[Hiring] Senior DSL Engineer @Lemurian Labs

Role Description

We are building a domain-specific language and compiler toolchain for programming machine learning models.

As a Senior DSL Compiler Engineer, you will focus on the compiler frontend:

• Scanning
• Parsing
• AST design and construction
• Compiler passes
• Type and shape inference
• Error and warning reporting

You should be deeply comfortable reasoning about object ownership and lifecycle management in C++, and be prepared to work within a custom ARC system with semantics similar to the standard smart pointer types.

What You'll Do:

• Design and implement compiler frontend components including the lexer, parser, abstract syntax tree, and compiler passes.
• Design and implement type inference and shape inference systems for the DSL.
• Design clear, actionable error and warning diagnostics that help users understand and resolve problems in their programs.
• Work within and extend a proprietary automatic reference counting system that governs memory management across the frontend.
• Participate in code reviews to maintain code quality and ensure sound design decisions.
• Collaborate through pair programming sessions.
• Contribute to the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing.
• Help inform the design of future DSLs as the platform expands to other scientific computing domains.

Qualifications

• BS degree in Computer Science, Computer Engineering, or equivalent practical experience
• Extensive experience designing and implementing domain-specific languages
• Deep expertise in compiler frontend engineering: lexical analysis, parsing, AST design, semantic analysis, and compiler passes
• Strong experience with type inference and shape inference systems
• Strong professional C++ background with modern C++ standards
• Deep understanding of automatic reference counting concepts and object lifetime management in C++, including thorough familiarity with the semantics of shared_ptr, weak_ptr, and unique_ptr
• Experience designing compiler diagnostics (errors and warnings) that are clear and useful to end users
• Experience across the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing
• General familiarity with GPUs or other accelerator devices and their role in high-performance computing and machine learning workloads

Requirements

• Master's or PhD in Computer Science, Computer Engineering, or equivalent
• Experience with or willingness to use AI-assisted code generation tools in day-to-day development
• Familiarity with PyTorch or similar machine learning frameworks
• Experience with Python language internals or strategies for subsetting Python-like languages

Benefits

• Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance
• Work on the hardest graph-level problems in AI infrastructure — across diverse hardware targets and model architectures
• Collaborate with a team that treats infrastructure as a canvas and optimization as a craft
• Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits