Software Engineer - Systems Engineering AI Tooling

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · SDS Software Engineering

Software Engineer role focused on building internal platforms and AI workflows for autonomous vehicle development and validation. The role involves designing, developing, and productionizing scalable backend systems and tooling to connect requirements, modeling, validation, and test data, ensuring end-to-end traceability and supporting safety-critical development processes.

What you'd actually do

  1. Design, develop, and productionize scalable internal tools and AI workflows that support system engineering and validation for autonomous vehicle programs.
  2. Integrate data across requirements management, modeling, and validation tools to provide end-to-end traceability from system requirements to test results.
  3. Build backend services and APIs to unify distributed engineering artifacts into a cohesive, reliable platform.
  4. Develop dashboards and KPIs to measure requirement coverage, trace completeness, and validation progress.
  5. Own and evolve the core traceability data model, enabling bidirectional traceability, versioning, baselining, and change impact analysis.

Skills

Required

  • Python
  • backend software development
  • internal tooling
  • platform engineering
  • REST or GraphQL APIs
  • data modeling
  • schema design
  • integrating systems via APIs
  • scalable backend services
  • CI/CD pipelines
  • systems thinking

Nice to have

  • requirements management tools
  • system modeling tools
  • dashboards
  • metrics frameworks
  • traceability platforms
  • configuration management
  • compliance-driven environments
  • safety-critical systems
  • regulated systems
  • startup environment

What the JD emphasized

  • production-grade
  • safety-critical
  • regulatory needs

Other signals

  • internal tooling
  • AI workflows
  • autonomous vehicle programs
  • traceability
  • backend services
  • production-grade systems