
10,000+ employees
Founded 1993
đ„ Healthcare
đ Manufacturing
đ€ Artificial Intelligence
Healthcare âą Manufacturing âą Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
đ„ 0 minutes ago
đ«đ· France â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ» Solutions Engineer
đ» Ghost score 11%
đŁïžđ«đ· French Required
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

10,000+ employees
Founded 1993
đ„ Healthcare
đ Manufacturing
đ€ Artificial Intelligence
Healthcare âą Manufacturing âą Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
âą Translate public-sector mission goals, data constraints and operational requirements into technical architectures for generative and agentic AI solutions âą Collaborate with partners to build and demonstrate working prototypes using Python and PyTorch âą Define practical paths from proof of concept to production deployment on NVIDIA accelerated computing platforms âą Build containerized deployment patterns using Kubernetes, including model serving, scaling, integration and lifecycle considerations âą Lead hands-on discovery sessions, technical workshops and field trials with customer engineers and ecosystem partners âą Guide model adaptation and inference workflows for large language models âą Solve performance, compatibility and deployment issues with partner and technical teams âą Create reusable notebooks, code samples, architecture guidance and technical presentations âą Connect customer requirements with implementable solutions âą Bring structured customer and partner feedback to NVIDIA product and engineering teams to inform product requirements and remove adoption barriers âą Collaborate with solutions partners, government entities, research organizations, integrators, and NVIDIA engineering and product teams âą Travel within France and occasionally across Europe for customer engagements
âą Masterâs degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics or another relevant engineering field or equivalent experience âą 5 or more years of meaningful experience in solutions architecture, technical consulting, software development or a closely related technical role âą Strong hands-on programming skills in Python âą Practical experience using PyTorch to build, test and debug machine learning workflows âą Proven work with generative or agentic AI, including domain adaptation or deployment of agent-based solutions âą Practical experience packaging and deploying AI applications with containers and Kubernetes âą Ability to turn sophisticated customer requirements into clear solution architectures, working prototypes, and ready-to-implement technical plans âą Clear written, verbal and technical presentation skills, including the ability to communicate through code, notebooks, architecture documents and workshops âą Proven teamwork across customer, engineering, research, product, sales and partner teams in an international environment âą Development experience with NVIDIA GPUs, software libraries or high-performance computing systems âą Applied knowledge of continuous integration and delivery, AI model lifecycle management, and repeatable deployment pipelines for AI systems âą Technical depth in one or more areas such as multimodal AI, computer vision, edge deployment, digital twins or data analytics âą Consulting or delivery experience with government customers, sovereign technology programs or AI startups âą Professional communication skills in French and English; additional Western European languages are a plus
âą Highly competitive salaries âą Comprehensive benefits package âą Benefits for employees and their families
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