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Staff Software Engineer – Vector Search
| Company | Databricks |
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| Location | Mountain View, CA, USA |
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| Salary | $190000 – $260000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Expert or higher |
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Requirements
- 10+ years of industry experience building and operating large-scale distributed systems.
- Expertise in Search Engines (vector and/or keyword-based), including areas such as indexing, ranking, retrieval infrastructure, and query execution.
- Familiarity with storage systems and database internals.
- Strong foundation in algorithms, data structures, and system design, especially as applied to real-world data processing and retrieval problems.
- Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value.
- Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).
- Strong communication skills and comfort operating in fast-moving, cross-functional environments.
- A strategic mindset with the ability to align engineering execution with longer-term product and company goals.
- Passion for mentoring and developing other engineers.
Responsibilities
- Lead design and implementation of critical components of the Vector Search engine that enable scalable, low-latency search and retrieval across large, multimodal datasets.
- Solve complex technical challenges in areas like indexing, ranking, query execution, and storage — blending traditional information retrieval and modern vector search techniques.
- Collaborate with infrastructure, product, and research teams to define APIs and developer workflows that simplify building production-grade AI applications.
- Deliver high-quality, production-ready code and services end-to-end — including performance tuning, resiliency improvements, and debugging in live environments.
- Help raise the engineering bar through code reviews, design discussions, and mentorship.
- Contribute to longer-term technical planning and support strategic initiatives in search infrastructure and AI systems.
Preferred Qualifications
No preferred qualifications provided.
