Senior Forward Deployed Engineer II (AI/ML)

Added
2 minutes ago
Type
Full time
Salary
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Related skills

python kubernetes go gpu inference

๐Ÿ“‹ Description

  • Partner with strategic AI-native enterprises and AI startups to architect, deploy, optimize, and
  • 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
  • Enable customer-facing technical teams and partner teams through validated deployment patterns

๐ŸŽฏ 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
  • LLM optimization techniques including continuous batching, quantization, KV-cache optimization, and
  • 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

๐ŸŽ Benefits

  • Competitive array of benefits to support well-being (varies by location).
  • Employee Assistance Program, Local Employee Meetups, flexible time off policy.
  • Reimbursement for relevant conferences, training, and education.
  • Access to LinkedIn Learning's 10,000+ courses.
  • Equity compensation including equity grants upon hire and Employee Stock Purchase Program.
  • Potential for bonus based on company and individual performance.
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