Senior NPU SDK Engineer

Innatera

Senior NPU SDK Engineer driving development of simulation environment for ultra-efficient neuromorphic processors. Collaborating with teams to design accurate and high-performance C++ hardware simulators.

Posted 6/22/2026full-timeRijswijk • 🇳🇱 NetherlandsSeniorWebsite

Tech Stack

Tools & technologies

C++PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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 team (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

What you’ll need

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.
Nice to have: 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).

Benefits

Comp & perks

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.

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Hard Skills & Tools

PythonPyTorchC++C++17C++20embedded programmingmodular software architecturelow-power resource-constrained programminghardware/software co-designMLIR

Soft Skills

communication

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in Electrical EngineeringMaster’s degree in Electrical Engineering