Senior NPU SDK Engineer

About the role

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 development roadmap, we're looking for a Senior NPU SDK Engineer to help drive the development of our simulation environment by enabling early application development and system validation before hardware is available. As a key member of our SDK team, you'll be responsible for designing and building accurate and high-performance C++ hardware simulators that reflect our neuromorphic architecture. This role is critical to how our software and hardware teams collaborate to test, validate, and iterate on next-gen chip designs. We will trust you with: 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. What will you need to succeed: 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.

Requirements

• 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).
• 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.

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