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# Rust developer

- **Company:** Apollo
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $208,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Profiling, Software Quality, Nvidia CUDA, Continuous Integration, Data Structures, Cursor (Graphical User Interface Elements), Software Debugging, Python (Programming Language), Software Engineering, Rust (Programming Language), Graphql
- **Published:** September 3, 2026
- **Apply:** https://jobs.ashbyhq.com/dottxt/0b6f6632-5fab-4f74-97f8-1e8fdadd72a6

## About the Role

* Proven Rust Experience: Demonstrated ability to lead and contribute to sophisticated, collaborative Rust projects.
 * Professional Development Skills: A track record of developing well-tested, high-performance software.
 * Tooling Expertise: Expertise with code profiling and debugging. Experience with automated workflows in CI.
 * Multi-language Proficiency: Ability to learn and/or work with the following technologies: CUDA, C/C++, Rust/Python bindings.
 * A Collaborative Mindset: Excellent communication skills and a proactive approach, ideally suited for an early-stage startup culture.

## Description

txt builds structured generation: we make language models produce output that follows a given format, by deciding at every decoding step which tokens are allowed. We compile a JSON Schema, a regex, a grammar, a list of function definitions or a policy into that decision, fast enough to run inside the decoding loop. This is how .txt builds reliable and safe agents. We're looking for a Rust developer to own the part of it that has to be fast: the automata, indexes and parsers that run at every decoding step. You'd turn what the rest of the team writes into production-ready Rust, with the Python bindings and C++/CUDA glue to put it inside an inference engine, and the benchmarks to prove it stays fast.

What You Will Do

 * Project Leadership: Initiate and drive the development of mission-critical Rust projects from conception through deployment.
 * Performance Engineering: Write and optimize parsing code with a strong emphasis on performance, supported by automated benchmarking.
 * Data Structures & Algorithms: Ability to design, implement, and readily debug formal grammars, efficient parsers, standard and non-standard automata, and general text-based indexing/search.
 * Cross-Functional Collaboration: Work with other teams to integration their work into production-ready Rust.
 * Tooling & CI/CD: Utilize advanced profiling, debugging, and continuous integration tools to maintain and enhance code quality in non-trivial and consistent ways., To facilitate real-time collaboration, we require team members to be available, on a daily basis, for at least 3 hours of overlap with morning New York City (Eastern Time Zone) business hours, 8am - 1pm., Design, build, and optimize production-grade Rust systems for low-latency model serving and real-time data ingestion. Implement high-throughput backend APIs, caching, and memory-efficient components. Debug distributed systems, establish benchmarking and monitoring, and collaborate with Applied Scientists to translate ML advances into scalable runtime systems.


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