5 дней назад
Staff Software Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (C/C++ and Python packaging): Building and taking into production the toolchain that compiles complex Python packages such as NumPy, SciPy, and PyTorch from source with an accent on build reliability, packaging automation, and cross-platform systems. Focus on designing compilation and linking tooling, evolving release infrastructure, resolving build incidents, and guiding technical architecture.
Location: Germany; fully remote setup
Company
develops an enterprise AI platform and open-source tooling for Python, data science, and machine learning.
What you will do
- Build and productionize toolchains that compile complex packages such as NumPy, SciPy, and PyTorch from source.
- Create and review conda recipes, build tooling, and release processes for reliable compiled packages.
- Collaborate 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.
Requirements
- 10+ years of professional software development experience, including technical strategy, system design, and architecture evolution.
- Deep hands-on C/C++ experience, including debugging compilation and linking issues across large codebases.
- Experience building or maintaining production software across Linux, macOS, and Windows.
- Professional experience using AI-assisted development tools, including reviewing and validating generated code before release.
- Experience with Git or another version control system.
Nice to have
- Experience with GCC, LLVM, compilers, linkers, dynamic linking, or standard libraries such as libc++/libstdc++ and glibc.
- Experience with Linux distributions, Homebrew, RedHat devtoolset, or package systems at scale.
- Proficiency with CMake, Bazel, Make, or Automake and familiarity with Python packaging and manylinux.
- Experience with GPU build tooling such as CUDA and cuDNN.
- Involvement in conda-forge or the wider Python packaging community, including open-source projects.
Culture & Benefits
- Flexible hours and a fully remote work setup.
- Collaborative environment focused on clarity, candor, diverse perspectives, and employee wellbeing.
- Flexible vacation policy.
- Medical, dental, and vision insurance, plus income protection insurance.
- Paid parental leave, monthly wellness stipend, and mental health resources.
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