Senior SDK Hardware Simulator Engineer

The role

You will design and build high-performance C++ hardware simulators to replicate neuromorphic processors, CPUs, and memory systems. This role supports early application development and system validation before hardware is available.

What you will do

• Design and implement simulation models in modern C++ to replicate neuromorphic processors, CPUs, memory systems, and other SoC components
• Convert technical hardware specs into high-performance, verifiable software models
• Simulate power consumption and latency to identify performance bottlenecks
• Support early application development with accurate and configurable hardware simulation tools
• Work with Digital Design, Firmware, and SDK teams to ensure models reflect real hardware
• Write unit tests, review code, and improve simulation infrastructure quality
• Collaborate on expanding the SDK feature set
• Participate in team brainstorming and other SDK development tasks

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
• Strong C++ development skills (including C++17/20)
• Proven track record of designing modular, maintainable, and testable software architecture
• Experience in transaction-level modeling of hardware components
• Solid understanding of digital hardware fundamentals (e.g., CPU, instruction sets, memory systems, DMA)
• Familiarity with hardware/software co-design concepts
• Working knowledge of Python
• Great communication skills

Nice to have

• Experience working with RTL simulations, waveforms, and understanding how hardware behaves at the signal level
• Experience in low-power resource-constrained embedded programming
• Exposure to bare-metal firmware development, including assembly language
• Familiarity with RISC-V or ARM computer architectures
• Knowledge of machine learning, edge AI, and 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.