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# Staff Software Engineer

- **Company:** Design Continuum, Inc.
- **Location:** Berkeley Lake, GA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Apple Mac Systems, Build Automation, C++ (Programming Language), CMake, Nvidia CUDA, Computer Programming, Software Debugging, Linux, Programming Tools, GNU Linker, Python (Programming Language), Linux Distribution, NumPy, Open Source Technology, Package Management Systems, SciPy, Software Engineering, Scripting, Pytorch, Claude Code, cuDNN, Git, Build Tools, Software Version Control
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-duluth-ga--ee8fa515-d578-45ab-8fad-45b47a59a8d8

## About the Role

Software Engineering, Artificial Intelligence (AI), Risk, Time Management, Fortune 500 Customers, Open Source, Data Science, Python Programming/Scripting Language, Productivity Management, Ecosystems, * 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.

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.
 * 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.

## Description

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.

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.
 * 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.