Software Engineer - Insights Platform

What You'll Work On

• Ingestion & Data Reliability — The entry point for all data on the platform. The correctness, freshness, and reliability of everything downstream depends on getting this right at scale across a diverse set of upstream sources.
• Query Critical Path — The infrastructure every single query in our product flows through. Latency, correctness, and stability here has a direct, visible impact on every user of the platform, every day.
• Dashboarding & Autonomy-Native Visualization — The analytics surface that users actually see. Beyond standard BI, we build visualizations and integrations specific to physical AI: geographic views, log and simulation playback, and domain-specific renderers that don't exist off the shelf.
• Agentic Analytics — The frontier of what Insights becomes. Building the architecture that lets an AI understand a user's intent, reason about the underlying data and physical AI concepts, and deliver answers, charts, and dashboards entirely through natural language.
• Data Discoverability & Governance — The connective tissue that lets users and agents understand what data exists, where it came from, and how to use it. Without this, scale becomes a liability rather than an asset.
• Dataset Lifecycle Management — The operational foundation that keeps the data lakehouse healthy and performant as data volumes grow by orders of magnitude.
• Data Wrangling & Transformation — The tools that give users agency over their own data — enabling custom preparation and ETL flows without ever leaving the product.

What We're Looking For

• 3+ years of industry experience
• Experience building production data infrastructure, platform engineering, or distributed systems
• Experience with large-scale data processing and query execution at production scale
• Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring
• Experience with data lakehouse architectures, table formats, or query federation is a strong plus
• Comfort operating across the stack — from storage and query engines to APIs and product-facing tooling
• Familiarity with building for observability: metrics, alerting, and operational health of data systems
• Experience developing, testing, and shipping software with coding agents

Bonus:

• Experience with LLM tool use, developing agentic workflows, or semantic layers for natural language interfaces
• Exposure to multimodal data, geospatial systems, or AV/robotics tooling

Compensation

Base salary range: $125,000 - $222,000 USD annually. Total compensation includes equity, comprehensive health/dental/vision insurance, 401k with employer match, learning/wellness stipends, and paid time off.