Senior / Principal Software Engineer, Code Metal

• We are open to two distinct backgrounds for this role:
• Path A — Compiler / Tooling:
• You have built a compiler, interpreter, or substantial build tooling (e.g. a Cargo-like build system, a Clang plugin, an LLVM pass, a transpiler). You understand ASTs, IR design, and the full compilation pipeline
• Path B — AI Agentic Product:
• You have shipped a production AI agentic system — orchestrating LLMs with tool use, state machines, retrieval, or multi-step reasoning pipelines. You know where these systems break and how to make them reliable
• If you fit either profile and are excited by the intersection of AI and systems programming, we want to talk
• 7+ years of collaborative enterprise-level software development in C++ or Python, delivering products to a large customer base
• Demonstrated experience gathering requirements from stakeholders and translating them into software designs
• Track record of planning and executing large projects in a team-based setting
• Strong software delivery fundamentals: code review, testing, CI/CD, release management, and build systems
• Plus one of the following:
• Compiler / tooling background:
• Hands-on experience building a compiler, transpiler, or substantial build tooling (e.g. a Cargo-equivalent, a custom linker, a language runtime)
• Deep familiarity with compiler infrastructure — Clang, LLVM, MLIR, or equivalent
• Understanding of parsing, AST design, IR transformations, and code generation backends
• AI agentic product background:
• Shipped production AI agentic systems — LLM orchestration, tool-use pipelines, multi-step reasoning, or autonomous code generation
• Experience building reliable, observable AI workflows with structured outputs, retry logic, and evaluation frameworks
• Familiarity with ML tools and frameworks (PyTorch, Hugging Face, LangChain, or similar)

Desirable

• We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques — bridging the gap between algorithm development and deployment to embedded systems
• In this role you will lead the architecture and implementation of novel code generation pipelines that combine Generative AI, Static Analysis, and Formal Verification to translate code written in one language to another
• Define software architecture for Agentic AI pipelines — including state machines, orchestration layers, and LLM-integrated workflows
• Build well-tested, extensible code foundations for code translation products, with a focus on correctness and maintainability
• Collaborate with domain specialists to incorporate formal verification and static analysis methods into the code generation pipeline
• Partner with software engineering and research teams to build robust code repositories and CI/CD processes
• Architect and implement complex workflows spanning code parsing, semantic analysis, AI-assisted generation, and output validation