Applied Intuition
Software Engineer - Insights Platform
About this role
Applied Intuition seeks a Software Engineer to build the data and analytics infrastructure powering their physical AI development platform. You'll own critical systems for data ingestion, querying, visualization, and governance that support autonomous vehicle programs at leading automotive companies.
What you'll do
- Design and maintain data ingestion pipelines ensuring correctness and reliability at scale across diverse data sources
- Optimize query infrastructure and critical path systems that every platform user depends on daily
- Build dashboarding and visualization tools tailored to physical AI workflows including playback and geospatial views
- Develop agentic analytics architecture enabling AI-driven natural language data discovery and analysis
- Implement data governance and discoverability systems to manage scaling data volumes
- Support dataset lifecycle management and data transformation tools for user-driven ETL flows
What they're looking for
- Production data infrastructure and platform engineering
- Distributed systems design
- Large-scale data processing and query execution
- Backend engineering
- Data warehousing and analytics
- Python or similar backend languages
- System architecture and optimization
- Data governance and metadata management
Benefits
- 5-day in-office work in Sunnyvale with flexibility for occasional remote work
- High-ownership role on foundational infrastructure impacting industry leaders
- Opportunity to shape long-term platform architecture at early stage
- Work on cutting-edge physical AI and autonomous systems
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Applied Intuition
Applied Intuition builds autonomous vehicle and defense systems software, including motion planning algorithms, simulation infrastructure, and autonomy integration platforms for aerial and ground platforms. The company is hiring for security engineers, robotics/autonomy software engineers, hardware-in-the-loop specialists, and IT operations professionals to support its growing physical AI operations.
- Website
- appliedintuition.com
Likely interview questions
- Walk us through a production data infrastructure project you've built—what were the key reliability challenges you faced, and how did you ensure data correctness and freshness at scale?
- Describe your experience with large-scale query execution and query optimization. How have you approached latency and performance when queries are critical to your product's user experience?