R&D Engineer - Expert

Key Responsibilities

• Design and continuously evolve the overall architecture of a large-scale software build and execution platform.

• Define dependency models, artifact graphs, and incremental processing strategies across multiple compilation stages.

• Design and implement multi-stage processing pipelines for domain-specific languages (DSLs) and software-generated intermediate artifacts, applying principles from compiler architecture and modern build technologies.

• Drive architecture and implementation of key technical capabilities, including:

• Incremental compilation

• Dependency analysis

• Artifact serialization

• Build caching

• Remote caching and remote execution

• Parallel execution

• Collaborate closely with software architects, compiler engineers, platform engineers, and domain experts across multiple teams.

• Identify and analyze performance bottlenecks in large-scale software systems and design scalable solutions to support orders-of-magnitude growth in system scale.

• Define technical standards, architectural guidelines, and the platform's long-term evolution strategy.

• Provide technical leadership and guidance to engineering teams on best practices in compiler architecture and build systems.

Qualifications

• Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
• 5+ years of professional software development experience.
• Strong technical background in compiler architecture and build pipelines.
• Hands-on experience developing, extending, or deeply customizing one or more compilers, language infrastructures, or compiler frameworks, such as LLVM, GCC, Clang, Eclipse JDT, Xtext, Langium, or custom compiler infrastructures.
• Deep engineering experience with one or more modern build systems, including Bazel, Buck2, Ninja, CMake, Gradle, Maven, MSBuild, or custom build systems.
• Strong software architecture and system design capabilities.
• Proficiency in Java and C++, with hands-on experience developing complex software systems.
• Excellent written and verbal communication skills in English.

Preferred Qualifications

Experience in one or more of the following areas is highly desirable:

• Design and development of Domain-Specific Languages (DSLs).
• Language Server Protocol (LSP) and developer tooling.
• Distributed build farms and remote execution environments.
• DevOps and CI/CD infrastructure.
• Design of reproducible and hermetic build processes.
• IDEs, developer platforms, engineering productivity tools, or large-scale software development environments.
• Artifact repositories and build caching infrastructure.
• Knowledge of or professional experience in the semiconductor, EDA, ATE, or embedded software ecosystem.
• Hands-on experience applying AI technologies to software engineering, developer tools, or engineering workflows.