Software Engineer (SDS Core - Evaluation)

The role

You will build datasets, metrics, and visualizations to measure the performance of autonomy stacks. You will work with stack developers to turn questions into rigorous metrics using real road data and synthetic scenario generation.

What you will do

• Define and own metrics for one or more autonomy behavior areas
• Build and curate real and synthetic datasets
• Design visualizations and reporting
• Partner with perception, prediction, and planning teams
• Improve evaluation infrastructure including trigger paths, run time, reliability, and result presentation
• Mentor junior engineers and contribute to defining best practices

Required qualifications

• 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
• Strong knowledge of data frameworks (Spark, Airflow, Kafka, etc.)
• Experience working with large-scale datasets and understanding data-driven development cycles
• Familiarity with machine learning workflows or model training/deployment, especially automation of those processes
• Strong systems thinking and ability to work across multiple parts of the stack (data, infra, and ML)

Nice to have

• Experience with automotive (AV) or robotics systems
• Experience with highly automated ML training workflows
• Prior contributions to systems that connect data-driven model iteration loops (“data flywheel”)

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

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.