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Principal Software Engineer - Distributed Systems & AI Platform Infrastructure
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AI Summary
Build and scale the core platform powering fal’s generative media ecosystem. Design and implement distributed compute infrastructure for AI workloads, ensuring reliability and low latency at global scale. Requires deep expertise in distributed systems, Python/Rust, and performance optimization.
Key Highlights
Build and scale core Python/Rust platform for AI workload orchestration and GPU autoscaling
Design systems to handle 100x current traffic with low latency worldwide
Leverage AI to automate reliability and performance in complex distributed systems
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Key Responsibilities
Build core Python/Rust platform components including request routing, AI workload orchestration, scheduling, GPU autoscaling, large-scale file storage, and queueing
Produce forward designs for platform evolution to scale to 100x current traffic while maintaining low latency globally
Profile and tune low-level CPU and memory performance for high-throughput systems
Leverage AI to automate reliability and operational load in complex distributed systems
Drive performance and reliability decisions using observability tools and metrics
Technical Skills Required
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Benefits & Perks
Health, dental, and vision insurance (US)
Relocation assistance to San Francisco
Equity compensation
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Nice to Have
Experience with AI/ML inference or training infrastructure
High-performance systems programming (async runtimes, zero-copy, memory-safe concurrency)
Background in building multi-tenant compute platforms
Understanding of networking fundamentals and performance characteristics
Familiarity with GPU workload characteristics and scheduling constraints
Job Description
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.
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