Senior Compiler Engineer

The role

You will design and implement the compiler for next-generation AI accelerator architectures. You will collaborate with SDK, algorithm, architecture, and hardware teams to drive the evolution of the compiler framework.

What you will do

• Design and implement the compiler for next-generation AI accelerator architectures
• Enable new network topologies while maximizing chip performance and energy efficiency
• Collaborate cross-functionally with SDK, algorithm, architecture, and hardware teams
• Provide feedback to hardware engineers to refine future architectural designs
• Stay at the forefront of neural network compiler technologies

Required qualifications

• Proficiency in Python and C++ programming
• Knowledge of neural networks and familiarity with standard model architectures
• Hands-on experience with popular deep learning frameworks like PyTorch or TensorFlow
• Hands-on experience with common compiler frameworks for neural networks, such as MLIR or TVM
• Strong understanding of computer architecture
• Practical experience optimizing performance for targeted hardware
• Rapid prototyping capabilities for testing new ideas
• Strong interpersonal and communication skills

Nice to have

• Experience with a machine learning compiler like IREE, ExecuTorch, ONNXRuntime, or similar compiler backend code generation experience (GCC, LLVM, etc.)
• Experience with RISC-V architecture, especially the vector extension
• Knowledge of digital/analog electrical circuits
• Knowledge of spike neural networks
• Knowledge of embedded platform and runtime
• Knowledge of graph algorithms, constraint solver, or heuristic algorithms

About the company

Innatera is a Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. Their technology serves the IoT, wearable, embedded, and automotive domains.