2 дня назад
Solutions Engineer (AI Infrastructure)
155 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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 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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