

Share
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.
These jobs might be a good fit

Share
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

Share
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.

Share
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.
.

Share
What You’ll Be Doing:
Build and expand strategic partnerships with leading cloud service providers (AWS, Microsoft Azure, Google Cloud, OCI) in the DACH region, identifying high-impact workloads and industry use cases where NVIDIA’s platforms and software stack deliver value.
Compose and deliver sales enablement programs, including training for CSP sales teams, solution architects, and presales, with a focus on NVIDIA software stacks such as NVAIE, Omniverse, Cosmos, and more.
Establish and grow executive-level relationships to position NVIDIA as the reference platform within CSP offerings, including marketplace presence.
Educate NVIDIA account managers on CSP offerings and guide them in helping customers with cloud-first strategies employ NVIDIA solutions.
Define and execute a regional GTM and business plan for DACH, aligning with global NVIDIA CSP programs and collaborating with NVIDIA EMEA and HQ CSP leaders.
Drive collaboration between NVIDIA account managers and CSP sales teams to accelerate opportunities.
Identify and engage top CSP channel partners in DACH to scale opportunities and grow robust pipelines.
What We Need To See:
8+ years demonstrated ability in sales or business development within the cloud ecosystem.
Bachelor’s degree or equivalent experience.
Strong understanding of cloud platforms, ecosystems, ISVs, and vertical applications.
Proven record in building and leading strategic partnerships, with strong negotiation skills.
Proven grasp of business challenges in hybrid and multi-cloud environments.
Strong technical foundation in multi-cloud or hybrid cloud solutions.
Background with CSPs or software companies in multi-cloud environments is a strong plus.
Excellent communication and presentation skills, able to engage from technical discussions to C-level conversations.
Proficiency in both English and German is mandatory.
Ways To Stand Out from the Crowd:
Ambitious attitude: operates like a business owner while thriving in a team-focused, matrix environment.
Comfortable navigating constantly evolving, highly multifaceted ecosystems.
Deep passion for cloud, hybrid, multi-cloud, software, and edge computing.
Proactive, autonomous, and agile—able to move fast, learn quickly, and adapt.
Start-up mentality: innovative, resourceful, and resilient.

Share
NVIDIA is looking for ace studentdeep learning — that enables computers to learn from data and write software that is too complex for people to code.
What you will be doing:
Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
What we need to see:
Pursuing a Bachelor degree or a Master degree in an engineering, computer science or natural science related discipline with a strong computational profile.
Good knowledge of C/C++, DL frameworks, programming techniques, and AI algorithms.
Firsthand work experience with parallel programming, ideally CUDA C/C++.
Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Some travel is required for conferences and for on-site visits with developers.
on the basis of
.

Share
What you will be doing:
Join the Developer Tools team as a senior software engineer to work on software such as Nsight Systems.
Extend the graphical user interface to implement new features that help our users understand the increasing amounts of complex data.
Design and implement product features that would help visualize and explain the performance data collected on clusters and in cloud environments.
Implement new pieces of user interface in HTML and JavaScript, migrate existing UI from C++ and Qt to web technologies, maintain and extend existing features.
Help introduce a new data-driven approach to UI development, and work with the team to help adopt it.
Communicate across multiple teams to collect and understand the requirements. Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users. Participate in all phases of the software feature development life cycle.
Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.
Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.
What we need to see:
BS or MS in EE, CE, CS, Systems Engineering.
4 years of experience in a related software position.
Excellent problem solving, collaborative, and interpersonal skills. Experience working in distributed teams is welcome.
Strong web frontend skills and experience with HTML, CSS, and JavaScript.
Attention to details, and ability to design and implement reasonable changes in user experience.
Strong understanding of algorithms and computer architecture.
Basic experience with C++ and its ecosystem.
Ways to stand out from the crowd:
Experience with Qt Widgets.
Practice with GPUs, CUDA, HPC, clusters, networking, and performance optimization in distributed environments.
Work experience with Python and data analysis, for example in Jupyter Notebook and with Pandas.
Experience with modern frontend development in TypeScript and frameworks such as React.
Ability in designing user interfaces and taking care of the user experience.

Share
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.
These jobs might be a good fit