Director, Software - CUDA Python

$308,000 - $471,500/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The CUDA Python Director at NVIDIA is a leadership role responsible for guiding the CUDA Python charter, influencing the development and delivery of CUDA Python releases in collaboration with the Python community. This position requires a blend of technical and managerial skills to lead a dedicated team of Python developers, ensuring the execution of projects aligns with the strategic vision for CUDA Python software. The director will foster a collaborative environment, prioritize software quality, and drive innovation in the CUDA Python ecosystem.

Responsibilities

• Lead both technically and managerially for the CUDA teams to create a delightful Pythonic CUDA developer experience.
• Build vision, strategy, and feature roadmaps for CUDA Python software.
• Develop strategic direction for the group and foster software quality improvement for the CUDA Python stack deployed on multi-GPU products/systems.
• Continuously review and identify improvement opportunities in established processes, infrastructure, and practices.
• Collaborate with peer engineering teams, program and product management, and partners to ensure product requirements, goals, and objectives are met and exceeded.
• Stay on top of the latest Python developer trends & technologies and communicate how new technologies can be integrated into NVIDIA's Python ecosystem.
• Act as a player-coach, mentoring and motivating a high-performing team.

Requirements

• MS or Ph.D. in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
• 15+ years of overall experience in the software industry.
• 8+ years in strong technical leadership positions (technical director, architect).
• 5+ years as Director of engineering level management.
• Solid understanding of Python syntax, semantics, data structures, and object-oriented programming.
• Deep familiarity with the Python developer ecosystem and experience developing Python libraries or contributing to popular frameworks.
• Experience leading complex software products through the full product life cycle in an Agile environment.

Nice-to-haves

• Prior familiarity with GPU compute programming model frameworks such as CUDA and NVIDIA RAPIDS.

Benefits

• Equity options
• Comprehensive health insurance
• Flexible working hours
• Professional development opportunities
• Diversity and inclusion programs