Responsibilities
- Evolve our kernel language to something that is usable both by developers inside and outside the compiler team and company
- Design and implement backend compiler optimizations to efficiently map workloads onto heterogeneous architectures (CPU, NPU, and specialized accelerators)
- Implement advanced optimization strategies across the compiler stack based on your experience, e.g.: Memory planning, tiling, vectorization, task partitioning, concurrency optimizations (compute and memory), etc.
- Contribute to compiler infrastructure, intermediate representations, and optimization passes
- Analyze performance bottlenecks and implement improvements based on profiling and benchmarking
- Contribute to technical direction, mentor junior engineers, and promote engineering best practices
- Work effectively within a collaborative, distributed engineering team
Requirements
- Master’s or PhD in Computer Science, Computer Engineering, or a related technical field
- 5+ years of experience in compiler development, systems programming, or performance-critical backend software engineering
- Strong understanding of compiler backend concepts, including scheduling, memory optimization, and code generation
- Demonstrated experience optimizing computations at a low level (e.g., tiling, memory planning, concurrent scheduling, task synchronization)
- Basic to solid understanding of computer architecture concepts such as memory hierarchies, DMA controllers, Network-on-Chip (NoC), and modern CPU architectures (e.g., RISC-V, ARM, x86)
- Familiarity with heterogeneous computing architectures (e.g., CPU + accelerator such as GPU, NPU, DSP, or similar)
- Strong programming skills in Python and good proficiency in C++
- Experience working collaboratively in a team environment
Nice to Have
- Experience with modern compiler frameworks such as MLIR, LLVM, or TVM
- Experience working with domain-specific languages (DSLs) such as Triton, cuTile, or similar
- Experience with RISC-V architecture, including vector extensions
- Experience optimizing deep learning or high-performance computing workloads
- Experience working close to hardware or with hardware/software co-design
- Experience in performance analysis, profiling, and optimization
Benefits
- Attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares
- Open culture that supports creativity and continual innovation
- Collaborative ownership and freedom with responsibility
Additional Information
- Priority will be given to candidates who are [interested in being] based in Belgium or Italy.
