Senior Solutions Architecte, Higher Education and Recherche, Multimodal and Physical AI — NVIDIA (ufficio Zurich)
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- il y a 2 jours
Vue d’ensemble du poste
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.
Processus de candidature
- 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.
Entreprise et contexte
- 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
Détails supplémentaires
- 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 et contenu original
- 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 sur cette offre
Quel salaire propose NVIDIA (ufficio Zurich) pour ce poste ?
NVIDIA (ufficio Zurich) indique CHF 101 500 - 154 000 bruts par an pour ce poste à Zürich. Il s'agit du salaire publié dans l'annonce d'origine (ou, si l'employeur ne précise pas de montant, d'une estimation réaliste pour le rôle et le secteur) — le calculateur de ce site le convertit en net réel une fois l'impôt frontalier et les cotisations sociales appliqués.
Est-ce un poste à temps plein, et quel type de contrat propose NVIDIA (ufficio Zurich) ?
Cette offre est un poste en temps plein. Le type de contrat affiché ici provient directement de l'annonce originale de l'employeur ; confirmez toujours les horaires exacts, le préavis et la durée d'essai avec NVIDIA (ufficio Zurich) pendant le processus de candidature, ces détails pouvant varier même au sein de la même catégorie de contrat.
Ai-je besoin d'un permis de frontalier pour un poste dans le canton de Zurich ?
Les résidents UE/AELE domiciliés dans la zone frontalière du pays voisin du canton de Zurich peuvent demander un permis G ; l'employeur suisse le dépose auprès de l'office cantonal des migrations après signature du contrat. Les règles de zone frontalière et les délais varient selon le pays voisin et le canton — confirmez les détails auprès de l'office des migrations du canton de Zurich ou avec les RH pendant la candidature.
Comment postuler à ce poste chez NVIDIA (ufficio Zurich) ?
Utilisez le bouton « Postuler maintenant » sur cette page — il renvoie directement à l'annonce originale de NVIDIA (ufficio Zurich) sur nvidia.wd5.myworkdayjobs.com, votre candidature arrive donc directement dans le système de suivi des candidatures de l'employeur. Frontaliere Ticino ne collecte ni ne transmet lui-même les candidatures.
