דרושים Senior Solutions Architect Ai Factory ב-אנבידיה ב-צרפת

What You'll Be Doing:

• Support developers in your ISV segment as a technical consultant, resolving issues and promoting NVIDIA technology adoption.

• Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.

• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems

• Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.

• Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

• Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.

• Collaborate with partner engineering teams, technical leaders, and decision-makers to identify objectives, address technical hurdles, and promote guidelines for successful integrations.

• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

What We Need to See:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or a Master’s degree or equivalent experience).

• A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, or customer-facing technical roles including 5+ years of direct hands-on experience working with software & technology companies in EMEA

• Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals.

• Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.

• Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

• Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

• Skilled in coordinating complex technical projects, addressing needs, prioritizing concerns, and collaborating with various teams.

• Commercialproficiency/experience:

Ways to Stand Out from the Crowd:

• Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.).

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as CUDA, Triton, NeMo

• Track record in crafting and implementing systems for real-time processing and low-latency decision-making.

• Proven experience in customer-facing technical roles focused on technical evaluation, product integration and development, and in establishing product partnerships and executing GTM strategies with external organizations.

• Experience working with developers building AI-embedded products serving one of the following industries: Healthcare & Life Sciences, Financial Services, Automotive, Manufacturing, or Retail

What you will be doing:

• Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/ guidance on training process in terms of tools and methodology

• Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms for Vision Language Reasoning Models

• Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology

• Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

What we need to see:

• MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.

• Deep expertise in AI/Deep Learning, with hands-on experience in training or optimizing VLMs for production

• Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with such model's optimization methods and tools (TensorRT and Triton Inference Server).

• Excellent verbal, written communication, and technical presentation skills in English.

• 5+ years' work or research experience with Python/ C++ / other software development

• AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapid evolving environment while continuously learning and sharing insights.

Ways to Stand Out from The Crowd:

• Familiarity with Cosmos-Reason and Isaac GR00T

• Track record in running large scale training and customization of VLM.

• Track record in Neural Networks inference optimization for Physical AI usecases

What you will be doing:

• Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.

• Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.

• Working closely with product management and other internal and external customers to understand feature and performance requirements and help define the technical roadmaps of libraries.

• Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.

What we need to see:

• PhD or Master’s degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).

• 5+ years of experience in designing, developing, testing, maintenance, and performance optimization of production software using CUDA and C++.

• Good knowledge of GPU (preferred) or CPU hardware architecture.

• Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra.

• Great teamwork, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience with CUTLASS, or low level programming like assembly for performance optimization is a huge plus.

• A scripting language, preferably Python.

• Experience with working in a globally-distributed team.

What you will be doing:

• Interact with end-users in academia and industry, develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs.

• Demonstrate accelerated computing and AI workflows, deliver trainings using NVIDIA hardware and software, and enable users to be NVIDIA champions e.g. Deep Learning Institute (DLI) Ambassadors.

• Partner with Sales Account Managers or Developer Relations Managers to secure design wins, assist in technical conversations and support our products under customer evaluation and towards integration into IT infrastructures.

• Identify gaps, propose and develop prototypical solutions, communicate customer requirements to NVIDIA Engineering to foster product improvements.

• Some rotation assignments require travel and customer visits.

What we need to see:

• 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.).

• Action-oriented with strong analytical skills.

• Self-motivated, able to work independently with minimal supervision.

• Strong collaboration and interpersonal skills, ability to communicate effectively with customers, fluent in English both oral and written.

• Passion for continuous learning and knowledge transfer

• Passion for accelerated computing.

• Skilled at profiling, analyzing, optimizing code

Ways to stand out from the crowd:

• Experience with Deep Learning frameworks (e.g. PyTorch), GPU programming (e.g. CUDA) and/or 3D (i.e. 3D Visualization, Digital Twin, Physical AI concepts and tools).

• Understanding of system architecture and operations inc. Distributed, and cloud computing, networking, filesystems, virtualization (e.g. Docker), system and workload management (e.g.Kubernetes), etc.

• Outstanding verbal and written communication skills, and an enthusiastic presentation style.

What you’ll be doing:

• Actively promote the NVIDIA culture with partners & customers.

• Activate & enable partners through hands-on workshops and ideation.

• Expand partner’s capabilities with pre-sales support on existing and new technologies.

• Build and nurture an active community of Subject Matter Experts in the partner landscape across EMEA.

• Foster learning and development by sharing feedback, guidance and knowledge with sales and product specialists.

• Support and provide guidance to our partners. Working closely with Partner Business Managers, you’ll get pulled into many conversations with partners and customers where you’ll need to help figure out good next steps on any number of possible topics, although AI Factories to support AI, DL/ML, virtualization and how GPU enabled software bits work are the most common topics.

• Above all, be the person that partners call on when they need to get technical in crafting solutions for customers engaged in AI, DL/ML, HPC, virtualization, visualization and other areas that make use of NVIDIA technology. Backed up by the other Solutions Architects experts, the Engineering organization, and the whole of NVIDIA. Be the face and brains of NVIDIA that our partners will learn to rely on.

• Use product and integration knowledge to deliver technical sales presentations, product demonstrations, hands-on training and proof of concepts, as well as overcome objections.

What we need to see:

• 7+ years of experience and confidence in partner facing technical roles. With channel partners or with enterprise customers, an aptitude for engaging in technical conversations that solve problems is critical.

