Senior Forward Deployed Engineer II (AI/ML)

Added
7 minutes ago
Type
Full time
Salary
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Related skills

ai ml cuda ray serve vllm

📋 Description

  • Partner with strategic ANEs and AI startups to architect, deploy, optimize, and scale production AI
  • Optimize distributed inference and runtime performance through benchmarking, GPU efficiency tuning
  • Act as the 'first customer' for DigitalOcean’s AI-native platform capabilities including Inference
  • Build scalable deployment assets including benchmarking systems, automation tooling, AI starter
  • Collaborate with GPU vendors, model providers, infrastructure partners, and ISVs on co-development
  • Ability to travel up to 30% for customer engagements, strategic onsite workshops, ecosystem

🎯 Requirements

  • Experience designing and operationalizing production AI systems including inference workloads
  • Strong hands-on experience with inference and serving frameworks such as vLLM, SGLang, Ray Serve
  • Deep expertise with NVIDIA and AMD GPU platforms and their software ecosystems including CUDA
  • Strong proficiency with Kubernetes (K8s), distributed systems, networking, storage systems
  • Experience with AI orchestration and agent frameworks such as LangGraph, CrewAI, MCP ecosystems
  • Strong production coding skills in Python or Go with experience building tooling, automation

🎁 Benefits

  • Competitive array of benefits including Employee Assistance Program, Local Employee Meetups
  • Reimbursement for relevant conferences, training, and education
  • Access to LinkedIn Learning's 10,000+ courses
  • Bonus eligibility based on company and individual performance
  • Equity compensation including equity grants upon hire and Employee Stock Purchase Program
  • Equal opportunity employer
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