Modular · 13 hours ago
MAX Platform Tooling Engineer
Modular is on a mission to revolutionize AI infrastructure by rebuilding the AI software stack. As a MAX Platform Tooling Engineer, you will lead debugging initiatives and design tools that enhance developer experience for AI development.
AI InfrastructureArtificial Intelligence (AI)Generative AIMachine LearningSoftware
Responsibilities
Design, build, and maintain key technologies that support the Mojo compiler, such as the REPL, CPU/GPU debuggers, language servers (LSPs), and tracing tools
Collaborate closely with compiler and kernel teams to create innovative debugging workflows that significantly improve developer productivity
Ensure seamless integration of these technologies with our compiler and other parts of our platform
Participate in design discussions and code reviews to uphold high engineering standards
Engage with the external Modular community and open source community to support high-quality contributions and foster a welcoming, inclusive environment
Mentor junior engineers and support their growth
Qualification
Required
Typically 7+ years of experience in systems programming, debugging infrastructure, compilers, or related low-level tools
Hands-on experience with modern debugger internals (like GDB or LLDB) and a strong understanding of the DWARF debugging format
Familiarity with LLVM, and MLIR particularly in systems or compiler-related contexts
Excellent programming skills in C++, or other relevant systems programming focused languages
Strong understanding of computer architecture and operating systems
A collaborative mindset, intellectual curiosity, and a drive to solve complex technical challenges as part of a high-performing team
Clear and effective communication skills, both written and verbal
Strong alignment with Modular's cultural values and a desire to help build a thoughtful, inclusive engineering culture
Deep knowledge of OS internals that matter for debugging — including process layout, threading models, and signal handling on Linux and macOS
Preferred
Experience working with Nvidia (CUDA-gdb) or AMD (ROCgdb) debugging tools
Prior experience with Mojo, especially with an accepted contribution to the Mojo open source repository
Background in integrating debuggers like LLDB or GDB into IDEs, especially if you've worked with Debug Adapter Protocol (DAP) or LSP workflows
In-depth understanding of GDB/LLDB features, including remote debugging setups using gdbserver or LLDB's remote platform support
Experience with LLVM's JIT infrastructure (e.g., MCJIT, ORCJIT), particularly in interactive environments like REPLs
Familiarity with writing or extending compiler grammars or parsers, especially in REPL-friendly languages
Hands-on experience with GPU or AI kernel development, especially for high-performance compute workloads
Proficiency in Python, especially if you've worked on Python debuggers, mixed-language debugging (C++/Python), or introspection tools that bridge dynamic and compiled code
Experience building or extending developer tooling in VSCode, especially through custom extensions
A bachelors degree in Computer Science or a related field or equivalent experience
Benefits
Premier insurance plans
Up to 5% 401k matching
Flexible paid time off
Stock options
Company
Modular
Modular provides AI infrastructure for deployment, serving, and programming GPUs.
H1B Sponsorship
Modular has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (6)
2023 (8)
2022 (4)
Funding
Current Stage
Growth StageTotal Funding
$380MKey Investors
US Innovative Technology FundGeneral CatalystGoogle Ventures
2025-09-24Series C· $250M
2023-08-24Series B· $100M
2022-06-30Seed· $30M
Recent News
Greylock
2025-12-29
Crunchbase News
2025-10-15
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