Senior Software Engineer - Data Infrastructure
Applied Intuition· Data & Compute Platform
Sunnyvale$153k - $222kFull-timePosted 3mo ago
About the role
Infrastructure engineer role focused on scaling open-source data infrastructure across the full data lifecycle (collection, ingestion, storage, querying, retrieval) to support Massive data volumes for Applied Intuition's platform. Hands-on with data products and collaboration across business units to design and develop external and internal products.
Responsibilities
- Scale infrastructure to support all deployment types (cloud, hybrid, on-prem) and across regions
- Be involved in the end to end data lifecycle, from the external-facing product to the underlying platform and infrastructure for it
- Build features to tune processing pipeline for fast data ingestion and indexing depending on customer's needs and workloads
- Enable product workflows that expose performant query interfaces and offer easy-to-use integration hooks
- Develop and deploy high-quality software using modern tooling and frameworks, especially open-source technologies
Qualifications
- A Bachelor's degree in Computer Science, Software Engineering, or equivalent
- 3+ years of professional experience
- Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)
- Experience with containerization and other modern software development workflows
- Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
Skills
Required:Bachelor's degree in CS/Software Engineering or equivalentExperience with SparkExperience with KafkaContainerization
Benefits
- base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off
Last updated Oct 18, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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