Autonomy Analytics Systems Engineer

Applied Intuition; Sunnyvale (CA); Híbrido; USD 140.000 - 200.000; Jornada completa

Descripción de la vacante

Applied Intuition in Sunnyvale, CA is seeking a Systems Engineer with a strong data background to own insights, analytics, and development metrics for our SDS trucking team. You’ll analyze driving data to help the self-driving trucking team understand system performance, identify areas for improvement, and make informed engineering decisions.

You will combine hands‑on data analysis, statistical reasoning, and systems engineering to turn complex data into insights that shape development, support

Formación

• Experience analyzing large datasets with Python/SQL and statistical methods.
• Ability to define and report metrics that drive program decisions.
• Ability to read production code (Python/C++) to trace behavior through a stack.
• Strong systems engineering fundamentals: requirements, decomposition, architecture, test planning.
• Experience with V&V for ADAS/Autonomy or robotics.

Responsabilidades

• Define development and autonomy performance metrics and implement in code against fleet, test, and simulation data.
• Build data pipelines, analyses, and tools to turn large datasets into insights on performance and readiness.
• Track metrics over time, catch regressions, guide engineering priorities with data.
• Read autonomy stack code to trace system behavior back to requirements and root causes.
• Drive verification and validation across simulation, closed-course, and on-road testing.
• Build dashboards and readiness views for engineering leadership and customers.

Conocimientos

Data analysis

Python

SQL

V&V

Systems engineering

Educación

MS/BS in Systems, Electrical, Mechanical, CS, Robotics, Data Science

Herramientas

Python

SQL

C++

Descripción del empleo

Applied Intuition in Sunnyvale, CA is seeking a Systems Engineer with a strong data background to own insights, analytics, and development metrics for our SDS trucking team. You’ll analyze driving data to help the self-driving trucking team understand system performance, identify areas for improvement, and make informed engineering decisions.

You will combine hands‑on data analysis, statistical reasoning, and systems engineering to turn complex data into insights that shape development, support