Senior Deep Learning Engineer, Accuracy Evaluation — NVIDIA (ufficio Zurich)
- Location
- Zürich
- Contract
- full-time
- Posted
- 2 days ago
Role overview
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.
Company and context
- 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.
Additional details
- 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 and original content
- 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 about this listing
What salary does NVIDIA (ufficio Zurich) offer for this role?
NVIDIA (ufficio Zurich) lists CHF 113'500 - 172'000 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does NVIDIA (ufficio Zurich) offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with NVIDIA (ufficio Zurich) during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at NVIDIA (ufficio Zurich)?
Use the "Apply now" button on this page — it links directly to NVIDIA (ufficio Zurich)'s original listing at nvidia.wd5.myworkdayjobs.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
