Senior Solutions Architetto, Higher Education and Ricerca, Multimodal and Physical AI — NVIDIA (ufficio Zurich)
- Località
- Zürich
- Contratto
- full-time
- Pubblicato
- 2 giorni fa
Panoramica
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.
Processo di candidatura
- 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.
Azienda e contesto
- 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
Dettagli ulteriori
- 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:
Note e contenuto originale
- 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:
Domande frequenti su questo annuncio
Che stipendio offre NVIDIA (ufficio Zurich) per questa posizione?
NVIDIA (ufficio Zurich) indica CHF 101'500 - 154'000 lordi annui per questo ruolo a Zürich. Questo è lo stipendio pubblicato nell'annuncio originale (o, quando il datore non specifica una cifra, una stima realistica per ruolo e settore) — il calcolatore di questo sito lo converte nel netto reale una volta applicate imposta da frontaliere e contributi sociali.
È un ruolo a tempo pieno, e che tipo di contratto offre NVIDIA (ufficio Zurich)?
Questo annuncio è una posizione a tempo pieno. Il tipo di contratto mostrato qui arriva direttamente dall'annuncio originale del datore di lavoro; conferma sempre orario esatto, preavviso e durata del periodo di prova con NVIDIA (ufficio Zurich) durante il colloquio, perché questi dettagli possono variare anche all'interno della stessa categoria contrattuale.
Serve un permesso da frontaliere per un ruolo nel canton Zurigo?
I residenti UE/AELS nella zona di frontiera del paese confinante con il canton Zurigo possono richiedere il Permesso G; il datore di lavoro svizzero lo presenta all'ufficio della migrazione di quel canton dopo la firma del contratto. Regole sulla zona di frontiera e tempi di lavorazione variano per paese confinante e canton — verifica i dettagli con l'ufficio della migrazione del canton Zurigo o con HR durante il colloquio.
Come mi candido a questa posizione presso NVIDIA (ufficio Zurich)?
Usa il pulsante "Candidati ora" in questa pagina — rimanda direttamente all'annuncio originale di NVIDIA (ufficio Zurich) su nvidia.wd5.myworkdayjobs.com, quindi la tua candidatura arriva direttamente nel sistema di gestione candidature del datore di lavoro. Frontaliere Ticino non raccoglie né inoltra candidature in proprio.
