Senior Life Cycle Engineer, PyTorch - Deep Learning
TECHNICAL STACK · 2 TAGS
OVERVIEW
Are you passionate about building software for large-scale distributed projects? NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. 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.
WHAT YOU'LL BE DOING:
Join a team of experts working together to improve developer productivity for the NVIDIA driven software ecosystem. 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. This is a true software engineering role. The team creates tools and infrastructure, debugs issues as they arise, and fixes problems across the entire stack. Together, we stabilize and deliver the entire NVIDIA software stack to the world at global scale. This is a development-focused role that drives software quality and reliability without on-call duties.
WHAT WE NEED TO SEE:
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
WAYS TO STAND OUT FROM THE CROWD:
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
Great people skills, including communication, empathy, dependability, patience, and persistence
Drive to contribute to and work with globally distributed teams
Join us at NVIDIA, where we are defining the next era of computing and making a lasting impact on the world!
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.QUESTIONS AND ANSWERS
- How much does the Senior Life Cycle Engineer, PyTorch - Deep Learning at NVIDIA pay?
- The posting lists a range of $152K–$288K per year. Ranges reflect what NVIDIA publicly declared on the source posting.
- Where is this Senior Life Cycle Engineer, PyTorch - Deep Learning role based?
- The role is based in US, CA, Santa Clara.
- What experience does NVIDIA expect for this role?
- The posting is tagged as a senior-level role, typically 5+ years of experience. Check the requirements section for specifics.
- How was this posting sourced?
- This role was pulled directly from NVIDIA's Workday careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.