דרושים ב-Nvidia ב-France

What you will be doing:

Your main responsibility will be developing a technical strategy to assure GPU and NVIDIA platforms' adoption for the selected industries focusing on priorities. You will need to establish relationships and influence the technical leaders and technical communities, specifically developers, startups and ISVs within these industries. You will evangelize and develop our leadership position in this market by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities. Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers. Be the key advisor to how we are differentiated. You will become a NVIDIA technology mentor and focal point for the software developer community.

What we need to see:

• Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.

• Experience in several verticals/industries with good knowledge and trends in the industry.

• Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.

• You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.

• 5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.

• Able to work independently and possess excellent communication skills to drive customer and internal engagements.

• Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.

• Execute and accelerate strategic decisions

• Ability to effectively deliver value propositions for specific and targeted industries.

• Ensure a positive experience for external customers and partners while working cross functionally within our organization.

Ways to stand out from the crowd:

• Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.

• Strong technical understanding of Data Analytics, Conversational AI, Embedded System/Jetson.

• Experience in network communication protocol is an added advantage.

• Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions

• Excellent organizational, planning, and execution skills

What you'll be doing:

• Develop the Compute Sanitizer (which is a suite of memory checker) tools for GPUs running on Linux, Windows, and embedded operating systems

• Work with developer tools, driver and architecture teams to contribute to the design, implementation, and verification of product features and components that are part of the Developer Tools product portfolio

• Develop user workflows and user interface solutions to empower the user of the products

• Innovate and improve our GPU profiling and debugging libraries with new features to allow NVIDIA's customers to extract the best performance out of their applications

• Working on validation and hardware bring up of NVIDIA GPU developer tools features that are utilized by compute-sanitizer

What we need to see:

• Pursuing a B.S. EE/CS, MS, or PhD

• Passionate about the GPU - compute - and learning how complex systems work

• Passionate about quality and driven by results

• Strong programming ability in C, C++

• Knowledge of computer architecture (e.g.: x86, ARM CPUs, GPUs)

• Experience working in device drivers, real-time systems, game console middleware, or other low-level library development

Ways to stand out from the crowd:

• Background including experience with shipping commercial applications, contributing code to device drivers or system software

• Knowledge of a GPU API such as: Direct3D, Vulkan, OpenGL, OpenCL, CUDA and simulation or Emulation experience - writing and debugging tests

• Experience with code patching and ELF/DWARF knowledge

• Understand core technologies as it applies to GPU hardware and ability to read and write assembly language for multiple processor architectures

• Knowledge or experience in compute architecture, operating systems, and compilers and for candidates interest in GUI work – experience with Qt

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.