Senior Software Engineer, Model Serving

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

At Databricks we are passionate about enabling data teams to solve the worlds 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 worlds 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. It offers real-time low-latency inference governance monitoring and lineage. As AI adoption accelerates Model Serving is a core pillar of the Databricks platform enabling customers to operationalize models at scale with strong SLAs and cost efficiency.

As a Senior Engineer youll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput low-latency inference across CPU and GPU workloads influence architectural direction and collaborate closely across platform product infrastructure and research teams to deliver a world-class serving platform.

The impact you will have:

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.

What we look for:

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.

Required Experience:

Senior IC

The impact you will have:

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.

What we look for:

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.

Required Experience:

Senior IC