ML Compiler Lead
3 days ago
We are seeking an experienced ML Compiler Lead to spearhead the development of our next-generation compiler for our hardware products. The compiler translates code from machine learning frameworks like PyTorch into assembly. You will own the compiler architecture, focus on the backend implementation, and grow the team to ensure production quality. Collaboration with algorithm and chip design teams will be essential to create an integrated algorithm-compiler-hardware system, optimizing the AI developer experience and workload efficiency.
Key Responsibilities- Design and develop an ML compiler using MLIR and TVM
- Lead the compiler backend development
- Implement optimization passes
- Optimize workload fragmentation across a multi-core architecture
- Develop codegen techniques for novel instruction set features
- Maintain requirements, solution blueprints, and schedules
- Collaborate with ML and hardware teams on cross-disciplinary projects
- Competitive salary and benefits
- Opportunity to work on groundbreaking technology
- Collaborative and innovative work environment
- Professional growth and development opportunities
- Flexible working hours and remote work options
- 5+ years in professional software development
- Experience with ML compilers, specifically MLIR
- Key contributor to previous ML compiler projects
- Proficiency in C++
- Expertise in compiler concepts (e.g., SSA form, optimization passes)
- Familiarity with distributed systems (e.g., MPI)
- Understanding of neural network layers and concepts
- MS or PhD in Computer Science, Electrical Engineering, or related field
- Excellent technical communication and collaboration skills
- Knowledge of hardware architecture concepts
- Familiarity with fixed-point quantization
- Experience with other ML compiler frameworks (e.g., TVM)
- Startup experience
- Proficiency in Python and cross-platform development (Windows, Linux)
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