About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a highly skilled Systems Engineer (Cloudmeter) to join our team to support benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimization and next-generation hardware development.
In this position, your responsibility will be to:
- Work closely with hardware, development teams to profile and analyze GPU performance at the system and kernel level.
- Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g., CUDA, ROCm).
- Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
- Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimizations on performance and scalability.
We expect you to have:
- Proficient in Unix/Linux, plus Python and Bash for automation.
- Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries
- Proven ability to troubleshoot complex system issues including hardware, software, and networking problems.
- Familiarity with containerized environments (e.g., Docker, Kubernetes).
Ways to stand out from the crowd:
- Experience with modern deep learning frameworks (PyTorch, JAX, vLLM, Tensort-LLM)
- Experience with job schedulers and resource managers (Slurm, Volcano, etc.).
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Skills Required
- Proven experience with Kubernetes and Docker
- Strong understanding of cloud infrastructure and automation in Python or shell scripting
- Solid understanding of Linux server administration
- Experience with virtualization technologies and networking
- Familiarity with CI/CD practices
- Experience with cloud platforms such as AWS, GCP, or Azure
- Excellent written and spoken English communication skills
What We Do
Cloud platform specifically designed to train AI models
