Software Engineer SDS Core Evaluation

You will define and implement autonomy metrics, build real and synthetic evaluation datasets, and create visualizations that make results easy to interpret. You will partner with perception, prediction, and planning developers, improve evaluation infrastructure, and mentor junior engineers.

Responsibilities

• Define and own metrics for autonomy behavior areas
• Build and curate real and synthetic evaluation datasets
• Design visualizations and reporting for progressions and regressions
• Partner with perception prediction and planning teams to create measurable signals
• Improve evaluation infrastructure including trigger paths runtime reliability and result presentation
• Mentor junior engineers and define data-centric development practices

Requirements

• Master’s degree PhD or equivalent work experience in an engineering discipline
• 3–5 years of software or data infrastructure engineering experience
• Experience building and scaling data pipelines distributed systems or ML infrastructure
• Proficiency in Python
• Knowledge of Spark Airflow Kafka or similar data frameworks
• Experience with large-scale datasets and data-driven development cycles
• Familiarity with machine learning workflows or model training and deployment automation
• Systems thinking across data infrastructure and ML

Benefits

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