Senior Compiler Engineer

Posted Yesterday
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Manufacturing
Ultra low power intelligence for the sensor edge.
The Role
Design and develop compilers for next-generation AI accelerator architectures, supporting new neural network topologies while optimizing chip performance and energy efficiency. Collaborate with SDK, algorithm, architecture, and hardware teams to define requirements, guide architectural decisions, and improve compiler technologies. The role involves compiler optimization, rapid prototyping, neural network frameworks, hardware-targeted performance tuning, and introducing industry best practices.
Summary Generated by Built In

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!

If you're ready to shape the future of technology with us, click Apply and share your story.

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.

Skills Required

  • Proficiency in Python and C++ programming
  • Knowledge of neural networks and standard model architectures
  • Hands-on experience with PyTorch or TensorFlow
  • Hands-on experience with neural network compiler frameworks such as MLIR or TVM
  • Strong understanding of computer architecture and experience optimizing performance for targeted hardware
  • Rapid prototyping capabilities for testing new ideas
  • Strong interpersonal and communication skills
  • Experience with IREE, ExecuTorch, ONNX Runtime, or similar compiler backend code generation, including GCC or LLVM
  • Experience with RISC-V architecture, especially the vector extension
  • Knowledge of digital or analog electrical circuits
  • Knowledge of spiking neural networks
  • Knowledge of embedded platforms and runtimes
  • Knowledge of graph algorithms, constraint solvers, or heuristic algorithms
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The Company
HQ: Rijswijk
88 Employees

What We Do

Innatera is a trailblazing developer of ultra-low power intelligence for sensors. Incorporated in 2018 as a spin-off from the Delft University of Technology, it develops a line of neuromorphic processors that mimic the mechanisms the brain uses for sensory perception. Using a radically new continuous-time analog-mixed signal processing architecture, Innatera’s chips allow sensor data to be processed 100x faster and with up to 500x lesser energy than with conventional processors.

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