Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The Role
We seek a Specialist Solutions Architect to design and implement scalable AI solutions for Nebius Cloud’s AI-focused customers. This role requires deep technical expertise and proven experience managing large-scale AI workloads across hundreds to thousands of GPUs. You’ll act as a strategic advisor, collaborating with clients to optimize AI infrastructure and deliver enterprise-grade ML solutions.
You are welcome to work remotely from the United States or Canada.
Key Responsibilities
- Architect and optimize distributed training and inference systems for large-scale AI models.
- Design and deliver customer-focused solutions that maximize performance and business value.
- Lead the transition of ML pipelines from POC to scalable production systems.
- Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals.
- Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices.
- Provide technical leadership and mentor teams on AI infrastructure and deployment strategies.
- Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps.
Your responsibilities will include:
- 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles.
- Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments.
- Demonstrated success delivering ML products, scaling from POC to production.
- Deep knowledge of ML frameworks like PyTorch and JAX.
- Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband).
- Active involvement in the ML community (e.g., public speaking, open-source contributions, competitions like Kaggle and Hackathons).
- Exceptional communication skills to engage both technical teams and business stakeholders.
It will be an added bonus if you have:
- 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, and vector databases
- ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
Key Employee Benefits:
- Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan: Up to 4% company match with immediate vesting.
- Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote Work Reimbursement: Up to $85/month for mobile and internet.
- Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.
Compensation
We offer competitive salaries, ranging from 125k-175k base + quarterly bonuses and equity options based on your experience, skills, and location.
Join Nebius Today!
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!
Top Skills
What We Do
Cloud platform specifically designed to train AI models
