Senior Deep Learning Ingénieur, Accuracy Evaluation — NVIDIA (ufficio Zurich)
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- il y a 2 jours
Vue d’ensemble du poste
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.
Entreprise et contexte
- 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.
Détails supplémentaires
- 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
Notes et contenu original
- 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
Questions sur cette offre
Quel salaire propose NVIDIA (ufficio Zurich) pour ce poste ?
NVIDIA (ufficio Zurich) indique CHF 113 500 - 172 000 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.
