Related skills
terraform python kubernetes go cuda📋 Description
- Embedded Customer Engineering: partner with ANEs to migrate apps and build PoCs.
- Build Scalable Assets & Tooling: create migration planners, reusable systems, automation scripts (Terraform/Pulumi).
- Develop AI "Starter Kits": pre-built GenAI agents and notebooks (LangGraph, CrewAI).
- Drive the Product Roadmap: frontline technical voice for CPTO; surface gaps to inform product.
- New Tech Validation: lead testing and integration of emerging AI frameworks for a strong developer experience.
- Partner & GTM Enablement: co-develop delivery frameworks with partners for scalable deployments.
🎯 Requirements
- AI/ML architecture & domain expertise with large-model hosting.
- Distributed systems & infrastructure mastery: GPUs, CUDA, Kubernetes, IaC.
- High-performance inference & hardware optimization.
- Production-grade Python or Go; tooling and automation.
- Data-driven performance insights: benchmark infra and tune GPUs.
- Consultative execution: credibility with CTOs/lead architects; migrations.
🎁 Benefits
- Career development: access to training and conferences.
- Flexible time off and wellbeing programs.
- Competitive benefits; Employee Assistance Program.
- Equity compensation and Employee Stock Purchase Program.
- Equal-opportunity employer and inclusive culture.
- Reimbursement for conferences, training, and education.
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