Technical Lead Manager, Nuro

• 6+ years of professional or research experience in ML infrastructure, distributed training, or ML systems engineering
• Experience driving complex technical initiatives with stakeholder engagement
• Proven experience leading and growing engineering teams, with a track record of mentoring and inspiring technical talent
• Expertise in PyTorch; familiarity with TensorFlow, and experience optimizing training performance (e.g., host offloading, quantization, reduced-precision training)
• Strong collaboration and communication skills, with a passion for exploring and promoting new approaches and technology

Desirable

• Nuro is seeking an experienced Technical Lead Manager to own the vision for our ML Training stack
• You will lead a team of 6+ engineers to optimize distributed training, job scheduling, model component libraries, and improve upon our performance analysis tools
• In this role you will enable models to train faster and more efficiently – accelerating our self-driving roadmap of commercial and personal mobility
• As TLM for Nuro's ML Training Infrastructure, you will define and execute the ML Framework roadmap, and drive initiatives in distributed training and efficiency optimizations to scale deep learning models
• Define and drive the ML framework roadmap, setting technical direction for the Training Infrastructure team
• Build and maintain a scalable, distributed training platform with an emphasis on efficiency, determinism, and reproducibility for large-scale training jobs
• Detect, diagnose, and resolve performance bottlenecks across training workflows, including input data pipelines and distributed training loops
• Optimize scheduling, training performance, resource utilization, and ensure consistent, reproducible model training outcomes
• Mentor and grow a high-performing team, fostering technical excellence and collaboration
• Drive improvements in software quality that measurably raise reliability, efficiency, reproducibility, and determinism