Modular is looking to revolutionize AI infrastructure by rebuilding the AI software stack, simplifying AI development and deployment, and empowering users to unlock AI's full potential.
Requirements
- 5+ years of compiler engineering experience
- Experience working with compilers for machine learning frameworks, such as PyTorch.
- Knowledge of core compiler algorithms and data structures.
- Knowledge of and experience working with MLIR and LLVM.
- Knowledge of C++, as well as, knowledge of basic GitHub workflows like pull requests.
- Experience with ML graph optimizations, parallel / distributed programming, heterogeneous ML computation, and/or code generation.
Responsibilities
- Set the technical direction for a team building the best heterogenous multi-device compiler and runtime system available, using MLIR and LLVM technologies.
- Collaborate with the Mojo compiler team to influence and harness Mojo's powerful compile-time meta-programming capabilities.
- Develop and disseminate deep expertise in new hardware platforms, partnering with Mojo kernel developers to achieve state-of-the-art performance on the latest hardware.
- Tackle complex technical challenges to empower ML engineers and accelerate model development.
- Strategically identify technical opportunities to grow the business.
- Mentor and develop junior engineers, growing the capability of the team over time.
Other
- A track record of challenging the status quo and delivering significant, measurable improvements.
- Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture.
- Candidates based in the US or Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home.
- Onboarding for new hires is conducted in-person in our Los Altos, CA office.
- Traveling 2-4 times a year is expected for all roles.
