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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Artificial Intelligence
Posted
Mar 6, 2026
Salary
$125,000–$185,000 a year
Full-time

Software Engineer - Systems Engineering AI Tooling

Job description

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.;

Job responsibilities

  • Design, develop, and productionize scalable internal tools and AI workflows that support system engineering and validation for autonomous vehicle programs.
  • Integrate data across requirements management, modeling, and validation tools to provide end-to-end traceability from system requirements to test results.
  • Build backend services and APIs to unify distributed engineering artifacts into a cohesive, reliable platform.
  • Develop dashboards and KPIs to measure requirement coverage, trace completeness, and validation progress.
  • Own and evolve the core traceability data model, enabling bidirectional traceability, versioning, baselining, and change impact analysis.
  • Refactor internal prototypes into production-grade, certifiable systems with strong reliability, access control, and auditability.
  • Collaborate closely with systems engineering, safety, and autonomy teams to ensure tooling supports compliance and safety case development.
  • Scale internal tooling to support production programs and future regulatory needs

Job requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Robotics, Electrical Engineering, or a related technical field.
  • 2+ years of professional experience in backend software development, internal tooling, or platform engineering.
  • Strong proficiency in Python and familiarity with Java or C/C++.
  • Experience designing and building REST or GraphQL APIs.
  • Experience with data modeling, schema design, and integrating systems via APIs.
  • Experience building scalable backend services and working with CI/CD pipelines.
  • Strong systems thinking and the ability to work across complex, cross-functional technical domains.

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