• Channel experience, with strategic advisory and partnership development.

• Excellent communication and interpersonal skills.

• Understand the full stack from AI Apps & Workflows to AI Factories. Applications, frameworks, OS, Hypervisor, server hardware, networking, storage, datacenter needs all factor into building successful solutions. Knowing how all the parts fit together is important in being able to work with partners of different skill levels and different areas of expertise. Most successful Solutions Architects have at least a BS degree in a technical field.

• Excellent presentation skills, good written and verbal English and a European 2nd Language.

• You don’t need to be a specialist in the fields of AI, DL/ML, Virtualization or Visualization to be successful, but understanding, learning, and using their tools and methods is crucially important. Wanting to be an expert in some aspect of either field is a great attribute to have.

Ways to stand out from the crowd:

• Experience with AI, DL/ML frameworks and apps, C or Python programming, shell scripting, or with hypervisors and virtualization, cloud services, and Linux are all plusses, but the key is a willingness and ability to dig into the things you don’t know to solve the problems.

• Some history of public talks, presentations and trainings, video blogs, or any other demonstration of your desire to educate, fascinate and evangelize.

• Hands-on experience with one or more NVIDIA frameworks, SDKs or platforms.

We are looking for a, based in France, where you’ll be working in the most exciting & dynamic area of technology that exists today, driving the adoption of AI & Deep Learning

What You’ll Be Doing:

• Lead the French Defense & Public sector strategy working with product and geographic leaders AI Supercomputing for Simulations and Digital Twins, Autonomous Defense Systems & Cybersecurity Applications.

• Engage with Defence industry customers to understand their goals, strategies, and technical/business needs. Define and deliver high-value solutions and relay this information to NVIDIA product teams.

• See opportunities in current and future markets for NVIDIA technologies within the French region. Develop strategies, initiatives, and outcomes, and orchestrate resources to achieve them. Analyse and segment market opportunities to build strategic business plans.

• Run, report on, and help achieve sales goals in collaboration with EMEA leadership and regional sales teams.

• Act as a central point for the French Defence & Public sector ecosystem.

• Partner with EMEA regional and country sales teams to drive demand for our platform. Develop the customer value proposition and build core sales and marketing tools and training.

• Build partner and customer references and case studies.

• Identify and develop emerging user cases to nurture new vertical opportunities.

What We Need to See:

• Bachelor’s degree from a leading university; Master’s/MBA or equivalent experience.

• 15+ years in technical sales or business development within defense, aerospace, or federal security markets, with a proven track record of closing high-value deals within the DACH region.

• Decision-maker connections: Established relationships with senior leadership in French defense agencies (e.g., Bundeswehr), NATO, and prime defense contractors

• Deep knowledge and extensive experience in the Defense industry business development and driving adoption and growth of technology-based solutions.

• AI/ML proficiency: Deep understanding of AI applications in defense, such as cybersecurity, electronic warfare (EW),Intelligence and Reconnaissance or autonomous systems

• Existing Security clearance for classified projects

• Strong passion for ecosystem development.

• Strong sales management and partnership experience.

Ways to Stand Out from the Crowd:

• A sales leader passionate about defining growth opportunities, crafting customer value, and driving partnership strategies to build new markets, develop NVIDIA technology solutions, and achieve market leadership.

• Military experience: High Ranking Veterans with service in defensetechnology/intelligenceunits

• Positive relationships with global Defense organizations and a successful history of delivering technology solutions to them.

• Experience in crafting or selling cloud-native platforms and solutions.

• Ability to build and innovate while following operational processes.

What you will be doing:

• focusing on performance at scale, reliability, manageability, real-time monitoring, etc.

• Interact with end-users in academia and industry,develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs.

• Identify gaps and propose/develop prototypical solutions.

• Demonstrate accelerated computing and AI workflows, deliver trainings using NVIDIA GPUs and software for AI research,groom power users to be NVIDIA champions e.g. as DLI Ambassadors.

• Communicate customer requirements to NVIDIA Engineering to foster product improvements.

What we need to see:

• 3+ years of research experience in Deep Learning with a track record of scientific publications

• Experience with Large Language Models (LLM) training and adaptation, including knowledge of floating-point arithmetic at micro-scale

• Passion for accelerated computing

• A graduate degree from a leading university in a STEM related field

• Action oriented with strong analytical skills

• Strong organization and time management skills to work in a fast-pace multi-task environment

• Self-motivated, independent, ability to work independently with minimal day-to-day direction

• Significant experience in High-Performance Computing or Deep Learning

• Strong collaboration and social skills, ability to communicate effectively with customers, and across organizations (Engineering, Sales, Support)

• Experience with DL frameworks, multi-GPU computing, Generative AI

• Fluent in English both oral and written

Ways to stand out from the crowd:

• Experience with data curation pipeline at scale, data formats, filtering, cleaning

• Experience working with EuroHPC-class supercomputers or tier-1 clouds at scale

• Skilled at profiling, analyzing and optimizing code

• Understanding of HPC system architecture inc. distributed computing, networking, parallel filesystems, cluster operations, workload schedulers, etc.

• Experience working with NVIDIA technologies inc.NVAIE, NeMo, CUDA, NIM, etc.