Software Engineer, Build Systems & Linkers

Job Posted 13 Days Ago Posted 13 Days Ago
Hiring Remotely in USA
Remote
Mid level
Digital Media • Marketing Tech • Generative AI
Astral is the gen AI toolkit for growth-focused content teams. Trusted by some of the world's most beloved brands.
The Role
Develop portable, standalone Python distributions and optimize build systems while maintaining open source contributions and engaging with the community.
Summary Generated by Built In

Astral

At Astral, our mission is to make the Python ecosystem more productive by building next-generation developer tools — tools that enable developers to ship great software, faster.

To start, we've built Ruff, an extremely fast Python linter and formatter; and uv, a comprehensive Python package manager — two of the fastest-growing developer tools ever.

Next, we're continuing to push the future of Python with a state-of-the-art type checker — and building out our first commercial services.

Our early team includes the authors of ripgrepbathyperfine, and maturin; early, core contributors to Biome and Prefect; and multiple CPython core developers — all building at the intersection of Rust and Python.

The Role

This role centers on python-build-standalone, a foundational project in the Python ecosystem that facilitates the creation of portable, standalone Python distributions.

python-build-standalone powers Python installation for uv, Rye, mise, Bazel's rules_python, pipx, Hatch, and more, with over 70,000,000 downloads since its release. For much of the ecosystem, it's now the primary source of Python installations.

Work on python-build-standalone is primarily centered on build engineering: solving linker issues, optimizing build-and-release pipelines, and upstreaming changes to the upstream CPython build system.

As with all positions at Astral, being an open source maintainer is a big part of the job too: engaging with the community, reviewing pull requests, debugging issues, and generally contributing to our culture of developing in the open.

The Team

  • We're not only remote, but highly distributed. We hire from Pacific Time (e.g., San Francisco, USA) to Central European Time (e.g., Munich, Germany), and get together twice annually for week-long, in-person on-sites.

  • We pay competitively (salary and equity) and offer comprehensive benefits (healthcare and more).

  • Our work is highly collaborative, but as is common in open source, much of that collaboration takes place asynchronously (in Discord, or GitHub, or Notion). We minimize meetings, and maximize time spent working in code.

  • We're a small, high-trust team. We strive to ship excellent software, at a fast pace... while having fun. (See: Our Values.)

Our Process

Our hiring process is entirely remote and does not include any live coding segments. While the process may vary from candidate to candidate, it generally consists of three phases, each designed to mimic the kind of engagement and interactions you'd have as a member of the team:

  1. A take-home project, where we ask you to build a command-line tool based on a pre-defined specification.

  2. A presentation, where we ask you to present on some of your own work, and have the kind of technical conversation you'd have as a member of the team, grounded in something that you know well.

  3. A co-working engagement, where we spend time working through issues and pull requests together.

Along the way, we'll talk through your background and interests to determine whether Astral is a good fit for your career goals.

Top Skills

Python
Rust
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The Company
5 Employees
Remote Workplace

What We Do

Astral's gen AI toolkit makes it easy for business-growth focused content teams to transform existing content libraries into new marketing materials and digital products. Our customers are using Astral daily to save hours of time, expand to new audiences, and unlock new revenue from existing efforts.

Why Work With Us

Our team celebrates our speed to learning — From data dashboards and customer conversations we are creatively digging into some of the most interesting gen AI challenges. Working cross-functionally, our eng team partners with design, product and operations to build something truly new.

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