Developer Technology Engineering Intern - Compute Performance — NVIDIA (ufficio Zurich)
- Location
- Zürich
- Contract
- full-time
- Posted
- Yesterday
Role overview
NVIDIA is hiring passionate, world-class computer science studetns to work in its Compute Developer Technology (Devtech) team.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers.
We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more.
- NVIDIA is hiring passionate, world-class computer science studetns to work in its Compute Developer Technology (Devtech) team.
- With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers.
Application process
- In this role, you will research and develop techniques to GPU-accelerate leading applications in high performance computing fields within scientific computing, computational engineering, and data science.
- You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures. This involves:
- Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both library development and direct contribution to the applications.
- Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer productivity. What we need to see:
- Pursuing a MSc or preferably PhD degree in an engineering or computer science related discipline.
- While not a requirement, domain expertise in telecommunications, medical imaging, machine learning, deep learning, or natural sciences is helpful.
- Programming fluency in C/C++ and/or Fortran with a deep understanding of software design, programming techniques, and algorithms.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
Company and context
- Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
- As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Additional details
- If so, we want to hear from you. What you will be doing:
- You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.
- Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer productivity. What we need to see:
Notes and original content
- If so, we want to hear from you.
- What you will be doing:
- This involves:
- Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer productivity.
- What we need to see:
Questions about this listing
What salary does NVIDIA (ufficio Zurich) offer for this role?
NVIDIA (ufficio Zurich) lists CHF 57'500 - 87'000 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.
