General Application

Who we are

Quansight has its roots in the Python data science community. Our founders have had significant involvement in creating and maintaining NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, and other projects, as well as PyData NumFOCUS, and Anaconda. Our mission is to connect companies to open-source communities to create sustainable solutions that benefit the whole ecosystem.

We accomplish this mission by providing various services ranging from open-source software development to training and consulting. We believe in a culture of do-ers, learners, and collaborators. We are looking for people who are motivated, humble, curious, and respectful of others.

Interested in working at Quansight? We’d love to learn more about you!

About Quansight

Quansight is an open source consulting company that helps organizations solve complex challenges in scientific computing, data, and AI. We partner with engineering and research teams to build reliable software, improve performance, and support the open source tools they depend on.

Our team includes software engineers, open source contributors and maintainers, technical writers, designers, and community leaders.

Areas of Interest

We welcome interest from people with backgrounds in:

• Open source software development and maintenance
• Python engineering and scientific computing
• AI/ML engineering and model optimization
• Data engineering, infrastructure, DevOps, and MLOps
• Jupyter development and developer tooling
• Frontend development, visualization, and dashboards
• Python packaging, build systems, and environment management
• Software supply chain security
• Technical writing, developer education, and community engagement
• UX, accessibility, and design for technical tools

You’re also welcome to indicate interest in internships or early-career opportunities, subject to future availability.

Relevant Skills & Technologies

Depending on the project, relevant experience may include Python, C/C++, Rust, JavaScript/TypeScript, NumPy, SciPy, pandas, Polars, scikit-learn, PyTorch, Dask, Jupyter, Matplotlib, Bokeh, conda, conda-forge, and Python packaging and build tools.

These are examples—not requirements to know every technology. Tell us where your strengths and interests lie.

We value curiosity, collaboration, clear communication, and thoughtful engineering. Experience may come from professional work, research, education, personal projects, or open source contributions—including documentation, testing, design, and community support.