Compiler Engineer
Posted 26 Aug 2026
Advertised as “Senior Compiler Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
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.)