Senior NPU SDK Software Engineer

Innatera
Greater London, UK
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Neural Networks C++ (Programming Language) Compilers Software Quality Code Review Logic Synthesis of Circuits Firmware Python (Programming Language) Software Architecture Tensorflow Reduced Instruction Set Computing
+4 more
Pytorch Information Technology Low Latency Bare Metal

Job description

  • To take care of the full life-cycle of our SDK features in one of the components, including the simulator and compiler, or the API and the infrastructure of our SDK;
  • Set and uphold high standards for code quality, maintainability, testing, and release readiness;
  • Conduct code reviews and improve engineering practices and ensure robust documentation within the expertise domain;
  • Work closely with other teams (Digital Design, Firmware, Applications), translate complex algorithm or hardware specifications into efficient, user friendly, and testable software behaviour, and provide technical feedback;
  • Provide support to internal teams and customers to enable them to develop applications quickly using our SDK or help solve any issues;
  • Contribute to improving power consumption performance, latency, and any performance bottlenecks for our efficient edge-AI solution;
  • Keep innovating, bring latest trend of the technology and best practice to keep our product competitive in the market.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field;
  • Strong Python development skills;
  • Extensive experience with PyTorch and its customization, including knowledge of internal mechanics;
  • Modern C++ development skills (including C++17/20) would be a big plus, or a willingness to expand the knowledge;
  • Proven track record of designing modular, maintainable and testable software architecture;
  • Experience in low-power resource-constrained embedded programming;
  • Familiarity with hardware/software co-design concepts;
  • Great communication skills., * Exposure to bare-metal firmware development;
  • Solid understanding of computer architecture, particularly ARM or RISC-V-based systems, and basic digital design knowledge is a big plus;
  • Familiarity with ML compilers like MLIR, IREE or PyTorch compiler (Dynamo);
  • Familiarity with the runtime of TinyML or EdgeAI runtimes (TensorFlow Lite Micro, execuTorch);
  • Knowledge of SNN (Spiking Neural Networks).

About the company

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.

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