Software Engineer, Distributed Systems

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About this role

Software Engineer, Distributed Systems San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load. Key responsibilities - Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc - Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world - Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems - Profile and tune low level CPU and memory performance Requirements - 3+ years experience building distributed compute and orchestration platforms in Python or Rust - Strong understanding of distributed systems fundamentals:

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