Staff Embedded Neuromorphic Applications Engineer

Summary

We are looking for a highly skilled Staff Embedded Neuromorphic 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, focusing on embedded applications and TinyML frameworks;

• Analyzing and optimizing ML models for latency, memory usage, power consumption, and resource utilization, leveraging our SoC capabilities;

• Working closely with hardware, software teams and customers to deliver end-to-end solutions for diverse application use-cases;

• 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 you need to succeed:

• PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field;

• A minimum of 5 years in developing AI applications, with a strong emphasis on TinyML.

• Proficiency in programming languages and frameworks such as Python, PyTorch, and TensorFlow;

• Demonstrated knowledge and/or experience in neuromorphic engineering or spiking neural networks (SNN);

• Experience in developing software frameworks for energy-efficient AI applications;

• Exceptional analytical skills with a creative approach to addressing complex challenges;

• Ability to articulate intricate neuromorphic concepts to a diverse range of stakeholders effectively;

• Proven ability to inspire and lead teams, fostering collaboration and innovation.

Nice to have:

• Background in robotics, autonomous systems, or edge AI applications utilizing neuromorphic systems;

• Familiarity with emerging standards and ethical considerations in neuromorphic AI.

We offer you:

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.

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.