
51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $100.5G Series B on 2023-08
Artificial Intelligence • Enterprise
Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world. The company focuses on enabling AI to be accessible to anyone, anywhere, leveraging specialties in machine learning, AI technologies, and platforms such as TensorFlow and PyTorch, along with hardware solutions.
🔥 12 hours ago
🌐 United States, Canada, +1 more countries – Remote
💵 $180k - $270k / year
⏰ Full Time
🔴 Lead
👷🏻♀️ Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 4%
Where this job comes from
Posted on Modular's careers page, not through a job board
First seen by Remote Rocketship 12 hours ago
Still open on Modular's site. Checked 59 minutes ago.

51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $100.5G Series B on 2023-08
Artificial Intelligence • Enterprise
Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world. The company focuses on enabling AI to be accessible to anyone, anywhere, leveraging specialties in machine learning, AI technologies, and platforms such as TensorFlow and PyTorch, along with hardware solutions.
• Drive development of the Mojo LLDB-based debugger from an experimental project to a mature debugger • Work on interactive debugging, IDE integration, debug information formats, expression evaluation, and other debugging experiences • Develop potential future features including GPU debugging, agentic debugging, debugger MCP, and profiling support • Define the Mojo debugger and overall tooling roadmap • Collaborate with developer relations and the Mojo compiler team • Engage with the Mojo developer community, discuss features, capture use cases, and direct open-source contributors
• Contributions to SDK and dev tools for a major programming language • Track record of improving developer productivity with tools • Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering or related work experience; OR Master's degree in a related field and 1+ year of Software Engineering or related work experience; OR PhD in a related field • 1+ year of academic or work experience with a programming language such as Python, Mojo, Rust, or C++ • Experience with community or developer relations teams is a strong plus • Past experience working on LLDB is a strong plus • Exposure to the LLVM ecosystem is a strong plus • Understanding of developer experience and pragmatic prioritization • Willingness to dive deep into systems programming • Knowledge of debuggers, linkers, compilers, and other development tools • Candidates based in the US, Canada, and UK are welcome to apply • All new hires complete onboarding in person • Traveling 2–4 times a year is expected for all roles
• Comprehensive healthcare coverage • Retirement and savings programs • Employee stock purchase opportunities • Paid time off • Wellbeing resources • Family support programs • Learning and development opportunities • RSU grants • Regular team onsites and local meetups • Relocation assistance available for eligible candidates • Remote and in-office flexibility for senior engineers
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