11 hours ago
Remote, United States +2 moreStaff+
Base Salary
$216k - $324k/yr
Responsibilities
- Design and implement new Mojo language features on an MLIR-based compiler architecture.
- Create optimization passes for CPUs, GPUs, and AI accelerators.
- Develop multi-target compiler technology spanning language implementation, IR, code generation, SDK, and user experience.
- Shape Mojo syntax, performance semantics, and next-generation language design.
- Collaborate with kernel authors, hardware engineers, Modular teams, researchers, and the open-source community.
- Travel 2–4 times per year for team onsites and local meetups.
Requirements
- 5+ years of experience working on compilers, runtimes, or language implementations.
- Hands-on mastery of C++ and preferably fluency in Python.
- Experience with MLIR and LLVM.
- Experience optimizing code for CPUs, GPUs, or AI accelerator hardware.
- Contributions to a real-world compiler project.
- Bachelor’s degree and 6+ years of software engineering or related experience, or a master’s degree and 5+ years, or a PhD and 4+ years.
- 3+ years of work experience with programming languages such as Python, Mojo, Rust, or C++.
Benefits
- Comprehensive healthcare coverage may be available, depending on location.
- Retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities may be included depending on location.
- RSU grants, annual target bonus, equity, and other benefits are part of the total compensation package.
- Regular team onsites and local meetups.
- Candidates may work remotely from home or in offices in Los Altos, California, or Edinburgh; new-hire onboarding is conducted in person at the appropriate office.
- Candidates based in the US, Canada, and UK may apply.
About Modular
Modular builds an AI developer platform for training and especially inference/serving, centered on the MAX runtime and the Mojo programming language. Its tools accelerate and deploy models from frameworks like PyTorch and TensorFlow on CPUs and GPUs, for teams running on cloud or on‑prem infrastructure. Founded in 2022, the company operates remote‑first with an office in Los Altos, CA, and sells a commercial platform and enterprise support to organizations productionizing generative and classical ML.