Transpiler Engineer

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October 24

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Driver

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SaaS • API • Productivity

Driver is an automated documentation platform that intelligently analyzes codebases and generates contextual technical documentation. It streamlines the documentation process, allowing teams to save time and focus on building innovative solutions. With tools for maintaining up-to-date documentation across changes, Driver enhances onboarding processes and improves customer engagement by ensuring high-quality, easily consumable content. Its enterprise-level solutions prioritize security and compliance, making it a reliable choice for businesses aiming to modernize their documentation workflows.

11 - 50 employees

Founded 2023

☁️ SaaS

🔌 API

⚡ Productivity

📋 Description

• Core contributor to the Driver Transpiler, performing static analysis using tools like tree-sitter to parse and process code from any language in the transpiler frontend • Build and manipulate syntax trees and symbol table representations • Build templating engines and strategies for structured content generation with LLMs in the transpiler backend • Improve scalability and robustness • Contribute to the overall compiler architecture and feature roadmap • Own language specialization end-to-end for various languages • Build language specializations (optimizations and bespoke syntax/semantic support) for individual languages • Advance the design and implementation of language specialization as a whole • Contribute to the internal AutoDocs engine • Joint optimization with earlier stages of the transpiler • Expand the capabilities of the transpiler • Communicate effectively with others on the team to evaluate, test, and deploy transpiler updates

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • Minimum 3 — 5 years as a software engineer or similar (e.g., compiler/language developer) • Proficient in multiple languages, including Python • Experience with asynchronous programming in Python • Experience and skill in building software systems and larger architectures • Experience with graph constructs such as directed acyclic graphs (DAGs) and algorithmic solutions that use them • Familiarity with LLM and agent toolchains, prompt engineering, direct LLM API calls, and use of structured output • Comfort and desire to work in ambiguous and new problem spaces without well-established solutions • Previous use of tree-sitter or similar parsing tools (preferred) • Experience working on traditional compilers or code/static analysis (preferred)

🏖️ Benefits

• Competitive Compensation Packages - Cash & Equity • Flexible Work Culture • Unlimited Time Off + 12 Paid Company Holidays • Insurance - Health, Dental, & Vision • Life Insurance & FSA Accounts • 401(k) Retirement Accounts - Traditional, Roth, or Both • Quarterly Team Offsites