Jobs at Nvidia in Spain, Madrid
Nvidia Senior Libraries Engineer – AI HPC Spain, Community of Madrid, Madrid
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- Poland, Remote
- Hungary, Remote
- Spain, Remote
- Poland, Warsaw
- Switzerland, Remote
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
doing:
Developing scalable library software using modern tools and languages for various numerical method.
Performance tuning, optimization, and benchmarking of algorithms on various architectures.
Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
Providing technical leadership and guidance to library engineers working with you.
Find opportunities to improve user experience and library performance.
What we need to see:
PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).
5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.
C/C++ programming and software development skills.
Proven experience in leading and completing software development projects.
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Good knowledge of CPU and/or GPU hardware architecture,
Experience with software development practices such as CI/CD systems and project management tools such as JIRA,
Experience with working in a distributed organization,
Debugging, profiling, and testing skills for accuracy and performance,
Fluency with Python.
These jobs might be a good fit
Nvidia Deep Learning Engineer LLM Accuracy Evaluation Spain, Community of Madrid, Madrid
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- Poland, Remote
- Spain, Remote
- Switzerland, Remote
- Germany, Remote
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you’ll be doing:
Collaborate closely with our partners and the open-source community to deliver their flagship models as highly optimized NVIDIA Inference Microservices (NIM).
Research and develop innovative deep learning methodologies to accurately evaluate new model families across diverse domains.
Analyze, influence, and enhance AI/DL libraries, frameworks, and APIs, ensuring consistency with the best engineering practices.
Research, prototype, and build robust tools and infrastructure pipelines to support our ground-breaking AI initiatives.
What we need to see:
BS, MS, or PhD in Computer Science, AI, Applied Math, or a related field, or equivalent experience.
10+ years of hands-on experience in AI for natural language processing (NLP) and large language models (LLMs).
Strong problem-solving, debugging, performance analysis, test design, and documentation skills.
Solid mathematical foundations and expertise in AI/DL algorithms.
Excellent written and verbal communication skills, with the ability to work both independently and collaboratively in a fast-paced environment.
Ways to stand out from the crowd:
Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard or HELM).
Hands-on experience with inference and deployment environments like TensorRT, ONNX, or Triton.
Passion for DevOps/MLOps practices in deep learning product development.
Experience running large-scale workloads in high-performance computing (HPC) clusters.
Strong understanding of Linux environments and containerization technologies like Docker.
These jobs might be a good fit
Nvidia Developer Advocate - Open Models Inference Spain, Community of Madrid, Madrid
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- Spain, Remote
- time type
- Full time
- posted on
- Posted 30+ Days Ago
- job requisition id
The virtuous cycle of NVIDIA’s accelerated computing thrives on a deep engagement with developers. NVIDIA offers many libraries, tools, APIs, and frameworks for developers toaccelerated computing for faster results and lower energy consumption.
the constantly evolving field of Generative AI and is interested in educating developers on how touse thesemodels onGPUs with different.This role involves building inspiring demos, sharing code, and engaging with the developer community.
Our team focuses on growing the developer ecosystem that builds applications on NVIDIA’s developer platform, which includes not only NVIDIA tools but also ecosystem tools that are often open source. We need a candidate who understands developers to work with robotics and XR developer marketing on launching innovative technology.
Be Doing:
As a Developer Advocate, you will create impactful and relevant content (e.g., demos, blogs, presentations, videos, etc.) and engage with developers, researchers, and students at events online or in person.
DevelopGenerative AI powered applicationsthat runs on NVIDIA GPUsusing tools andframeworkpopular in the developer community
DeploymentofmodelsonNVIDIAGPUs.
Collaborate with the developer advocacy and engineering teams toidentifyhigh-impact developer needs and design technical solutions.
What We Need
Bachelor's or Master’sdegree from a leading university in Computer Science with 3 to 5 years of engineering experience or equivalent.
Familiaritywith advances in Generative AI.
Experience building demo applications that combine popular community tools such as hugging face,PyTorch,langchain,vLLM,SLang,TensorRT-LLM,lama.cppandllamaindexetc.
Experience presenting to technical audiences and writing developer-facing content.
Ability to prioritize and work through rapidly changing projects that aim todemonstratethe benefits of new emerging technologies.
Demonstrates strong self-initiative, interpersonal skills, and an interest in developingnew technology.
Ways To Stand Out
in understanding and usingGenerative AI tools and frameworks popular in the community.
Skilled in technical content creation, like blog posts or tutorial videos.
Engaged involvement in developer communities.
You are a self-starter and know how to prioritize your work.
Communicates openly and effectively.
NVIDIA is widely considered to be one of the technology world’s most desirable employers.We have some of the most forward-thinking and hardworking people in the world on our team. If you are creative and autonomous, we want to hear from you!
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 ofrace, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
These jobs might be a good fit
Share
- Poland, Remote
- Hungary, Remote
- Spain, Remote
- Poland, Warsaw
- Switzerland, Remote
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
doing:
Developing scalable library software using modern tools and languages for various numerical method.
Performance tuning, optimization, and benchmarking of algorithms on various architectures.
Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
Providing technical leadership and guidance to library engineers working with you.
Find opportunities to improve user experience and library performance.
What we need to see:
PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).
5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.
C/C++ programming and software development skills.
Proven experience in leading and completing software development projects.
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Good knowledge of CPU and/or GPU hardware architecture,
Experience with software development practices such as CI/CD systems and project management tools such as JIRA,
Experience with working in a distributed organization,
Debugging, profiling, and testing skills for accuracy and performance,
Fluency with Python.
These jobs might be a good fit
