Senior Solutions Architect, Higher Education and Forschung, Multimodal and Physical AI — NVIDIA (ufficio Zurich)
- Ort
- Zürich
- Vertrag
- full-time
- Veröffentlicht
- vor 2 Tagen
Rollenüberblick
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.
Bewerbungsprozess
- 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.
Unternehmen und Kontext
- 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
Weitere 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:
Notizen und Originalinhalt
- 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:
Fragen zu dieser Stellenanzeige
Welches Gehalt bietet NVIDIA (ufficio Zurich) für diese Stelle?
NVIDIA (ufficio Zurich) gibt CHF 101'500 - 154'000 brutto pro Jahr für diese Position in Zürich an. Dies ist das im Original-Inserat veröffentlichte Gehalt (oder, falls der Arbeitgeber keinen Betrag nennt, eine realistische Schätzung für Rolle und Branche) — der Rechner auf dieser Seite berechnet daraus Ihr tatsächliches Netto nach Grenzgänger-Steuer und Sozialabgaben.
Ist das eine Vollzeitstelle, und welchen Vertragstyp bietet NVIDIA (ufficio Zurich)?
Diese Stelle ist eine Vollzeit-Position. Der hier angezeigte Vertragstyp stammt direkt aus dem Original-Inserat des Arbeitgebers; klären Sie genaue Arbeitszeiten, Kündigungsfrist und Probezeit während des Bewerbungsprozesses mit NVIDIA (ufficio Zurich), da diese Details auch innerhalb derselben Vertragskategorie variieren können.
Brauche ich eine Grenzgänger-Bewilligung für eine Stelle im Kanton Zürich?
EU/EFTA-Bürger mit Wohnsitz in der Grenzzone des an den Kanton Zürich angrenzenden Landes können eine G-Bewilligung beantragen; der Schweizer Arbeitgeber reicht sie nach Vertragsunterzeichnung beim Migrationsamt dieses Kantons ein. Grenzzonen-Regeln und Bearbeitungszeiten variieren je nach Nachbarland und Kanton — klären Sie die Details mit dem Migrationsamt des Kantons Zürich oder mit HR während der Bewerbung.
Wie bewerbe ich mich für diese Stelle bei NVIDIA (ufficio Zurich)?
Nutzen Sie die Schaltfläche "Jetzt bewerben" auf dieser Seite — sie führt direkt zum Original-Inserat von NVIDIA (ufficio Zurich) unter nvidia.wd5.myworkdayjobs.com, sodass Ihre Bewerbung direkt im Bewerbermanagementsystem des Arbeitgebers landet. Frontaliere Ticino sammelt oder leitet keine Bewerbungen selbst weiter.
