Applied

Systems Engineer, Insights and Analytics (SDS Trucking)

Sunnyvale. Posted 17 days ago

The role

You will own insights, analytics, and development metrics for the autonomy trucking team. You will analyze driving data to help the self-driving trucking team understand system performance and make engineering decisions.

What you will do

  • Define development and autonomy performance metrics and implement them in code
  • Build data pipelines, analyses, and tools using Python, SQL, or similar technologies
  • Track metrics over time and guide engineering priorities with data
  • Read autonomy stack code to trace system behavior to requirements and root causes
  • Work with systems engineers to translate requirements into measurable metrics
  • Drive verification and validation across simulation, closed-course, and on-road testing
  • Build dashboards and readiness views for engineering leadership and customers
  • Collaborate across autonomy, perception, hardware, safety, and test teams

Required qualifications

  • 3+ years of experience in data science, data engineering, systems engineering, V&V, or a related role in ADAS, autonomous driving, or robotics
  • MS/BS in Systems, Electrical, Mechanical, Computer Science, Robotics, Data Science, or equivalent
  • Hands-on experience analyzing large datasets with Python and SQL
  • Experience defining and reporting metrics that drive decisions on a development program
  • Ability to read production code (Python, C++, or similar)
  • Strong systems engineering fundamentals: requirements, functional decomposition, architecture, and test planning
  • Experience with V&V for ADAS/AD or robotics
  • Working knowledge of fault management and a solid understanding of AV stack components
  • Strong communication skills

Nice to have

  • L4 autonomy experience
  • Autonomous trucking, off-highway, or off-road autonomy experience
  • Simulation-based validation and scenario-based testing

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.