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2 дня назад

Solutions Engineer (AI Infrastructure)

155 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Solutions Engineer (AI Infrastructure): Deploying and troubleshooting enterprise AI/ML workloads on Crusoe Cloud's high-performance GPU infrastructure with an accent on Kubernetes-based environments, cloud migration, and customer proofs of concept. Focus on building optimized infrastructure, solving distributed workload and networking challenges, and translating technical requirements into successful customer deployments.

Location: New York, NY, US; full-time on-site work in the New York City office, Monday through Friday

Salary: $155,000–$200,000 annually plus bonus and Restricted Stock Units

Company

hirify.global is a vertically integrated AI infrastructure company operating energy, manufacturing, data center, and cloud services to support large-scale AI workloads.

What you will do

  • Deliver technical demos and build proof-of-concept environments for enterprise customers evaluating hirify.global Cloud.
  • Support technical discovery with Account Executives by mapping stakeholders, gathering requirements, and addressing technical objections.
  • Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based infrastructure while optimizing performance and cost.
  • Help customers migrate workloads from AWS, GCP, and Azure to hirify.global infrastructure and explain technical tradeoffs.
  • Document product gaps and bugs for Engineering and provide structured customer feedback to Product.
  • Prepare transition documentation and instance summaries for stable post-sale handoffs to Customer Success.

Requirements

  • 2+ years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, HPC, or GPU workloads.
  • Hands-on experience managing infrastructure with at least one major cloud provider: AWS, GCP, or Azure.
  • Experience deploying containerized workloads with Kubernetes or Docker.
  • Strong Linux command-line and scripting skills in Python or Bash.
  • Understanding of VPCs, subnets, load balancers, DNS, and routing.
  • Clear technical communication skills, including customer demos and practical documentation.

Nice to have

  • Experience with PyTorch, Ray, Kubeflow, or distributed training and inference frameworks.
  • Infrastructure-as-Code experience with Terraform, Ansible, or CloudFormation.
  • Experience with GPU clusters, InfiniBand, RoCE, or Slurm.
  • Familiarity with Prometheus, Grafana, Datadog, or CloudWatch.
  • Public technical content such as talks, blog posts, or how-to guides.

Culture & Benefits

  • Competitive compensation, bonus, equity, and Restricted Stock Units.
  • Paid time off, holidays, leave programs, and paid parental leave.
  • Health, dental, vision, life, disability, and mental health coverage.
  • 401(k) plan with company matching up to 4% of salary and HSA contributions.
  • Professional development, tuition reimbursement, commuter benefits, and a cell phone stipend.
  • Daily meal allowance, volunteer time off, and global travel insurance with emergency assistance.

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