Applied Intuition
Software Engineer (SDS Core - Evaluation)
$125K–$222K
Sunnyvale · On-site · Full-time · Posted Feb 10, 2026
- Experience
- 3–5 years in software or data infrastructure engineering.
- Education
- Master’s, PhD, or equivalent work experience in Engineering, such as Computer Science, Electrical Engineering, or Software Engineering.
About the job
Builds datasets, metrics, visualizations, and evaluation infrastructure to measure and improve autonomy stack performance.
What you'll do
- Define autonomy behavior metrics and build real and synthetic datasets for evaluation.
- Create visualizations and reporting, and improve evaluation speed, reliability, and results presentation.
- Partner with autonomy teams to turn development questions into measurable signals; mentor junior engineers.
What they ask for
- Master’s, PhD, or equivalent work experience in Engineering, such as Computer Science, Electrical Engineering, or Software Engineering.
- 3–5 years of experience in software or data infrastructure engineering.
- Expertise building and scaling data pipelines, distributed systems, or ML infrastructure.
- Proficiency in Python and strong knowledge of data frameworks; experience with large-scale datasets and data-driven development cycles.
Nice to have
- Experience with automotive (AV) or robotics systems.
- Experience with highly automated ML training workflows or systems connecting data-driven model iteration loops (“data flywheel”).
Pay
$125K – $222K (base salary)
Tools
Python, Spark, Airflow, Kafka
AI focus
Evaluates autonomy stacks, including perception, prediction, and planning, using real and synthetic scenarios; the role also involves familiarity with ML workflows or model training and deployment.
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