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# Senior Life Cycle Engineer, PyTorch - Deep Learning

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Continuous Delivery, Continuous Integration, Linux, Python (Programming Language), Release Management, Software Construction, Software Engineering, Scripting, Pytorch, Deep Learning, Information Technology, Build Tools
- **Published:** August 28, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Life-Cycle-Engineer--PyTorch---Deep-Learning_JR2016185

## About the Role

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., * 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



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