Staff Software Engineer

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Anaconda has always built and shipped conda packages. Now we're expanding into wheels, the format used across the wider Python ecosystem, so builders who would otherwise go to PyPI or conda-forge for a package can find it with us instead. That shift has already taken our catalog from around 2,000 packages to more than 6,000, and wheels.

You'll join a small, focused team building the toolchain that compiles these packages from source. As our Staff Software Engineer, you'll help carry that work from prototype to production: shaping technical strategy, building out the tooling, and working closely with our pure Python wheels and distribution teams as the effort scales.

• 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.

• 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.

• 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.

• 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 application deadline for this role is 10/30/2026; applicants will be reviewed on an ongoing basis until the role is filled.

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

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

• Flexible Vacation Policy
• Medical, Dental, and Vision Insurance
• Short Term and Long Term Disability
• Paid Parental Leave
• Monthly Wellness Stipend
• Employee Assistance Program and Mental Health Resources

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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