Staff Software Engineer

Anaconda advances artificial intelligence through open source technologies, including Python, data science, and enterprise AI solutions. The Staff Software Engineer will lead the development and productionization of tooling for compiling Python packages from source, shape technical strategy, and collaborate with packaging and distribution teams to scale build and release infrastructure.

Responsibilities:

• Build and evolve the toolchain that compiles complex packages like NumPy, SciPy and PyTorch from source, moving the effort from research into production
• Create, review, and evolve conda recipes, build tooling, and release processes that keep compiled packages reliable at scale
• Partner with our pure Python wheels and distribution teams so both efforts stay in step as automation and infrastructure needs grow
• Mentor engineers on architecture, debugging, and packaging practices, sharing context as you go
• Lead postmortems, capacity planning, and incident response for build and distribution infrastructure
• Advise technical leadership on project scoping and delivery trade offs, bringing full context before recommending a path
• Comfortable engaging with AI assisted development tools, such as Claude Code, as appropriate, including reviewing and validating AI generated code before it ships

Requirements:

• 10+ years of professional software development experience, including driving technical strategy, system design, and architecture evolution
• Hands on experience in C/C++, comfortable debugging and fixing issues at the compilation and linking level across large codebases
• Deep, hands-on experience maintaining a Linux distribution or package management system at production scale
• Experience building or maintaining production software across multiple operating systems, such as Linux, macOS, and Windows
• Experience using AI assisted development tools, such as Claude Code, as part of a professional workflow, including reviewing and validating AI generated code before it ships
• Experience with Git or another version control system
• Active contributor to a mainstream toolchain such as GCC or LLVM, a dynamic linker, or direct experience developing compilers or linkers
• Working knowledge of libc++/libstdc++/STL and glibc, macOS SDKs, or UCRT/vcruntime on Windows
• Proficiency with build tools such as CMake, Bazel, Make, or Automake, and working knowledge of the Python packaging ecosystem, including manylinux
• Experience with GPU build tooling and runtime environments (e.g., CUDA, cuDNN)
• Active involvement in the conda-forge or wider Python packaging community, ideally gained in a fast paced, open source driven environment, with public projects you can walk us through
• Programming experience in Python, particularly for build automation or infrastructure tooling
• You embody our values: “Curious by Default”, “Build Together”, “Own It”, and “Lead with Guts and Heart”, and our behaviors: Clarity, Care and Candor
• You care deeply about fostering an environment where people of all backgrounds and experiences can flourish