Own and evolve the build, packaging, and release infrastructure for Transformer Engine, ensuring reliable and reproducible delivery across platforms.
Drive developer productivity improvements through better tooling, automation, and CI/CD pipelines.
Maintain and improve the Python packaging of the Transformer Engine library, keeping pace with modern packaging standards and toolchains.
Identify and resolve issues across the entire AI software stack.
Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA’s latest hardware and software innovations.
This is a development-focused role that drives software quality and reliability without on-call duties.

Requirements

MS or PhD in Computer Science or Engineering (or equivalent experience)
5 + years of proven experience building or supporting large software projects or equivalent
Strong proficiency in Python, including packaging ecosystems (setuptools, pip, wheels, conda)
Expertise with scripting and automation (Bash, Python, or similar)
Experience in continuous build and release management for Linux systems
Experience building containerized applications
Proven experience shipping open-source software with many contributing teams
Experience with uv Python package manager
Experience with C++ build systems, including dependency issues, symbol resolution, and linking problems
Hands-on experience designing and maintaining automated workflows using tools like n8n or similar orchestration platforms
Experience building and packaging CUDA applications, including managing toolkit versions, compiler compatibility, and GPU-aware build configurations

Benefits

Equity
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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonpackaging ecosystemssetuptoolspipwheelscondaBashC++CUDAcontainerized applications

Soft Skills

developer productivitysoftware qualityreliabilitycommunity engagementcustomer support

Certifications

MS in Computer SciencePhD in Engineering