Software Engineer - Validation Toolset

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and valued at $15 billion, the company creates the digital infrastructure needed to bring intelligence to every moving machine on the planet. Serving the automotive, defense, trucking, construction, mining, and agriculture industries, Applied Intuition focuses on tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, rely on Applied Intuition’s solutions. Headquartered in Sunnyvale, California, the company has offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.

We are an in-office company, expecting employees to primarily work from their Applied Intuition office 5 days a week. However, we recognize the importance of flexibility and trust employees to manage their schedules responsibly, including occasional remote work or adjusted hours for personal commitments.

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, including systems traceability, data ingestion and KPI visualization, coverage analysis, and ML-based failure finding. You will support both external and internal customers across various functions within the company.

At Applied Intuition, engineers take ownership of technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.

Responsibilities

• Build and deploy high-quality software used by customers across cloud, hybrid, and on-prem deployment types using modern tooling and frameworks.
• Drive the end-to-end product lifecycle, from external-facing product to 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 supporting their validation workflows.

Requirements

• 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 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).

Benefits

• Comprehensive health, dental, vision, life, and disability insurance coverage.
• 401k retirement benefits with employer match.
• Learning and wellness stipends.
• Paid time off.

Pay

The base salary range for this full-time position is $125,000 - $222,000 USD annually. Compensation includes base salary, equity (options and/or restricted stock units), and benefits. The actual base salary offered will be influenced by factors such as experience, credentials, educational attainment, skill level, interview performance, and the level and scope of the position.