The RoleWe're building a new generation of translation tools that turn Python algorithm code into correct, deployable C++ for embedded systems. They combine classic compiler techniques with generative AI and modern verification. Analysis and lowering carry most of the work. AI covers the cases analysis can't, and testing and verification check the result.
You'll lead the architecture of the translation pipeline, from parsing and semantic analysis through intermediate representation (IR) design to C++ code generation. That means deciding how to keep Python's semantics exact when the output is statically typed C++.
Core Responsibilities- Design and evolve the pipeline's IR, analysis passes and C++ code generation, keeping the core independent of any one source language.
- Build type inference and lowering for dynamic Python features: arbitrary-precision integers, exceptions, generators, containers, and calls to the standard library and third-party libraries.
- Make semantic equivalence measurable, through differential testing against CPython, conformance suites and fuzzing.
- Integrate LLM-assisted generation where analysis falls short, with structured outputs and checks that catch its mistakes.
- Collaborate with verification and domain specialists to bring static analysis and formal methods into the pipeline.
- Set engineering standards for the codebase: tests, CI/CD, reproducible builds and code review.
Required Qualifications- 5+ years of professional software development in C++ and/or Python, shipping to real users.
- Hands-on experience building a compiler, transpiler, interpreter or language runtime: the end-to-end pipeline, not just one pass.
- Deep understanding of parsing, AST and IR design, type systems, IR transformations and code generation.
- Experience with compiler infrastructure such as Clang/LLVM, MLIR, GCC or equivalent.
- Strong modern C++: templates, value semantics, undefined behaviour, and how source code maps to the machine.
- Solid delivery fundamentals: code review, testing, CI/CD and build systems.
- A track record of leading large technical projects in a team, and of turning stakeholder needs into designs.
- Eligible to obtain and maintain an active U.S. Top Secret security clearance
Preferred Qualifications- Experience with dynamic-language implementation or analysis (CPython internals, PyPy, Cython, Numba, mypyc, or type inference for dynamic languages).
- Differential testing, fuzzing, symbolic execution, or formal verification (e.g. Z3, Coq, TLA+).
- Experience applying LLMs to code generation or program repair.
- Embedded, heterogeneous (FPGA/GPU) or resource-constrained targets.
- Familiarity with DSP, RF, communications or other compute-intensive domains.
- A current security clearance, or the ability to obtain one (US citizenship required for cleared work).
Benefits- Pay depends on experience, but we strive to be at the upper end of the salary range
- Health care plan with 100% premium coverage, including medical, dental, and vision
- 401k with 5% matching
- Paid Time Off (uncapped vacation, plus sick and public holidays)
- Flexible hybrid or remote work arrangement
- Relocation assistance for qualifying employees
Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location.
