Senior Compiler Engineer

Atlas Metrics; Ireland; On-site; EUR 110,000 - 150,000; Full time

Job summary

Innatera seeks a Senior Compiler Engineer to lead the end-to-end development of its next-generation compiler framework for AI accelerators. You will design, implement, and optimize compilers to enable advanced network topologies and higher chip efficiency.

As a core member of the SDK team, you will partner with algorithm, architecture, and hardware groups to translate requirements into performant compiler solutions and contribute knowledge to drive industry best practices.

Qualifications

• Proficiency in Python and C++ programming.
• Solid knowledge of neural networks and common architectures.
• Hands-on experience with PyTorch or TensorFlow.
• Experience with compiler frameworks for neural networks (MLIR/TVM).
• Strong understanding of computer architecture and performance optimization.
• Ability to rapidly prototype and test new ideas.
• Excellent interpersonal and communication skills.

Responsibilities

• Design and implement the compiler for next-gen AI accelerator architectures.
• Collaborate with SDK, algorithm, architecture, and hardware teams to gather requirements.
• Provide feedback to hardware engineers to refine architectural designs.
• Stay at the forefront of neural network compiler technologies and share practices.

Skills

Python

C++

Neural networks

DL frameworks

MLIR

TVM

Computer architecture

Rapid prototyping

Communication

Education

Bachelor's degree in CS/EE/related

Tools

MLIR

TVM

PyTorch

TensorFlow

Job description

About Us

Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains.

To support our rapid product roadmap, we are seeking a Senior Compiler Engineer to help drive the evolution of our next-generation compiler framework to enable more complicated use cases, and achieve better performance on our chip. As a core member of our SDK team, you will be responsible for the end-to-end compiler development lifecycle and collaborate with cross-functional peers to extract maximum value for our customers.

We will trust you with:

• Design and implement the compiler for next-generation AI accelerator architectures, enabling new network topologies while maximizing chip performance and energy efficiency.

• Collaborate cross-functionally with SDK team members as well as algorithm, architecture, and hardware teams to gather compiler requirements.

• Provide feedback to hardware engineers to refine future architectural designs based on insights gained from compiler optimizations.

• Stay at the forefront of neural network compiler technologies, introducing innovative solutions and industry best practices to the team.

What will you need to succeed:

• 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 alongside 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.

Whether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you!

Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.