Software Engineer - Validation Toolset
Applied IntuitionSunnyvale, California, United StatesPosted 26 March 2026
Job Description
About Applied Intuition
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.
Meet our software engineers!
Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.
About the role
We are looking for a software engineer excited about delivering cutting-edge automotive validation products with a tight customer feedback loop. This role will work across all parts of validation (systems traceability, data ingestion and KPI visualization, coverage analysis, ML-based failure finding). We are looking for someone who can be hands-on in supporting both our external as well as our internal customers across other functions within the company. At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture.
At Applied Intuition, you will:
Build and deploy high-quality software that will be used by customers across all deployment types (cloud, hybrid, on-prem) using modern tooling and frameworks
Drive the end to end product lifecycle, from the external-facing product to the underlying schemas and infrastructure
Build features to enable customers to perform software-driven validation including a unified data layer for systems models, test case orchestration, safety case management, and KPI analysis
Enable customers to define and measure coverage of their autonomous systems and dynamically failure-find within the state space using machine learning techniques
Design and scale data systems to performantly ingest millions of simulation data points daily and support high-speed querying and visualization through interactive data workflows
Work with internal teams to deliver software to support the teams’ validation workflows
We're looking for someone who has:
At least 3-6 years of industry experience
Experience with data modeling for customer workflows
Experience with containerization and other modern software development workflows
Expertise with modern programming languages (Python, GoLang, ReactJS etc.)
Nice to have:
Expertise in the field of validation for autonomous vehicles
Experience with Kubernetes
Experience delivering enterprise software, including on-prem and/or cloud environments
Expertise in tooling from major cloud providers (AWS, Azure, GCP)
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 equ ... (truncated, view full listing at source)
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