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Description:
- Serve as a trusted advisor to AI-focused customers, designing and deploying large-scale GPU clusters and production inference systems.
- Collaborate with clients to ensure seamless, repeatable deployments across hundreds to thousands of GPUs.
Requirements:
- 3+ years in Cloud or GPU AI Infrastructure DevOps.
- Proven experience deploying GPU clusters at scale, including multi-node, multi-GPU setups.
- Proficient in Ansible, Terraform, Kubernetes, and Slurm.
- Strong programming skills in Python or Go.
- Solid understanding of ML ecosystems and production deployment patterns.
- Excellent communication skills to convey complex technical concepts.
Benefits:
- Competitive compensation and flexible working hours with hybrid or remote options.
- Work from anywhere in the world for up to 45 days per year.
- Private medical insurance for you and your family.
- Extra paid vacation and sick leave days.
- Support for life’s important moments and celebrations, plus language courses.
- Access to modern offices with snacks, drinks, and entertainment.
Job title
Job type
Experience level
Required experience
3 years
Salary
-
Degree requirement
No degree requiredSkills
Location requirements
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