Senior Forward Deployed Engineer I (AI/ML)

Added
2 hours ago
Type
Full time
Salary
Salary not provided

Related skills

python kubernetes go cuda tensorrt

๐Ÿ“‹ Description

  • Partner with strategic ANEs to deploy and scale production AI on DO's AI-Native Cloud.
  • Architect, deploy, and optimize inference/runtime AI workloads across multi-node platforms.
  • Validate AI-native platform capabilities under real workloads; surface gaps to teams.
  • Build scalable deployment assets: benchmarking systems, automation tooling, and playbooks.
  • Collaborate with GPU vendors, model providers, and ISVs to drive adoption.
  • Travel up to 30% for customer engagements; align with NA business hours.

๐ŸŽฏ Requirements

  • 4+ years in Forward Deployed Engineering or similar customer-facing AI roles.
  • Hands-on with inference frameworks (vLLM, Ray Serve, etc.) and LLM optimizations.
  • Distributed systems and GPU infra mastery: CUDA, ROCm, TensorRT, Triton.
  • Strong proficiency with Kubernetes, IaC, and large-scale AI infra architectures.
  • Production coding in Python or Go; tooling, automation, deployment workflows.
  • Excellent cross-functional communication; ability to influence CTOs and architects.

๐ŸŽ Benefits

  • Career development resources and training; LinkedIn Learning access.
  • Comprehensive benefits and well-being programs worldwide.
  • Salary, equity, and performance-based incentives; ESPP eligibility.
  • DigitalOcean is an equal-opportunity employer.
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