Software Engineering Intern Developer Tools jobs at Nvidia in France

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:

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:

• Prototype and develop parallel algorithms for optimization problems including but not limited to routing, flow, scheduling, and packing.

• Performance tuning, optimization, and benchmarking of large-scale parallel numerical software on various CPU and GPU architectures.

• Collaborate with team members and understand software use cases and requirements.

What we need to see:

• Pursuing a MS or PhD degree in Computer Science, Applied Math, Engineering, or related field.

• Excellent parallel C++ programming and software design skills.

• Strong algorithms and numerical methods fundamentals in operations research and optimization.

• Ability to work independently and manage your own development effort.

• Strong collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience developing optimization solvers, machine learning, or LLM.

• Understanding of hardware and system architecture,CPU/GPU/Memory/Storage,everything related to performance optimization

• A scripting language, preferably Python and experience with major clouds.

• Well versed in agile methodology.

• Experience in software shipping cycles (dev, deploy, release, CI) and open-source software dev.

What you'll be doing:

• 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 tools for GPUs running Linux, Windows, and embedded operating systems (such as Linux, QNX, Android, etc.)

• 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 our debuggers and profilers

What we need to see:

• Pursuing a B.S. EE/CS, MS, or PhD

• Passionate about the GPU – graphics or 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 in performance analysis, particularly of GPU applications, but also system level and prior experience authoring developer tools, particularly for GPUs or games

• Understand game engine 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