign technology programs, or AI startups is preferred.
- Professional communication skills in French and English are preferred; additional Western European languages are a plus.
Benefits
- NVIDIA offers highly competitive salaries and a comprehensive benefits package.
- The role is based in France and may require travel within France and occasionally across Europe.
- Benefits information is provided at www.nvidiabenefits.com/.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.