Senior Deep Learning Ingegnere, Accuracy Evaluation — NVIDIA (ufficio Zurich)
- Località
- Zürich
- Contratto
- full-time
- Pubblicato
- 2 giorni fa
Panoramica
We are seeking senior engineers to pioneer new methodologies for accurately assessing the performance and capabilities of ground-breaking deep learning models, including LLMs, RAG, agents, and vision models.
- We are seeking senior engineers to pioneer new methodologies for accurately assessing the performance and capabilities of ground-breaking deep learning models, including LLMs, RAG, agents, and vision models.
Azienda e contesto
- You will collaborate across the organization to bring the latest flagship models from our community and partners to life.
- This role offers an outstanding opportunity to craft the future of AI at a fast-growing company at the forefront of the AI revolution.
- Join our team of world-class software engineers and partners to deliver the most advanced models with lightning-fast inference.
- You'll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA's roadmap and the broader AI landscape! What you’ll be doing:
- Design and build decision-grade evaluation environments for NVIDIA's frontier models spanning reasoning, multimodal, long-context, and agentic systems, producing auditable accuracy signals that gate every major model release.
- Research and develop novel evaluation methodologies for emerging model families and capability domains (low-precision numerics, multi-turn agentic tasks, code generation) where established benchmarks don't yet exist or don't generalize.
- Build and operate the evaluation infrastructure and pipelines including benchmark environments, regression CI systems, and statistical analysis tooling, used by model, product, and applied research teams across NVIDIA.
- Partner with model research, training, and customer teams to translate evaluation signals into concrete decisions: release go/no-go, training iteration direction, and competitive positioning against external frontier models. What we need to see:
- BS, MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field
- 6+ years of hands-on experience with LLMs, designing and running evaluations for large language models or multimodal AI systems, including experience with agentic, multi-turn, or reasoning-heavy settings.
Dettagli ulteriori
- You'll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA's roadmap and the broader AI landscape! What you’ll be doing:
- Partner with model research, training, and customer teams to translate evaluation signals into concrete decisions: release go/no-go, training iteration direction, and competitive positioning against external frontier models. What we need to see:
- Clear, precise communicator who can translate quantitative evaluation results into decisions for researchers, product teams, and senior leadership. Ways to stand out from the crowd:
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The bas
Note e contenuto originale
- You'll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA's roadmap and the broader AI landscape!
- What you’ll be doing:
- Partner with model research, training, and customer teams to translate evaluation signals into concrete decisions: release go/no-go, training iteration direction, and competitive positioning against external frontier models.
- What we need to see:
- Clear, precise communicator who can translate quantitative evaluation results into decisions for researchers, product teams, and senior leadership.
- Ways to stand out from the crowd:
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- For Poland: The bas
Domande frequenti su questo annuncio
Che stipendio offre NVIDIA (ufficio Zurich) per questa posizione?
NVIDIA (ufficio Zurich) indica CHF 113'500 - 172'000 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.
