Jobs at Nvidia in Germany

What You’ll Be Doing:

• Lead and develop NVIDIA’sDACH & BeneluxConsumer sales team, setting strategic direction and achieving ambitious revenue and market share goals.

• Build and manage relationships with key retail, etail, system integrator, AIC and OEM partners to expand NVIDIA’s consumer footprint.

• Identify new business opportunities, optimize investments, and deliver strong ROI through smart, data informed decision making.

• Encourage, mentor, and grow a high-performing team through effective leadership and clear communication.

• Collaborate cross-functionally to align sales goals with company objectives and ensure efficient execution.

• Analyze market trends, supervise competitors, and adjust regional strategies to stay ahead of the curve.

• Plan and implement impactful product launches, events, and partner initiatives acrossDACH & Benelux.

• Communicate NVIDIA’s product roadmaps, technology vision, and strategic priorities to partners and customers.

• Travel regionally and internationally as required.

What We Need to See:

• Proven sales leadership experience in consumer technology, ideally across retail, etail, and system integrator channels.

• Bachelor Degree in a related field or equivalent experience.

• 8+ years of demonstrated ability within a consumer sales environment.

• Strong understanding of the DACH & Benelux laptop and desktop markets.

• Demonstrated success in leading and motivating sales and marketing teams in a matrixed environment.

• Expertise in managing sophisticated partnerships and driving business growth.

• Deep knowledge of consumer sales trends and market dynamics in DACH & Benelux.

• Experience working with OEMs, AICs or channel is an advantage.

Ways to Stand Out from the Crowd:

• Strategic individual who excels at solving problems and possesses strong analytical, communication, and presentation skills.

• Incredibly structured, adaptable, and skilled at excelling in a fast-paced environment.

• Willingness to travel regionally and internationally as needed

What you'll be doing:

• Crafting and building the next generation of AI-based developer tools for in-depth performance on GPUs.

• Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the word.

• Gain exposure to a wide range of NVIDIA technologies, including GPU Hardware, CUDA compilers/drivers, and developer tools software.

What we need to see:

• Pursuing a Master's or higher degree in Computer Science or Computer Engineering.

• Strong programming skills with Python and C++.

• Completed coursework or possesses foundational knowledge in developing AI assistants.

Ways to stand out from the crowd:

• Familiarity with tool-calling integrations into AI pipelines and agentic systems.

• Skills in CUDA kernel programming, profiling, and targeting GPU hardware.

• Outstanding interpersonal skills and ability to work effectively as a great teammate.

• Highly motivated to apply our knowledge and eager to learn new skills in a fast-paced environment.

November 29, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

What you’ll be doing:

• Design and implement novel algorithms that enhance the real-to-sim quality, using state-of-the-art reconstruction and generative techniques.

• Optimize the reconstruction training and rendering runtime towards speed of light.

• Contribute to a large codebase, combining Python and CUDA.

• Close collaboration with experienced engineering and research team members.

• Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.

• Publish and present results in internal or external conferences and articles.

What we need to see:

• Pursuing MS or PhD in Computer Science, Computer Engineering, or a related area with a focus on computer graphics, computer vision, or machine learning.

• Hands-on technical knowledge on Neural Reconstruction, and Generative Models such as image and video diffusion models.

• Proven experience with Python and Pytorch as well as CUDA/Slang.

• Strong experience in robotic systems such as autonomous vehicles or humanoid robotics.

• Good software engineering fundamentals (source control, testing/validation, containerization).

• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product- and research-focused team.

Ways to stand out from the crowd:

• Strong coding architecture skills showed by contributing to large internal or open source projects.

• Experience with performance analysis and optimization, particularly for GPU-accelerated workloads is a plus.

• Experience with advanced CUDA development and optimization for graphics or vision applications.

• History of multi-disciplinary creativity and innovation (for instance, experience with hardware + software projects in graphics or robotics).

November 29, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

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 will be doing:

• Develop and optimize scalable high-performance cryptographic primitives, algorithms, and building blocks on the latest GPU hardware architectures

• Emphasize robust long term software architectures and designs that effectively use many generations of hardware

• Work closely with internal(product management, engineering) and external partners to understand feature and performance requirements and deliver timely cuPQC releases.

What we need to see:

• PhD or MSc’s degree in Applied Mathematics, Computer Science, or related science or engineering field is preferred (or equivalent experience).

• 5+ years of experience designing and developing software for cryptography in low latency or high throughput environments

• Strong mathematical foundations.

• Advanced C++ skills, including modern design paradigms (e.g. template meta-programming, SFINAE, RAII, constexpr, etc).

• Strong collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience developing libraries consumed by many users.

• Experience with CUDA C++, and GPU computing.

• Programming skills with contemporary automation setups for both building software (e.g. cmake) as well as testing (e.g. CI/CD, sanitizers).

• Strong understanding of mathematical foundations and algorithms used in cryptography, including but not limited to finite field arithmetic, lattice-based cryptography, and cryptographic hash functions.

NVIDIA is searching for an outstanding SA with a focus on embedded systems and AI. Your primary responsibilities will be to partner with sales and support the customer technical engagement for NVIDIA’s Jetson platform. You will be working cross functionally with our organizations as well as our partner ecosystem. You should be comfortable working in a dynamic environment and have proven expertise with supporting embedded applications. You will emphasize on your interpersonal skills and your technical knowledge to provide support for our embedded GPU AI products. Excellent communication and interpersonal skills and the ability to work independently are key success factors. Experience with DL is a plus, as well as the aspiration the learn and develop new skills.

What you’ll be doing:

• Engage customers and develop a keen understanding of their challenges, objectives, and technical needs – and help to define highly valued solutions that meet these needs

• Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference supporting our sales partners and customers

• Work closely with the NVIDIA applications and engineering team to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the Nvidia developer forum

• Actively establish relationships with our customer’s engineers, management and architects at focus accounts

• Provide onsite support to guide our customers through firmware, BSP and application software development, and with deep learning inference

• Consult with customers in whiteboarding sessions to propose technical solutions, demonstrate capabilities, build proof of concepts and application demonstrations

• Provide technical and sales training to ecosystem and channel partners

• Establish trusted relationships and communication channels with internal teams

What we need to see:

• BS or MS in Electrical Engineering or Computer Science

• 6+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role

• C, C++, and Python coding, Linux, embedded SW and embedded application expertise

• Capability of working in a rapidly changing environment without losing focus

• Ability to multitask effectively in a dynamic environment

• Strong analytical, problem-solving skills, time-management, and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects

• Expert written and oral communications skills in English with the ability to effectively collaborate with management and engineering

Ways to stand out from the crowd:

• NVIDIA GPU development background

• Deep Learning and/or AI expertise

• Experience with gStreamer, ROS and/or OpenCV

What you’ll be doing:

• Define the GTM strategy for your account & bring all NVIDIAs product portfolio to your customer

• Build strong & positive relationships with all partners within your account and account eco-system

• Own your customers journey in the world of AI & ensure they are making the best decision.

• Develop and implement a growth orientated account strategy

What we need to see:

• Relevant degree in Business or Engineering or equivalent experience.

• 10+ Years of meaningful experience within AV.

• Multiple years of sales and/or business development experience in a B2B sales Environment

• An ability to develop and maintain positive relationships, both internally and externally

• Experienced in engaging the marketing & customer with innovative and future orientated solutions

• Have an affinity with Technology

• Key skills: pro-active, strong interpersonal skills, commercial acumen, strategic problem solver.

• German and English language skills are crucial.