Senior Life Cycle Engineer, PyTorch - Deep Learning

About the role

Join a diverse, ambitious team focused on improving developer productivity for NVIDIA's AI software ecosystem. We ensure that key deep learning frameworks run optimally on NVIDIA hardware, enabling developers and researchers to push the boundaries of what's possible in AI.

Responsibilities

• Develop and maintain continuous development systems through various software verticals spanning from end-users, through layers of open-source software, down to NVIDIA's math libraries, compilers, and drivers.
• Create tools and infrastructure, debug issues as they arise, and fix problems across the entire stack.
• Stabilize and deliver the entire NVIDIA software stack to the world at global scale.
• Drive software quality and reliability without on-call duties.

Requirements

• MS or PhD in Computer Science or Engineering (or equivalent experience).
• 5+ years of experience building or supporting large software projects or equivalent.
• Proficiency in C++ and/or Python.
• Proven expertise with scripting languages.
• Experience in continuous build and release management for Linux systems.
• Development of cloud-hosted developer environments and CI/CD systems.

Skills

• Software development experience with many contributing teams.
• Proven experience shipping multi-cloud large-scale systems and supporting those systems in production.
• Experience with C++ build systems, including dependency issues, symbol resolution, and linking problems.
• Strong communication, empathy, dependability, patience, and persistence.
• Drive to contribute to and work with globally distributed teams.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 2026.