About us:

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.

We are looking for a highly skilled Staff Embedded AI Applications Engineer to drive the development and deployment of neuromorphic AI solutions for sensor-driven applications. This role involves collaborating with cross-functional teams and customers to deliver innovative, energy-efficient AI applications that address real-world challenges.

We will trust you with:

• Designing, implementing, and maintaining robust AI/ML algorithms using Innatera’s SDK, tailored for embedded systems and TinyML applications;
• Analyzing and optimizing ML models for latency, memory usage, power consumption, and resource utilization using our spiking neural network (SNN) SoC;
• Developing and integrating end-to-end software pipelines and applications on MCUs or edge devices, collaborating with hardware, compiler, and customer teams
• Contributing to the advancement of neuromorphic computing by developing new methodologies and participating in the creation of intellectual property, including patents and research publications;
• Guiding and mentoring junior engineers, fostering a culture of continuous learning and innovation within the team;
• Providing technical expertise in customer interactions, developing tailored solutions and supporting business development initiatives.

What will you need to succeed:

• PhD or Master's in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field;
• 5+ years of experience in developing embedded AI applications, TinyMl or edge AI development;
• Proficiency in Python, C or C++ for real-time, resource-constrained systems;
• Familiarity with frameworks like TensorFlow Lite, PyTorch, ONNX, or custom TinyML stacks;
• Experience in developing software frameworks for energy-efficient AI applications;
• Excellent problem-solving and communication skills, with the ability to explain complex ideas clearly;
• Ability to articulate intricate neuromorphic concepts to a diverse range of stakeholders effectively;
• Curiosity, self-direction, and a passion for building efficient, elegant solutions.

Nice to have:

• Understanding of neuromorphic principles and/or spiking neural networks (SNNs) is a strong plus;
• Background in robotics, autonomous systems, or sensor fusion applications at the edge;
• Hands-on experience with hardware/software co-design and optimization workflows;
• Contributions to academic research, patents, or open-source neuromorphic tools;
• Familiarity with emerging standards and ethical considerations in neuromorphic AI.

Why join Innatera?

At Innatera, you'll be part of a team shaping the future of AI hardware. Your work will help create solutions that power intelligent devices, improving industries and empowering everyday life, from consumer electronics to healthcare.

Our culture of technical excellence, collaboration, and real-world impact provides a unique opportunity to work alongside disruptive innovators, talented engineers, researchers and specialists. As part of our team, we recognize that your expertise and dedication are invaluable. To ensure your success and well-being, we offer a comprehensive benefits package:

• Competitive salary;
• Pension plan;
• Ambitious team with the freedom to innovate;
• A flexible working environment (work-from-home policy, flexible working hours, advantageous holidays scheme);
• An inclusive company culture that embraces open communication, diversity and supports holistic personal development;
• Compensation for commuting to the office, fruits, drinks and snacks in the office.

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.