Senior NPU SDK Software Engineer

The role

You will be responsible for the Python programming API of the chip, PyTorch customization, and the compiler for end-to-end applications. You will manage the full life-cycle of SDK features including the simulator, compiler, API, and infrastructure.

What you will do

• Take care of the full life-cycle of SDK features including the simulator, compiler, API, and infrastructure
• Set and uphold high standards for code quality, maintainability, testing, and release readiness
• Conduct code reviews and improve engineering practices
• Ensure robust documentation within the expertise domain
• Translate complex algorithm or hardware specifications into efficient, user friendly, and testable software behaviour
• Provide technical feedback and work closely with Digital Design, Firmware, and Applications teams
• Provide support to internal teams and customers to enable application development and solve issues
• Contribute to improving power consumption performance, latency, and performance bottlenecks
• Keep innovating and bring latest trend of the technology and best practice to the product

Required qualifications

• 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
• 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
• Highly flexible, with a readiness to step outside your immediate domain to drive team success
• A strong growth mindset with an active drive to master new tools and technologies
• Great communication skills

Nice to have

• Modern C++ development skills (including C++17/20)
• Exposure to bare-metal firmware development
• Solid understanding of computer architecture, particularly ARM or RISC-V-based systems, and basic digital design knowledge
• 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 Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. Their technology serves the IoT, wearable, embedded, and automotive domains.