
51 - 200 funcionários
🏭 Manufatura
🤖 Inteligência Artificial
🔧 Hardware
Manufacturing • Artificial Intelligence • Hardware
A Innatera é uma desenvolvedora de processadores neuromórficos de ultra baixa potência e softwares de suporte, incluindo o Spiking Neural Processor (Pulsar T1) e o Talamo SDK, com sede na Holanda. A empresa constrói chips de sinais analógicos-mistos que executam redes neurais pulsantes (SNNs) para oferecer reconhecimento de padrões sempre ativo, com baixa latência e processamento de sensores para aplicações de borda que necessitam de pouca energia e são críticas em termos de latência. A Innatera tem como público-alvo clientes de sensores, IoT e sistemas embarcados que precisam de cognição inspirada no cérebro e orientada a eventos próximo ao sensor.
🕒 Junho 18
🌐 Estados Unidos, Reino Unido, +1 outros países – Remoto
⏰ Tempo Integral
🟠 Sênior
👷🏻♀️ Engenheiro
👻 Score fantasma 10%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
🏭 Manufatura
🤖 Inteligência Artificial
🔧 Hardware
Manufacturing • Artificial Intelligence • Hardware
A Innatera é uma desenvolvedora de processadores neuromórficos de ultra baixa potência e softwares de suporte, incluindo o Spiking Neural Processor (Pulsar T1) e o Talamo SDK, com sede na Holanda. A empresa constrói chips de sinais analógicos-mistos que executam redes neurais pulsantes (SNNs) para oferecer reconhecimento de padrões sempre ativo, com baixa latência e processamento de sensores para aplicações de borda que necessitam de pouca energia e são críticas em termos de latência. A Innatera tem como público-alvo clientes de sensores, IoT e sistemas embarcados que precisam de cognição inspirada no cérebro e orientada a eventos próximo ao sensor.
• Design and implement simulation models in modern C++ (C++17/20) to replicate the functions of neuromorphic processors, CPUs, memory systems, and other components in the full SoC; • Convert technical hardware specs into high-performance, verifiable software models; • Contribute to performance modeling: simulate power consumption, latency to identify performance bottlenecks; • Work closely with cross-functional teams (Digital Design, Firmware, SDK) to ensure models reflect the real hardware faithfully; • Collaborate on expanding our SDK feature set, ensuring the usability of the simulation for external developers. • Participate in team brainstorming and contribute to other SDK development tasks as needed.
• 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 (e.g., for scripting, automation, or SDK integration); • 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).
• 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. • Take ownership of simulation infrastructure quality: write unit tests, review code, and continuously improve design and maintainability. • Collaborate with cross-functional teams (Digital Design, Firmware, SDK) to ensure models reflect the real hardware faithfully. • Support early application development with accurate and configurable hardware simulation tools.
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