Senior Compiler Engineer

Innatera; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Innatera is seeking a Senior Compiler Engineer to drive a next‑gen compiler framework for our AI accelerator chips. You will own the end‑to‑end development lifecycle and work with SDK, algorithm, architecture, and hardware teams to extract value for customers.

Ideal candidates combine Python/C++ proficiency with hands‑on DL framework experience (PyTorch/TensorFlow) and familiarity with MLIR/TVM, focusing on performance and power efficiency for edge devices.

Qualifications

• Proficiency in Python and C++ required.
• Strong knowledge of neural networks and common architectures.
• Experience with PyTorch or TensorFlow.
• Experience with MLIR/TVM or similar compilers.

Responsibilities

• Design and implement the compiler for next generation AI accelerator architectures.
• Collaborate cross functionally with SDK, algorithm, architecture and hardware teams.
• Provide feedback to refine architectural designs via compiler insights.
• Stay at the forefront of neural network compiler technologies.

Skills

Python

C++

Neural networks

PyTorch

TensorFlow

Tools

MLIR

TVM

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.