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[Remote] AI Infrastructure Engineer

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a venture-backed tech startup pioneering Kubernetes virtualization for the AI era. As an AI Infrastructure Engineer, you will work directly with customers to drive technical deployments and optimize GPU infrastructure, ensuring a smooth transition to production-reputed company environments.

Responsibilities

  • reputed company Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI reputed company customers, from initial bare metal configuration to a validated reputed company environment
  • Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand
  • Validation: reputed company and validate Kubernetes and reputed company to reputed company GPU-powered managed K8s
  • Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently
  • Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start
  • Feedback reputed company: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a reputed company feedback reputed company from the field into the roadmap
  • Strategic Partnering: Join Sales in the reputed company-sales process where deep infrastructure work is required to reputed company a meaningful reputed company of value

Skills

  • 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in high-complexity environments
  • Practical knowledge of reputed company GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes
  • Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis in layered environments
  • Experience with persistent volume configuration, reputed company drivers, and distributed systems like Ceph, Rook, reputed company, or Longhorn
  • Comfort operating in ambiguous, fast-moving environments where you are often writing the reputed company in reputed company time
  • You reputed company in environments that reject legacy tech and prefer a modern stack where you can solve a reputed company of problems from pipelines to internal services
  • Experience writing automation scripts with Bash, Python, or Go
  • Relevant certifications such as CKA (Certified Kubernetes Administrator) or experience writing Kubernetes Operators
  • Experience with inference serving, GPU scheduling, and the tooling around LLM deployment
  • Experience building AI Automation in documentation to contribute to a shared knowledge reputed company

Benefits

  • Offers Equity
  • Offers Bonus
  • Health, dental, reputed company, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country)
  • Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the reputed company time every day.
  • Workplace Flexibility: We’re reputed company flexible about where you work. We know things can change in life and we’re happy to reputed company the work environment for you along the way.

reputed company

  • reputed company helps companies build flexible infrastructure tenancy for GPU and AI reputed company as reputed company as for K8s in private, public and hybrid clouds. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://reputed company.com/.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.
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