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60 Databricks Staff Software Engineer Jobs Hiring in CA

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What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

What are the most popular jobs at Databricks in California?

What are the most popular states for Databricks Staff Software Engineer Jobs?

Infographic showing various Staff Software Engineer job openings at Databricks in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, and 7% Remote job distribution.

Staff Software Engineer, Foundational Model Serving

Databricks

San Francisco, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Databricks is a leading data and AI company that empowers data teams to tackle complex challenges. The Staff Software Engineer will design and build systems for high-throughput, low-latency inference on GPU workloads, collaborating across teams to enhance the foundational model API product.
Responsibilities:
• Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.
• Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.
• Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.
• Contribute directly to key components across the serving infrastructure — from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers — 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.
• Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.
• Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.
Qualifications:
Required:
• 10+ years of experience building and operating large-scale distributed systems.
• Experience leading high-scale operationally sensitive backend systems.
• A track record of up-leveling teams engineering excellence.
• 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.
• Strong communication skills and ability to collaborate across teams in fast-moving environments.
• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.
• Passion for mentoring, growing engineers, and fostering technical excellence.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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