Staff/Principal Software Engineer – AI Platform Model Serving

🕒 Outubro 27

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $890.000 - $1.690.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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Netflix

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1997

📱 Mídia

👥 B2C

Media • B2C

A Netflix é uma empresa global de entretenimento via streaming e produtora de conteúdo cuja missão declarada é "entreter o mundo". Ela opera uma plataforma de assinatura voltada para o consumidor que oferece programas de TV, filmes e programação original sob demanda, além de manter um site público de carreiras que enfatiza cultura, inclusão e acomodações de contratação. O texto fornecido destaca o foco da Netflix em recrutar talentos mundialmente, suas páginas de cultura e qualidade de vida no trabalho, e seus materiais para empregadores voltados para o público.

Descrição

• Rebuild Netflix’s AI/ML model serving platform and infrastructure for real-time, asynchronous, and agentic workloads • Unify in-house inference infrastructure, third-party model hosting, and external LLM providers under a serving, routing, and experimentation layer • Enable consistent deployment, routing, and A/B testing of models regardless of hosting location • Re-engineer GPU capacity provisioning and utilization, including repurposing off-peak production capacity for internal coding and developer productivity use cases • Lead technical architecture and direction for Netflix’s GenAI and Foundation Model serving strategy • Address disaggregated serving, intelligent routing, speculative decoding, prompt caching, and multi-GPU inference • Embed AI capabilities into member-facing products at global scale • Build durable, resumable execution for long-running agentic workloads • Set and own technical direction for a growing engineering organization • Guide architectural decisions and alignment across multiple teams • Shape long-term technical roadmaps and ensure scalability, maintainability, and business alignment • Partner with product managers, operations, and executive stakeholders • Produce architecture decision records and technical proposals

🎯 Requisitos

• BS/MS/PhD in Computer Science, Applied Math, Engineering, or a related field • 12+ years of relevant experience in AI/ML Infrastructure and distributed systems • Experience with high-traffic distributed services and AI/ML model inference infrastructure • Experience building scalable Foundation Model serving solutions • Practical skills reducing inference latency and costs • Familiarity with NVIDIA Triton Inference Server, vLLM, or SGLang • Experience scaling AI/ML models via Kubernetes • Experience with AWS, Azure, or GCP • Deep expertise in distributed systems and high-performance RPC • GPU/CPU inference optimization, control planes, and experimentation infrastructure • Fluency with modern LLM serving stacks • Track record architecting systems at extreme scale • Experience with high availability, security, and performance • Ability to influence architectural decisions across multiple teams • Ability to shape long-term technical roadmaps • Experience partnering with product managers, operations, and executive stakeholders • Ability to communicate complex technical concepts and produce ADRs and proposals • Open-source contributions in AI/ML, distributed systems, or infrastructure (preferred) • Hands-on AI model building and optimization techniques such as quantization, model compression, or model pruning (preferred) • Proficiency with AI coding tools (preferred) • Experience with model gateways and intelligent routing (preferred) • Exposure to multi-adapter model serving, disaggregated prefill/decode, or large-scale KV cache management (preferred) • Experience with evaluation and benchmarking tools for LLMs and AI agents (preferred) • Knowledge of GPU topology, NVIDIA CUDA programming, and machine learning compilers (preferred) • Knowledge of PyTorch, TensorFlow, JAX, Hugging Face Transformers, vLLM, SGLang, TensorRT-LLM, TGI, DeepSpeed-Inference, NVIDIA Dynamo, CUDA, NCCL, and NVIDIA Nsight

🏖️ Benefícios

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off

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