Staff Software Engineer, AI Inference Gateway

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🕒 Setembro 19

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $220.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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Logo of Salad

Salad

11 - 50 funcionários

Fundada em 2018

🤖 Inteligência Artificial

💳 Fintech

💰 $17.000.000 Series A em 2022-03

Artificial Intelligence • Cloud Computing • Fintech

A Salad é uma empresa de cloud computing especializada em democratizar o acesso a recursos de GPU para aplicações de IA e machine learning. A empresa oferece a SaladCloud, uma plataforma que conecta GPUs ociosas de consumidores a empresas que precisam de capacidade computacional, possibilitando uma redução significativa nos custos de serviços de cloud. A Salad permite que usuários implementem modelos de IA/ML em escala de forma eficiente e acessível, aproveitando uma ampla rede de nodes distribuídos em todo o mundo.

Descrição

• Own the AI Gateway system end to end, including request routing, streaming, batch/async job handling, and horizontal scaling across multiple gateway servers • Build and tune fleet-efficiency algorithms for node autoscaling, performance scoring, and eviction of underperformers • Operate and scale inference nodes running vLLM, llama.cpp, and similar servers • Design and maintain OpenTelemetry-based observability across the gateway and fleet • Maintain accurate pay-per-token and subscription billing integrations based on telemetry • Benchmark new models, quantizations, and GPU hardware for approximately 25% of working time • Work with product and marketing teams to decide what enters production • Collaborate on cross-system design and integrations with Salad engineering • Explain technical trade-offs to technical and non-technical teammates • Report directly to the CTO • Participate in shared after-hours support

🎯 Requisitos

• Strong production Rust experience, ideally on high-throughput networked services • Hands-on experience running LLM inference servers (vLLM, llama.cpp, TGI, TensorRT-LLM, or similar) • Knowledge of KV cache behavior • Distributed systems fundamentals: load balancing, backpressure, failure handling, and unreliable nodes • Experience operating systems with metrics, tracing, and on-call responsibilities • Willingness to be on-call • Clear written and verbal communication • Nice to have: Pingora, Tokio, or proxy/gateway internals • Nice to have: experience with heterogeneous or consumer-grade GPU fleets, CUDA, or ROCm • Nice to have: quantization formats including GGUF, AWQ, GPTQ, and FP8 • Strong in at least two of Rust, LLM inference servers, and distributed systems

🏖️ Benefícios

• Unlimited PTO • 75% of health insurance premiums covered for you and your dependents • Dental and vision coverage • 401(k) plan • Stock options • Company-provided computer • $500 WFH budget • Fully remote, with flexible hours

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