LLM Parser & Compiler Engineer (Remote)

dottxt; New York (NY); On-site; USD 100,000 - 180,000; Full time

Benefits offered by this job

Stock options

Health and dental insurance

401(k) for US employees

GPU provisioning

Job summary

.txt is seeking a skilled developer to work on the parsers and compilers at the center of our platform, building high-performance components that safely guide language-model generation. You'll design, implement, and optimize parsing algorithms (Earley, LALR(1)), formal grammars, and data structures, with a focus on reliability, testing, and automation.

This is a remote-first role with global collaboration and strong compensation.

Qualifications

• You know Python at a professional level and have practical experience with "lower-level" languages (e.g. C/C++, Rust).
• You have worked directly with parsers (e.g. Earley, LALR(1)), formal grammars, finite-state machines, and implemented efficient data structures. You are also capable of doing research and development in those areas.
• You are familiar with our relevant technical report and open-source project.
• You value simplicity, testing, and automation, and you can demonstrate this.
• You communicate clearly, concisely, and consistently in written form.

Responsibilities

• Design and Develop: Craft high-performance parsers and data structures that integrate with LLMs.
• Problem Solving: Research advanced parser and compiler technology and symbolic methods.
• Writing Quality Code: Ensure the reliability and efficiency of our methods through rigorous testing and optimization.
• Stay Ahead: Learn the latest, relevant LLM advancements.

Skills

Python

C/C++

Rust

Parsers

Formal grammars

Finite-state machines

Data structures

Testing

Automation

Tools

Earley

LALR(1)

Job description

.txt is seeking a skilled developer to work on the parsers and compilers at the center of our platform, building high-performance components that safely guide language-model generation. You'll design, implement, and optimize parsing algorithms (Earley, LALR(1)), formal grammars, and data structures, with a focus on reliability, testing, and automation.

This is a remote-first role with global collaboration and strong compensation.