דרושים Senior Developer Technology Engineer - ב-אנבידיה ב-גרמניה

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 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

This is a regional role covering EMEA.

What you’ll be doing:

• Manage team of regional Inception Program Managers, and Inception Partners Managers in Europe.

• Identify startups as Inception Program candidates, ISVs and key VCs for us to work with and evangelize both software and hardware technologies to the technical leaders

• Able to establish the value proposition of NVIDIA technologies to technical heads/leaders

• Support Inception Program communities and attend ecosystem events to recruit Inception members

• Build out startup engagement to develop a deep understanding of their goals, strategies, and technical and business needs

• Support emerging use cases development to help cultivate new industries (e.g. Robotics, Physical AI, Agents)

• Drive adoption of SDKs, monitors status, finger on the pulse and assist the Inception/ISV with Go To Market (GTM) programs to be successful

• Link mature Inception startups to VCs and vis-a-versa based on needs and distribute the vertical-ready mature Startups to the respective IGM/IBD teams

What we need to see:

• Minimum of 6+ years of management experience and 12+ overall years of proven working experience in related fields such as startups, partner/eco-system or VCs management with strong related technical background

• BS/MS/PhD in Computer Science, Engineering or equivalent commercial experience in AI/ML

• Passion for ecosystem development and thrive in dynamic environment with technical members

• Excellent communication skills are a crucial requirement. Candidates must work comfortably with startups, partners and various internal & external teams

• GenAI, Machine Learning and Artificial Intelligence experience is a must.

• Ability to build and lead Inception’s Europe strategy.

Ways to stand out from the crowd:

• Team player, loves to work in a team environment with collaborative approach

• Experience of a leading Technical Business Dev or AI teams in Europe’s ecosystem

• Has good local developer, researcher, engineer landscape understanding

• Has experience sourcing “future founders” with a team before anyone else.

• Proficient in English required but candidates who are multilingual are preferred.

What you'll be doing:

As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community.

What we need to see:

We are looking for engineers who are excited about building powerful, user-centric tools and are comfortable working in a fast-paced, collaborative environment. Here are some of the expertise we would like to see:

• A Bachelor's, Master's, or Ph.D. in Computer Science or a related technical field (or equivalent experience).

• 8+ years of relevant work experience

• A strong command of Python and experience building complex, well-tested software systems.

• Hands-on experience with deep learning frameworks like PyTorch or JAX. You understand how models are built and where the performance challenges lie.

• A solid foundation in compiler concepts such as abstract syntax trees (ASTs), intermediate representations (e.g., SSA form), program analysis, and code generation.

• Excellent communication and collaboration skills, essential for working effectively in a distributed, open-source environment.

Ways to stand out from the crowd:

• Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.

• Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).

• Experience with JAX-like functional transformations and their application in a compiler context.

• Familiarity with parallel programming, distributed systems, and writing high-performance CUDA code.

• A track record of impactful participation in open-source communities, such as through code contributions, design discussions, or mentorship.

What you will be doing:

• In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

• Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

• Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

• Currently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree.

• Programming fluency in C/C++ with a deep understanding of algorithms and software development.

• A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

• Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.

Ways to stand out from the crowd:

• Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

• Excellent understanding of linear algebra.