The ad says“Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring”
The ad says“Experience building production data infrastructure, platform engineering, or distributed systems”
The ad says“Experience with large-scale data processing and query execution at production scale”
The ad says“Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring”
The ad says“Experience building production data infrastructure, platform engineering, or distributed systems”
The ad says“Experience building production data infrastructure, platform engineering, or distributed systems”
The ad says“Experience with large-scale data processing and query execution at production scale”
The ad says“Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring”
The ad says“Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring”
The ad says“Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring”
Values
The ad says“Bonus: experience with LLM tool use, developing agentic workflows, or semantic layers for natural language interfaces”
The ad says“Familiarity with building for observability: metrics, alerting, and operational health of data systems”
The ad says“Bonus: exposure to multimodal data, geospatial systems, or AV/robotics tooling”
The ad says“Experience developing, testing, and shipping software with coding agents”
The ad says“Experience with data lakehouse architectures, table formats, or query federation is a strong plus”
The ad says“Bonus: exposure to multimodal data, geospatial systems, or AV/robotics tooling”
The ad says“Bonus: experience with LLM tool use, developing agentic workflows, or semantic layers for natural language interfaces”
The ad says“Familiarity with building for observability: metrics, alerting, and operational health of data systems”
The ad says“Bonus: exposure to multimodal data, geospatial systems, or AV/robotics tooling”
The ad says“Familiarity with building for observability: metrics, alerting, and operational health of data systems”
The ad says“Experience with data lakehouse architectures, table formats, or query federation is a strong plus”
The ad says“Bonus: experience with LLM tool use, developing agentic workflows, or semantic layers for natural language interfaces”
The ad says“Experience with data lakehouse architectures, table formats, or query federation is a strong plus”
Applied Intuition builds the toolchain that enables the world’s leading physical AI programs to develop, validate, and deploy these complex systems safely. Our software is used by top automotive OEMs, trucking companies, and robotaxi programs to accelerate the path from research to production
The Insights platform is the data and analytics layer underlying Applied Intuition’s physical AI development tooling suite
We own the full stack — from ingestion and query infrastructure to data discoverability, dataset management, and next-generation agentic analytics
Our platform gives autonomy engineers complete visibility and control over the data their workflows produce: sensor logs, simulation runs, model eval results, KPIs, and more. It gives users the flexibility to analyze and operationalize that data quickly, minimizing any technical barriers
We’re building the next-generation Insights platform for physical AI — one that scales alongside the fleets, simulation environments, and end-to-end models that define where the industry is headed
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
This is a high-ownership role on a small team building the infrastructure that the entire autonomy development workflow depends on
You’ll have end-to-end ownership of systems used daily by engineers at some of the most sophisticated autonomous vehicle programs in the world — at a stage where your architectural decisions will shape the platform for years to come
Preferred experience
Experience building production data infrastructure, platform engineering, or distributed systems
Strong backend engineering fundamentals: API design, service reliability, query optimization, distributed system trade-offs, telemetry and monitoring
Experience with large-scale data processing and query execution at production scale
3+ years of industry experience
Bonus: experience with LLM tool use, developing agentic workflows, or semantic layers for natural language interfaces
Comfort operating across the stack — from storage and query engines to APIs and product-facing tooling
Experience with data lakehouse architectures, table formats, or query federation is a strong plus
Familiarity with building for observability: metrics, alerting, and operational health of data systems
Bonus: exposure to multimodal data, geospatial systems, or AV/robotics tooling
Experience developing, testing, and shipping software with coding agents
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to ap