Software Engineer (SDS Core - Evaluation)

Job summary

Responsibilities

SDS Evaluation owns how Applied Intuition measures the performance of its autonomy stacks. You'll build the datasets, metrics, and visualizations that tell perception, prediction, and planning developers whether a change improved the stack, where it remains weak, and what to work on next — the…

• Define and own metrics for one or more autonomy behavior areas, from requirements through implementation
• Build and curate the datasets — real and synthetic — that those metrics run against
• Design visualizations and reporting that make progressions and regressions obvious at a glance
• Partner with perception, prediction, and planning teams to turn their open questions into measurable signal
• Improve evaluation infrastructure: trigger paths, run time, reliability, and result presentation

What they're looking for

• Master’s, PhD, or equivalent work experience in Engineering such as Computer Science, Electrical Engineering, Software Engineering
• 3–5 years of experience in software or data infrastructure engineering
• Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure.
• Proficiency in Python and strong knowledge of data frameworks (Spark, Airflow, Kafka, etc.)
• Experience working with large-scale datasets and understanding data-driven development cycles

Tech stack

• Python
• Spark
• Airflow
• Kafka