2 months ago
Remote, GermanyStaff+
Responsibilities
- Build and evolve a production toolchain that compiles complex packages such as NumPy, SciPy, and PyTorch from source.
- Create, review, and improve conda recipes, build tooling, and release processes for reliable package distribution at scale.
- Partner with pure Python wheels and distribution teams on automation and infrastructure needs.
- 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.
- Review and validate AI-generated code before it ships.
Requirements
- 10+ years of professional software development experience, including technical strategy, system design, and architecture evolution.
- Deep hands-on C/C++ experience, including debugging and fixing compilation- and linking-level issues across large codebases.
- Experience building or maintaining production software across operating systems such as Linux, macOS, and Windows.
- Professional experience using AI-assisted development tools such as Claude Code, including reviewing and validating AI-generated code.
- Experience with Git or another version control system.
- Preferred experience contributing to GCC or LLVM, developing compilers or linkers, or working with dynamic linkers.
- Working knowledge of libc++, libstdc++, STL, glibc, macOS SDKs, UCRT, or vcruntime.
- Familiarity with RedHat devtoolset, Linux distribution maintenance, Homebrew, or similar package systems at scale.
- Proficiency with CMake, Bazel, Make, or Automake and working knowledge of Python packaging, including manylinux.
- Experience with GPU build tooling and runtime environments such as CUDA and cuDNN.
- Involvement in conda-forge or the wider Python packaging community, ideally in an open-source environment.
- Python programming experience for build automation or infrastructure tooling.
Benefits
- Flexible hours and a fully remote setup.
- Flexible Vacation Policy.
- Medical, dental, and vision insurance.
- Income Protection Insurance.
- Paid parental leave.
- Monthly wellness stipend.
- Mental health resources.
- Collaborative culture with support for employee wellbeing and growth.
About Anaconda
Anaconda builds the open-source Anaconda Distribution and conda package manager for Python/R data science, plus enterprise tools for secure package management, governance, and AI workflows. It monetizes through commercial subscriptions, support, and training that help teams manage packages at scale and deploy notebooks and models. Founded in 2012 and headquartered in Austin, Texas, the privately held company also develops Kilo Code, a widely used AI-assisted coding extension for VS Code.