Software Engineer - Insights Platform

Applied Intuition • Sunnyvale, CA

8d • Onsite

About The Position

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• Ingestion & Data Reliability
• Query Critical Path
• Dashboarding & Autonomy-Native Visualization
• Agentic Analytics
• Data Discoverability & Governance
• Dataset Lifecycle Management
• Data Wrangling & Transformation

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees