Software Engineer (SDS Core - Evaluation)
Applied Intuition · Sunnyvale
Roboticsonsitemid-level$125k–$222k
At a glance
Highlights
- Own metrics that measure autonomy stack performance and guide release readiness.
- Evaluate rare and dangerous driving behaviors using real and synthetic data.
- Improve evaluation infrastructure for fast, reliable, easy-to-interpret runs.
Ideal candidate
Systems thinker with 3-5 years in data or ML infrastructure who loves turning open autonomy questions into rigorous measurement and mentoring others while moving fast.
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 data-driven development cycles
- Familiarity with machine learning workflows and automation of model training/deployment
- Strong systems thinking across data, infra, and ML
- Ability to move fast, learn quickly, and mentor others
- remote policy
- In-office 5 days a week with occasional remote flexibility
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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