Nvidia Director Software - CUDA Python 

United States, Texas 

615436195

What you will be doing:

• Lead both technically and managerially for the CUDA teams creating a ‘delightful Pythonic CUDA developer experience: build vision, strategy, and feature roadmaps.

• Develop strategic direction for the group and foster software quality improvement for CUDA Python stack deployed on multi-GPU products/systems.

• Thrive in a highly dynamic and diverse environment, showing strong interpersonal skills, insightful organizational and exceptional communication abilities, and a real passion for working as a single focused team.

• Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are performing in the most efficient and transparent manner.

• Collaborate with peer engineering teams, program and product management, and partners to ensure product requirements, goals and objectives are met and exceeded.

• Highly resilient; pursues every task with drive and a sense of urgency.

• Knowledge/skills to stay on top of the latest Python developer trends & technologies, and be able to internalize and communicate how new technologies can be integrated into NVIDIA’s Python ecosystem.

• Act as a player-coach and are not be afraid of rolling up your sleeves and jumping into details.

• You are passionate about mentoring, developing, and motivating a high-performing team to drive impact.

What we need to see:

• MS, or Ph.D. in CS, EE (related technical field) or equivalent experience

• 15+ overall years of experience in the software industry. 8+ years in strong technical leadership positions (technical director, architect). 5+ years as Director of engineering level management

• A ‘Python developer at heart’ with a solid understanding of Python syntax, semantics, data structures, and object-oriented programming.

• Deep familiarity with Python developer eco-system and prior experience of developing Python libraries or contributing to popular frameworks.

• Success leading complex software products through the full product life cycle (definition, development, delivery, maintenance/support, end-of-life) in Agile environment.

• Prior familiarity with GPU compute programming model frameworks such as CUDA, NVIDIA RAPIDS is a plus