Software Engineer (SDS Core - Evaluation)

Job description

Job responsibilities

• 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
• Mentor junior engineers and contribute to defining best practices for data-centric development

Job requirements

• 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
• 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)
• Interest in seeing the direct impact of your infrastructure work on how vehicles perform and improve