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
Do you have experience in APIs?, * 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
Benefits & conditions
Pulled from the full job description
Health insurance
401(k) matching
Paid time off
Vision insurance
Dental insurance
Disability insurance
RSU, 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.
About the company
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., 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., Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive
Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
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Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
01:29 MIN
Internship experience and career path reflections
Coffee with Developers - Demi Oshin from musician to computer science student to CODE100
04:05 MIN
Sharing platform architecture learnings and hiring opportunities
Coffee with Developers - Maria Apazoglou
01:19 MIN
From fintech team building to architecture consulting
Event-Driven Microservices: Patterns and Practices - Lutz Heunkhen
09:57 MIN
Introducing the intent engineer to bridge business and tech
The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein
03:13 MIN
The evolving skill set for engineers in the AI era
Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic
03:06 MIN
Navigating the job market as a junior developer
Coffee with Developers - Leah Culver
04:33 MIN
Adapting to AI tools is a key senior engineering skill
Exploring AI: Opportunities and Risks in Development
02:19 MIN
Restructuring the team and improving technical architecture