Nebius is a Nasdaq-listed tech company that aims to become one of the world’s leading AI infrastructure providers. Headquartered in Amsterdam, we have R&D and commercial hubs across the US, Europe and Israel.
We build full-stack AI infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms and tools and services for developers. Our 500 employees include around 400 highly skilled engineers with a proven track record of developing world-class hardware and software solutions across cloud and AI/ML.
We are rapidly growing our infrastructure network with an ambitious investment program to build out data centers and colocations in the US and Europe. A Reference Platform NVIDIA Cloud Partner, Nebius’ AI-native cloud platform provides high-end infrastructure and tools for training, fine-tuning and inference.
Nebius is growing fast, and we’re always looking for the best talent to join our company. Along with highly competitive compensation and extensive opportunities for professional development, we offer a dynamic work environment where innovation, creativity and teamwork are highly prized and open up exciting new opportunities. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workplace, where all applicants are given fair consideration and every team member is empowered to contribute to their fullest potential.
The role
We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.
You’re welcome to work remotely from the United States or Canada.
Your responsibilities will include:
- Designing customer-centric solutions that maximize business value and align with strategic goals.
- Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
- Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
- Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.
We expect you to have:
- 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
- Strong understanding of ML ecosystems, including models, use cases and tooling.
- Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
- Expertise in deploying inference infrastructure for production workloads.
- Ability to transition ML pipelines from POC to scalable production systems.
- Hands-on knowledge of frameworks like PyTorch or JAX.
- Excellent verbal and written communication skills.
Preferred tooling
- Programming Languages – Python, Go, Java, C++
- Infrastructure as Code (IaC) – Terraform, Ansible
- Orchestration – Kubernetes (K8s), Slurm
- DevOps Tools – Git, Docker, Helm
- Big Data Frameworks – Spark, Kafka, Hadoop
- Databases – SQL, NoSQL (including vector databases)
- ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Hybrid working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
