Senior Software Engineer, Nuro

• 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
• 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

Desirable

• 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
• 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
• You’ll solve autonomy’s hardest data challenges through applied ML and systems rigor:
• 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