Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250

Description

  • Act as a trusted advisor to clients by providing technical expertise throughout engagements.
  • Conduct proof-of-concepts, workshops, presentations, and training sessions on GPU cloud technologies and best practices.
  • Collaborate with clients to understand business requirements and develop aligned solution architectures.
  • Design and document infrastructure-as-code solutions, technical documentation, and how-to guides with support engineers and technical writers.
  • Help customers optimize pipeline performance and scalability for efficient cloud resource utilization.
  • Serve as the single point of expertise for customer scenarios across product, technical support, and marketing teams.
  • Support marketing efforts at events such as hackathons, conferences, workshops, and webinars.

Requirements

  • 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or in a similar technical cloud-focused role.
  • Strong hands-on experience with infrastructure-as-code and configuration management tools, preferably Terraform and Ansible.
  • Hands-on experience with Kubernetes.
  • Ability to write code in Python.
  • Solid understanding of GPU computing practices for ML training and inference workloads.
  • Knowledge of GPU software stack components, including drivers and libraries such as CUDA and OpenCL.
  • Excellent communication skills.
  • Fluency in French or Spanish is preferred.
  • Customer-centric mindset.
  • Hands-on experience with HPC or ML orchestration frameworks such as Slurm or Kubeflow is a plus.
  • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
  • Solid understanding of the cloud ML tools landscape from vendors such as NVIDIA, AWS, Azure, and Google is a plus.
  • Authorization to work in the country of application and ability to provide proof of employment eligibility are required.

Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility and work-life balance.
  • Collaborative and innovative culture.
  • Opportunity to work on impactful AI projects.
  • International environment and talented teams.

Interested in this position?

Apply directly on the company website

Apply Now

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