Staff Software Engineer

What You'll Do

• 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 rather than hoarding it.
• 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.

Your impact will be measured through:

• Growth of Anaconda's compiled package catalog and reliability of the build and release pipeline.
• Reduction in manual, repetitive engineering work through automation.
• Cross team adoption of packaging standards and reusable components.
• Time to resolution for build and distribution incidents.

What You Need

• 10+ years of professional software development experience, including driving technical strategy, system design, and architecture evolution.
• Deep, hands on experience in C/C++, comfortable debugging and fixing issues at the compilation and linking level across large codebases.
• 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.

What Will Make You Stand Out

• 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.
• Familiarity with distribution tooling such as the RedHat devtoolset, or experience maintaining a Linux distribution, Homebrew, or a similar package system at scale.
• 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.

Why You'll Like Working Here

• You'll thrive in a high-performance environment where results are recognized and rewarded.
• Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
• You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
• You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

The base salary range for this role is $149,500 - $219,500, along with annual bonus potential, equity participation, and benefits.