Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI — NVIDIA (ufficio Zurich)
- Location
- Zürich
- Contract
- full-time
- Posted
- 2 days ago
Role overview
NVIDIA has been redefining computer graphics and accelerated computing for three decades.
Today, we are tapping into the unlimited potential of AI to define the next era of computing.
Doing what has never been done before takes vision, innovation, and exceptional talent.
- NVIDIA has been redefining computer graphics and accelerated computing for three decades.
- Today, we are tapping into the unlimited potential of AI to define the next era of computing.
Application process
- Solutions Architects are the primary technical contacts for our customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology.
- We seek an individual who combines an intricate understanding of Multimodal AI and Physical AI with expertise in accelerated computing and architecture. What you will be doing:
- Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor: develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.
- Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content.
- Advocate for accelerated computing, robotics, Multimodal AI and Physical AI, and deliver hands-on trainings, workshops, lectures and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions.
- Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering.
- Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software What we need to see:
- A graduate degree from a leading university in a STEM related discipline or equivalent experience.
Company and context
- Action oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment.
- Fluent in English, both oral and written, and comfortable working in Python Ways to stand out from the crowd:
- A PhD from a leading university in a STEM related discipline, with 3+ years of research in the domain.
- A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures.
- Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X, including Cosmos world foundation models, NeMo Framework and Megatron for multimodal model training, multimodal Nemotron methodology, Isaac robotics platform, NuRec for neural reconstruction, TensorRT and NIM for deployment, and domain frameworks such as MONAI for medical imaging.
- As a Solutions Architect, there is travel involved (20% of the working time), as often the best way to figure things out is a face-toface meeting, but the job is not life on the road.
- We make heavy use of conferencing tools, and you are empowered to figure out how to get the job done and do what it takes to make our customers successful
Additional details
- We seek an individual who combines an intricate understanding of Multimodal AI and Physical AI with expertise in accelerated computing and architecture. What you will be doing:
- Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software What we need to see:
- Fluent in English, both oral and written, and comfortable working in Python Ways to stand out from the crowd:
Notes and original content
- We seek an individual who combines an intricate understanding of Multimodal AI and Physical AI with expertise in accelerated computing and architecture.
- What you will be doing:
- Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software
- What we need to see:
- Fluent in English, both oral and written, and comfortable working in Python
- Ways to stand out from the crowd:
Questions about this listing
What salary does NVIDIA (ufficio Zurich) offer for this role?
NVIDIA (ufficio Zurich) lists CHF 101'500 - 154'000 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does NVIDIA (ufficio Zurich) offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with NVIDIA (ufficio Zurich) during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at NVIDIA (ufficio Zurich)?
Use the "Apply now" button on this page — it links directly to NVIDIA (ufficio Zurich)'s original listing at nvidia.wd5.myworkdayjobs.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
