Innatera Nanosystems

Senior Compiler Engineer

Innatera Nanosystems
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2 months ago
Remote, United Kingdom or Remote, IrelandSenior

Responsibilities

  • Design and implement compilers for next-generation AI accelerator architectures.
  • Enable new neural-network topologies while optimizing chip performance and energy efficiency.
  • Collaborate with SDK, algorithm, architecture, and hardware teams to define compiler requirements.
  • Provide feedback to hardware engineers to improve future architectural designs.
  • Research neural-network compiler technologies and introduce innovative solutions and industry best practices.

Requirements

  • 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 practical experience optimizing performance for targeted hardware.
  • Ability to rapidly prototype and test new ideas.
  • Strong interpersonal and communication skills.
  • Preferred: experience with IREE, ExecuTorch, ONNXRuntime, or compiler backend code generation using GCC or LLVM.
  • Preferred: experience with RISC-V, especially its vector extension.
  • Preferred: knowledge of digital or analog electrical circuits, spiking neural networks, embedded platforms and runtimes, graph algorithms, constraint solvers, or heuristic algorithms.

Benefits

  • Innatera is an equal opportunity employer committed to a diverse, inclusive, and respectful workplace.
  • Recruitment-process accommodations are available upon request.

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Innatera Nanosystems

About Innatera Nanosystems

51-200 employees

Innatera Nanosystems designs and sells ultra-low-power neuromorphic processors and software for sensor-rich devices at the edge, targeting IoT, wearable, industrial, and automotive applications. Its brain-inspired analog-mixed-signal chips perform real-time inference close to sensors to cut latency and energy use for always-on analytics. The company is privately held, headquartered in Rijswijk, South Holland, and was founded in 2018 as a spin-off from Delft University of Technology.

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