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Software Engineer, Compilers & Programming Languages

Astral

At Astral, our goal 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're building Ruff, an extremely fast Python linter and formatter; and uv, an extremely fast Python package manager — two of the fastest-growing developer tools ever.

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 Ruff, an extremely fast Python linter, formatter, and code transformation tool, written in Rust — along with our next-generation Python type checker (codename: Red Knot), in active development.

Since launch, Ruff has grown to tens of millions of downloads per month, and we're continuing to invest deeply in building the best static analysis tools in the Python ecosystem.

Work on Ruff and Red Knot tends to span the spectrum from low-level optimization work to high-level user experience design. If you like working on parsers, control-flow graphs, or type inference algorithms, it could be a good fit. If you like building interactive interfaces for reviewing and applying code modifications, it could also be a good fit.

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.

Strong candidates tend to have deep experience with Rust, Python, open source, or developer tools — but few candidates are deep in all of these areas, and we've successfully hired candidates with no prior Rust experience alongside candidates with no prior Python experience.

The Team

  • We're not only remote, but highly distributed. We hire from UTC-7 (e.g., San Francisco, USA) to UTC+1 (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.

Our Process

Our hiring process is entirely remote and does not include any live coding segments. Instead, 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 would 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 synchronously.

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

Reach us directly at hiring@astral.sh.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Software Engineer, Compilers & Programming Languages, Astral

Join Astral as a Software Engineer focused on Compilers & Programming Languages, and make a significant impact on the Python ecosystem! We are on a mission to create next-generation developer tools, such as Ruff and uv, which have quickly become two of the fastest-growing tools in the developer community. At Astral, you will have the opportunity to work on Ruff — an exceptionally fast Python linter and formatter built in Rust — and contribute to our innovative type checker known as Red Knot. As part of our collaborative yet mostly asynchronous work environment, you will engage with a team that includes notable contributors from the open-source community, sharing and cultivating knowledge. If you're passionate about developing parsers, exploring control-flow graphs, and crafting intuitive user experiences, this could be the perfect role for you. You don’t need to come with deep knowledge in Rust and Python; our diverse team has successfully onboarded those with various levels of experience. Being an open-source maintainer is key to this position, so you'll engage with our community, review pull requests, and enhance the tools we offer. Enjoy a competitive salary, equity, and a supportive remote work culture while contributing meaningfully to a groundbreaking mission. Let’s build the future of Python together!

Frequently Asked Questions (FAQs) for Software Engineer, Compilers & Programming Languages Role at Astral
What are the responsibilities of a Software Engineer at Astral?

As a Software Engineer at Astral, your primary responsibilities will include developing and optimizing our tools like Ruff and Red Knot, which focus on enhancing the productivity of the Python ecosystem. You'll work on both low-level optimization and high-level user experience design, all while engaging with the community and maintaining open-source contributions.

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What qualifications do I need to become a Software Engineer at Astral?

To be considered for the Software Engineer position at Astral, candidates should have a strong background in software development, preferably with experience in Rust or Python. However, Astral welcomes diverse backgrounds, so deep expertise in both languages isn't mandatory. Your passion for open-source and developer tools is crucial!

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How does the hiring process for a Software Engineer at Astral work?

The hiring process for a Software Engineer at Astral is entirely remote and consists of three main phases: a take-home project where you build a command-line tool, a presentation about your previous work, and a collaborative engagement where you work on issues and pull requests with our team.

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What development environment does Astral provide for Software Engineers?

Astral fosters a collaborative work environment that is primarily asynchronous. While working remotely, you will engage using tools like GitHub, Discord, and Notion to minimize meetings and maximize coding time. This freedom enhances creativity and productivity.

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Is Astral a remote company for Software Engineers?

Yes, Astral is fully remote, hiring Software Engineers from various time zones. We have team members located between UTC-7 and UTC+1 and organize bi-annual in-person team gatherings to foster relationships among colleagues.

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What type of projects can a Software Engineer expect to work on at Astral?

At Astral, Software Engineers can look forward to working on exciting projects, including developing Ruff, a fast Python linter, and a new type checker called Red Knot. Responsibilities may also involve interacting with community feedback and enhancing the overall user experience.

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What is the team culture like for Software Engineers at Astral?

The team culture at Astral emphasizes collaboration and a strong open-source mindset. Engineers are encouraged to engage with the community and contribute to a culture of transparency and sharing. Flexibility in work schedules and asynchronous collaboration are hallmarks of our environment.

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Common Interview Questions for Software Engineer, Compilers & Programming Languages
What is your experience with Rust and Python in software development?

Discuss your previous projects involving Rust and Python, highlighting specific examples where you effectively utilized these languages. Emphasize any successful outcomes and the challenges you overcame during development.

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How do you approach optimizing code for performance?

Explain your methodical approach to code optimization, such as profiling your code, identifying bottlenecks, and determining the most impactful areas for improvement. Share any relevant experiences where your optimizations made a significant difference.

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Can you describe your experience with open-source projects?

Share details about your contributions to open-source projects, including specific roles you’ve taken on, pull requests you’ve submitted, or any direct interaction with the open-source community. Highlight the importance of collaboration and feedback in your work.

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What strategies do you use for writing clear and maintainable code?

Discuss the importance of code readability, documentation, and following style guidelines. Provide examples of how you ensure maintainability in your projects through consistent practices and peer reviews.

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Describe a time you had to debug a complex issue in your code.

Talk about the debugging process you undertook, the tools you used, and how you approached isolating the problem. Describe the resolution and any results from that experience, showcasing your analytical skills.

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How do you prioritize tasks when working on multiple projects?

Explain your approach to time management and task prioritization, including any tools or methods you use to keep track of progress. Provide examples of how you've handled multiple responsibilities efficiently.

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What do you believe is the future of developer tools in the Python ecosystem?

Share your insights on the trends and advancements you foresee in Python developer tools, discussing how they could enhance programming efficiency and the overall developer experience.

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How would you handle feedback from the community regarding your tool?

Describe your openness to feedback and willingness to engage with the community. Explain how you would prioritize and implement useful suggestions while balancing them with your tool's vision.

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What is your favorite programming language, and why?

Choose a programming language you are passionate about and explain why it resonates with you. This could be due to its syntax, ecosystem, or personal experiences that shaped your love for coding.

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Can you explain your understanding of type inference algorithms?

Discuss your understanding of type inference algorithms, perhaps explaining some concepts or techniques you are familiar with. Draw connections to how this knowledge applies to your work, particularly with type checking in Python.

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DATE POSTED
November 24, 2024

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