Senior Forward Deployed Engineer II (AI/ML)

📋 Description

• Partner with strategic AI-native enterprises and startups to architect, deploy, optimize, and scale
• Optimize distributed inference and runtime performance through benchmarking, GPU efficiency tuning
• Act as the 'first customer' for DigitalOcean's AI-native platform capabilities and surface
• 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

🎯 Requirements

• Experience designing and operationalizing production AI systems including inference workloads
• Hands-on experience with inference and serving frameworks such as vLLM, SGLang, Ray Serve, NVIDIA
• Knowledge of LLM optimization techniques including continuous batching, quantization, KV-cache
• 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

🎁 Benefits

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