Software Engineer - Insights Platform

InvestedintheMission; Sunnyvale (CA); On-site; USD 125,000 - 222,000; Full time

Benefits offered by this job

Equity in the form of options or restricted stock units

Comprehensive health insurance

401k retirement benefits with employer match

Learning and wellness stipends

Paid time off

Job summary

A leading AI technology company based in California offers a high-ownership role on a small team focusing on building critical data infrastructure for the autonomy development workflow. The successful candidate will have at least 3 years of relevant experience and strong backend engineering fundamentals, ensuring data reliability and developing innovative analytics solutions for autonomous vehicle systems. Competitive compensation package includes base salary starting at $125,000 up to $222,000 annually, alongside equity and comprehensive benefits.

Qualifications

• 3+ years of industry experience required.
• Experience building production data infrastructure.
• Strong backend engineering fundamentals are essential.

Responsibilities

• Own end-to-end data systems for autonomy development.
• Build dashboards and analytics specific to physical AI.
• Ensure data ingestion and reliability at scale.

Skills

Backend engineering fundamentals

Large-scale data processing

API design and service reliability

Telemetry and monitoring

Distributed systems trade-offs

Tools

Data lakehouse architectures

Observability tools

Coding agents

Job description

About Applied Intuition

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.

About the Team

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.

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.

Why This Role

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.

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

• Bonus: exposure to multimodal data, geospatial systems, or AV/robotics tooling

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is:$125,000 - $222,000 USD annually.