Staff Software Engineer
Staff Software Engineer leading the production toolchain for compiling and distributing complex Python packages across Linux, macOS, and Windows. Requires 10+ years of software development experience and deep C/C++ expertise in compilation, linking, architecture, and technical strategy.
About the job
Responsibilities
- Build and evolve the toolchain that compiles complex packages such as NumPy, SciPy, and PyTorch from source, taking the effort from research into production.
- Create, review, and evolve conda recipes, build tooling, and release processes for reliable compiled packages at scale.
- Partner with pure Python wheels and distribution teams on automation and infrastructure.
- Mentor engineers on architecture, debugging, and packaging practices.
- Lead postmortems, capacity planning, and incident response for build and distribution infrastructure.
- Advise technical leadership on project scope, delivery trade-offs, and technical strategy.
- Use AI-assisted development tools appropriately, including reviewing and validating generated code.
Requirements
- 10+ years of professional software development experience, including technical strategy, system design, and architecture evolution.
- Deep hands-on C/C++ experience, including compilation- and linking-level debugging across large codebases.
- Experience building or maintaining production software across multiple operating systems, including Linux, macOS, and Windows.
- Professional experience with AI-assisted development tools and validation of generated code before release.
- Experience with Git or another version control system.
Nice-to-haves
- Contributions to GCC, LLVM, a dynamic linker, or direct compiler/linker development experience.
- Knowledge of libc++, libstdc++, STL, glibc, macOS SDKs, UCRT, or vcruntime.
- Familiarity with Red Hat devtoolset, Linux distribution maintenance, Homebrew, or similar package systems at scale.
- Proficiency with CMake, Bazel, Make, or Automake.
- Knowledge of the Python packaging ecosystem, including manylinux.
- Experience with GPU build tooling and runtimes such as CUDA and cuDNN.
- Involvement in conda-forge or the broader Python packaging community.
- Python programming experience for build automation or infrastructure tooling.
Compensation and Benefits
- Base salary plus comprehensive benefits.
- Flexible vacation policy.
- Medical, dental, and vision insurance.
- Income protection insurance.
- Paid parental leave.
- Monthly wellness stipend.
- Mental health resources.
Skills
C++, C, Python, Git, Cmake, Bazel, Make, Automake, Conda, Manylinux, CUDA, Cudnn, Llvm, Gcc, Linux
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