10 hours ago
Remote, United States +2 moreStaff+
Base Salary
$180k - $270k/yr
Responsibilities
- Drive the Mojo LLDB-based debugger from an experimental project to a mature developer tool.
- Build interactive debugging, IDE integration, debug information formats, expression evaluation, and other debugging capabilities.
- Develop future features including GPU debugging, agentic debugging, debugger MCP, and profiling support.
- Define the roadmap for the Mojo debugger and overall tooling.
- Collaborate with compiler and developer relations teams to engage the Mojo developer community, capture use cases, and direct open-source contributors.
Requirements
- Contributions to SDKs and developer tools for a major programming language.
- A track record of improving developer productivity with tools.
- Bachelor’s degree in a relevant field plus 2+ years of software engineering or related experience, or a master’s degree plus 1+ year, or a PhD.
- At least 1 year of academic or work experience with a programming language such as Python, Mojo, Rust, or C++.
- Experience with developer or community relations teams is a strong plus.
- Past LLDB experience is a strong plus.
- Exposure to the LLVM ecosystem is a strong plus.
- Knowledge of developer experience, systems programming, debuggers, linkers, compilers, and other development tools is helpful but not required.
Benefits
- Healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities may be available depending on location.
- The role offers remote and in-office flexibility for senior engineers; earlier-career employees work hybrid with at least 3 days per week onsite at the Los Altos or Edinburgh office.
- Relocation assistance is available for eligible candidates, and all new hires complete onboarding in person.
- Regular team onsites and local meetups are provided, with expected travel 2–4 times per year.
- The role is open to candidates in the US, Canada, and UK.
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.