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Senior Software Engineer, Model ServingDatabricks · San Francisco, California
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Databricks

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Senior Software Engineer, Model Serving

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🗓️ Posted 2026-08-18 San Francisco, California Hybrid ICT
💰 Salary Not shared 📊 Market NA

About the Company

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Databricks' Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models - from traditional ML to fine-tuned and proprietary large language models.

Responsibilities

  • ● Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.
  • ● Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.
  • ● Contribute directly to key components across the serving infrastructure - from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling - ensuring smooth and efficient operations at scale.
  • ● Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.
  • ● Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.
  • ● Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.

Requirements

  • ● 5+ years of experience building and operating large-scale distributed systems.
  • ● Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability).
  • ● Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.
  • ● Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.
  • ● Experience building architecture for large-scale, performance-sensitive CPU/GPU inference systems.
  • ● Strong communication skills and ability to collaborate across teams in fast-moving environments.
  • ● Customer-focused mindset with the ability to align implementation details with product goals.
  • ● Passion for mentoring, growing engineers, and fostering technical excellence.