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Senior Embedded Software Engineer
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AI Summary
Build scalable data infrastructure to monitor cost, margin, and performance across fal’s AI product ecosystem. Instrument production systems, design low-latency pipelines, and collaborate with engineering teams to enable real-time analytics. Requires 5+ years of software/data engineering experience with a focus on production-grade systems and cross-team collaboration.
Key Highlights
Design and operate ingestion pipelines for cost, margin, and usage analytics using BigQuery and low-latency stores (e.g., ClickHouse).
Instrument core infrastructure (CPU/GPU workloads) and partner APIs to capture real-time telemetry for observability.
Partner with Infra, Data, and Product Engineering to define instrumentation standards and data contracts.
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Key Responsibilities
Instrument fal’s production infrastructure to capture CPU/GPU and request-level telemetry signals.
Build and maintain ingestion pipelines for partner APIs, compute vendors, and internal services into BigQuery and low-latency analytical stores.
Design and operate ETL pipelines for cost, margin, and usage analytics with durable, observable workflows.
Stand up a lightweight, low-latency write path for analytics-grade telemetry used by data and product teams.
Collaborate with Infra, Data, and Product Engineering to define instrumentation standards and data contracts.
Technical Skills Required
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Benefits & Perks
$180,000-225,000 annual compensation plus equity
Health, dental, and vision insurance (US)
Relocation assistance to San Francisco
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Nice to Have
Experience instrumenting GPU/accelerator workloads or infrastructure-cost-heavy systems
Exposure to FinOps or infrastructure cost modeling at a cloud-native company
Early-stage or fast-scaling startup experience
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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