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# Senior NPU SDK Software Engineer

- **Company:** Innatera
- **Location:** Greater London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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, Pytorch, Information Technology, Low Latency, Bare Metal
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840576882-senior-npu-sdk-software-engineer

## About the Role

* 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).

## 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.


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