Job description
Job details
- Location: Nederland
- Work mode: Onsite
- Employment type: Full-time (Not an internship)
- Salary: Salary details are available in the employer description.
Role overview
Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML workflows, from training to production. As an ML Infrastructure Engineer, you'll design and optimize large-scale GPU orchestration, inference systems, and cloud infrastructure to solve complex compute, storage, and networking challenges.
Job details
Based in Nederland, this full-time position is onsite. Nebius offers competitive compensation and opportunities to shape the future of AI infrastructure. Salary details are available in the employer description.
Responsibilities
- Design and build scalable ML infrastructure for cloud-based AI platforms
- Optimize GPU orchestration and inference pipelines for performance
- Collaborate with developers and enterprises to support AI/ML workflows
- Solve complex problems in compute, storage, and networking for large-scale systems
Requirements
- 4+ years of experience in ML infrastructure or cloud engineering
- Proficiency in cloud platforms (AWS/Azure/GCP) and DevOps tools
- Strong problem-solving skills in distributed systems and high-performance computing
- Knowledge of AI/ML frameworks like TensorFlow or PyTorch
Benefits
- Competitive compensation and equity opportunities
- Work on cutting-edge AI infrastructure projects
- Professional development and mentorship programs
- Mission-driven work in the global AI economy
Keywords
machine learningcloud infrastructureAIGPU orchestrationinference optimizationDevOpsfull-stack developmentAI cloud platformproduction deploymentdistributed systems