Senior Software Engineer, Perception ML Data
$193.93k - $291.15kFull-time
Nuro
About The Role We’re a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Perception ML Data Engineer, you’ll bridge machine learning innovation and autonomy infrastructure to ensure our models learn from the most relevant, diverse, and high-quality data. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely. Design and advance systems that :
- Leverage VLMs to curate geographically diverse datasets matching real-world driving distributions
- Develop high fidelity synthetic data frameworks across sensor modalities
- Optimize ML-powered validation of data quality and model readiness
- High-Output Generalist: Work across autonomy, infrastructure, databases, simulation, and ML development, gaining domain knowledge in Robotics and ML.
- Robotics Expert: Build state of the art solutions for data discovery, auto-labeling, and synthetic generation/reconstruction in close collaboration with Infrastructure and Autonomy.
- Architect hybrid systems combining deep learning and classical algorithms for scalable data curation and annotation.
- Design frameworks to quantify synthetic data’s real-world fidelity and improve synthetic data rendering quality.
- Build tools that automatically surface data gaps impacting perception model performance.
- Collaborate with autonomy engineers to turn raw sensor streams into targeted training priorities – addressing critical gaps that limit perception and autonomy performance
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area.
- Experience:
- 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.
- You possess practical experience in implementing ML solutions and enjoy integrating them into real-world systems. Your focus is on deploying impactful, integrated solutions rather than purely theoretical ML experimentation.
- Familiarity working with synthetic or autonomous driving data.
- Experience building ML systems for robotic applications
Vacancy posted a month ago
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