# Software Engineer - Insights Platform

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** Backend Engineering
**Salary:** $125k – $222k/yr
**Experience:** 3+ years
**Skills:** Data Infrastructure, Distributed Systems, Query Optimization, API Design, Data Lakehouse, ETL, Observability, Telemetry, LLMs, Geospatial Systems, Backend Engineering, Platform Engineering, Large-Scale Data Processing, Metrics, Alerting
**Posted:** 2026-04-21

> Builds scalable data platform for physical AI insights, handling ingestion, querying, visualization, agentic analytics, and governance for autonomy engineers. Requires 3+ years in data infrastructure, distributed systems, and backend fundamentals.

## Job Description

## 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.

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