Software Engineer SDS Core Evaluation
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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.
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
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
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