Grit

PL (Compiler) Engineer

San Francisco, USA

Sponsorship not specifiedDetected 989 days ago

RustMachine LearningProduct StrategyResearchCollaboration

About the role

As an early engineer, you will have a huge impact on the engineering decisions that set us up for the future.

If you like doing the hard work to build a magical developer experience and are equally excited by research papers and products, this role is for you.
Why you should join us Build a meaningful product to solve a tangible problem for companies.
Solve your own problems.
We dogfood our own product and you can build the ideal developer experience as you work.

Our team is currently 5 engineers.
About the role As an early engineer, you will have a huge impact on the engineering decisions that set us up for the future.
Update the GritQL compiler (written in Rust) to efficiently rewrite ASTs across million+ line repos.
Improve error handling and constraint solving when synthesizing programs using large language models.
4+ years experience as a software developer Experience with Rust preferred, but not required.
you love shipping.

Integrate new static analysis tools into the Grit data layer to allow hybrid queries across multiple data sources.
Thoughtfully suggest new architectural solutions and the introduction of appropriate technologies for scaling towards our public launch.

significant equity upside, direct impact on product vision, and contact with users.
You'll learn new techniques on the cutting edge of research in programming languages and machine learning.
This involves solving problems at the intersection of language design, static analysis, machine learning, and developer experience.

Grit is on a mission to crush technical debt.
We believe that a big challenge in the next decade will be crumbling digital infrastructure.
Our entire modern economy runs on code, but we haven't developed appropriate tools to ensure software remains reliable over time.
Companies know that technical debt threatens the reliability of their services and slows down the pace of innovation, but struggle to find enough engineering talent to fix issues-most software maintenance today is still done manually and delayed as long as possible.
We believe there is a better way: we're building AI bots that automatically maintain software through a combination of static analysis, our own query language, and machine learning.
Founders Fund and Abstract Ventures led our $7M seed round and we have many paying customers on our beta product.
Location Policy We believe that the most impactful work is done through high bandwidth in-person collaboration, particularly at an early-stage company.
Design new language features to support novel GritQL queries customers want to run and integrate them into our tree-sitter grammar.

This listing is sourced directly from Grit's careers page and normalized into a canonical job model.