Senior Compiler Engineer

Job Title

Senior Compiler Engineer

Role Summary

The Senior Compiler Engineer will design and implement the compiler stack for Innatera's next-generation neuromorphic AI accelerator. You will be a core member of the SDK team responsible for end-to-end compiler development, collaborating with algorithm, architecture, and hardware teams to maximize performance and energy efficiency on the chip.

Experience Level

Senior-level. The posting does not specify a years-of-experience requirement.

Responsibilities

Primary responsibilities include developing compiler features, extracting performance from hardware, and working across teams to deliver production-quality tooling.

• Design and implement compiler support for next-generation AI accelerator architectures and new network topologies.
• Optimize compile-time and generated code for performance and energy efficiency on target hardware.
• Lead end-to-end compiler development including prototyping, implementation, testing, and maintenance.
• Collaborate with SDK, algorithm, architecture, and hardware teams to gather requirements and validate compiler behavior.
• Provide feedback to hardware engineers to influence future architectural designs based on compiler findings.
• Introduce and apply industry best practices and new techniques in neural network compiler technology.

Requirements

Must-have technical skills and experience for immediate contribution.

• Proficiency in Python and C++.
• Practical knowledge of neural networks and standard model architectures.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with neural-network compiler frameworks (for example MLIR or TVM).
• Strong understanding of computer architecture and experience optimizing software for specific hardware targets.
• Ability to rapidly prototype and test compiler ideas.
• Strong interpersonal and communication skills for cross-functional collaboration.

Nice-to-have:

• Experience with IREE, ExecuTorch, ONNX Runtime, or backend code generation (GCC/LLVM).
• Experience with RISC-V, especially the vector extension.
• Knowledge of digital/analog circuits, spike neural networks, embedded platforms and runtimes.
• Familiarity with graph algorithms, constraint solvers, or heuristic algorithms.

Education Requirements

Not specified.

About the Company

Company: Innatera Nanosystems

Headquarters: Rijswijk, Netherlands

Dutch semiconductor company developing ultra-efficient neuromorphic processors and SDKs for edge AI. Their microprocessors mimic brain-like processing of sensor data to enable low-power, real-time analytics for IoT, wearable, embedded, and automotive applications.