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

  • Own end-to-end technical presales and solution delivery for strategic and enterprise customers from discovery through PoC, architecture design, and production readiness.
  • Serve as a trusted technical advisor to senior customer stakeholders, including CTOs, Heads of ML, and platform engineering teams.
  • Lead ML/AI infrastructure and MLOps architecture for large-scale training and inference workloads on GPU-accelerated cloud platforms.
  • Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns.
  • Drive advanced PoCs, workshops, architecture reviews, and executive presentations to demonstrate value and accelerate adoption.
  • Partner with Sales, Product, Engineering, and Support to represent customer requirements and influence product roadmap decisions.
  • Act as a single point of technical authority for key customer scenarios across internal teams.
  • Support marketing initiatives such as conferences, hackathons, webinars, customer case studies, and technical thought leadership.
  • Mentor and provide technical leadership to other Solutions Architects.

Requirements

  • 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, or ML Platform Engineer, with significant customer-facing responsibilities.
  • Proven track record of delivering complex presales engagements end to end, including discovery, solution design, PoCs, and production transition.
  • Deep hands-on experience with large-scale ML workloads, including GPU training and inference at scale.
  • Strong expertise in cloud infrastructure and MLOps, including Kubernetes-based platforms and distributed systems.
  • Hands-on experience with Infrastructure as Code and configuration management tools such as Terraform and Ansible.
  • Strong Python skills.
  • Deep understanding of GPU computing stacks for ML/AI workloads, including drivers, CUDA, libraries, and performance optimization.
  • Exceptional communication skills for both technical and executive audiences.
  • Highly customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy.
  • Previous experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or similar senior AI/ML-focused role is a plus.
  • Hands-on experience with HPC and ML orchestration frameworks such as Slurm and Kubeflow is preferred.
  • Practical experience with deep learning frameworks such as PyTorch and TensorFlow is preferred.
  • Strong understanding of the cloud ML ecosystem across NVIDIA, AWS, Azure, and Google Cloud is preferred.
  • Experience influencing product direction based on customer feedback and real-world usage patterns is preferred.
  • Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.

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.
  • Remote work option from Singapore.

Interested in this position?

Apply directly on the company website

Apply Now

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