Senior Research Engineer

NVIDIA; München; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading technology company is seeking a Research Engineer passionate about open-source to help build next-generation AI software. The ideal candidate will design and implement algorithms, contribute to popular frameworks, and tackle large-scale AI training tasks. Applicants should have a strong background in machine learning, proven experience in distributed systems, and proficiency in Python. Join a dynamic team at the forefront of generative AI and be part of innovative projects that shape the future.

Leistungen

Creative and autonomous work environment

Opportunities for career growth

Participation in academic and industry conferences

Qualifikationen

• 3+ years of proven experience in machine learning, systems, or large-scale model training.
• Experience with AI frameworks such as Pytorch or JAX.
• Strong understanding of AI/Deep-Learning fundamentals.

Aufgaben

• Design, implement, and test next generation RL and post-training algorithms.
• Develop NeMo-RL, Megatron Core, and NeMo Framework for open-source.
• Solve large-scale AI training and inference challenges.

Kenntnisse

Machine learning

Distributed computing

Python programming

AI frameworks (Pytorch, JAX)

Ausbildung

BS, MS or PhD in Computer Science, AI, Applied Math

Tools

vLLM

SGLang

TRT-LLM

Jobbeschreibung

Join NVIDIA and help build the software that will define the future of generative AI. We are looking for a research engineer who is passionate about open-source and excited to create our next-generation post-training software stack. You will work at the intersection of research and engineering, collaborating with the Post-Training and Frameworks teams to invent, implement, and scale the core technologies behind our Nemotron models.

What you’ll be doing:

• Work with applied researchers to design, implement and test next generation of RL and pos-training algorithms

• Contribute and advance open source by developing NeMo-RL, Megatron Core, and NeMo Framework and yet to be announced software

• You will be engaged as part of one team during Nemotron models post-training

• Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment.

• Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack.

• Performance tuning and optimizations, model training with mixed precision recipes on next-gen NVIDIA GPU architectures.

• Publish and present your results at academic and industry conferences

What we need to see:

• BS, MS or PhD in Computer Science, AI, Applied Math, or related fields or equivalent experience

• 3+ years of proven experience in machine learning, systems, distributed computing, or large-scale model training.

• Experience with AI Frameworks such as Pytorch or JAX

• Experience with at least one inference and deployment environments such as vLLM, SGLang or TRT-LLM

• Proficient in Python programming, software design, debugging, performance analysis, test design and documentation.

• Strong understanding of AI/Deep-Learning fundamentals and their practical applications.

Ways to stand out from the crowd:

• Contributions to open source deep learning libraries

• Hands‑on experience in large-scale AI training, with a deep understanding of core compute system concepts (such as latency/throughput bottlenecks, pipelining, and multiprocessing) and demonstrated excellence in related performance analysis and tuning.

• Expertise in distributed computing, model parallelism, and mixed precision training

• Prior experience with Generative AI techniques applied to LLM and Multi‑Modal learning (Text, Image, and Video).

• Knowledge of GPU/CPU architecture and related numerical software.

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 on the planet working with us. If you're creative and autonomous, we want to hear from you!