Job Description
A Perception ML Data Engineer at Nuro focuses on developing systems that leverage machine learning and robotics to improve autonomous vehicle perception, data curation, synthetic data generation, and model validation to enhance safety and performance in diverse real-world scenarios.
Key Responsibilities
- Design and develop systems leveraging VLMs to curate geographically diverse datasets matching real-world driving distributions
- Develop high-fidelity synthetic data frameworks across sensor modalities
- Optimize ML-powered validation processes for data quality and model readiness
- Create solutions for data discovery, auto-labeling, and synthetic data generation in collaboration with infrastructure and autonomy teams
- Architect hybrid systems combining deep learning and classical algorithms for scalable data curation and annotation
- Design frameworks to assess and improve the fidelity of synthetic data
- Build tools to identify data gaps affecting perception model performance
- Collaborate with engineers to convert raw sensor streams into targeted training data addressing perception and autonomy gaps
Requirements
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
- 4 years of industry software engineering experience with Python fluency and C/C++ familiarity
- Proven ability to lead cross-functional technical projects from design to completion
- Practical experience in implementing ML solutions and integrating them into real-world systems
Benefits & Perks
Compensation/salary range: $193,930.00 to $291,150.00 per year
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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