Neuromorphic Research Scientist

Innatera’s research tracks enable unique opportunities for end-to-end innovations. We address the problem of machine intelligence across the whole computing stack, from new models of computation down to hardware. We take inspiration from the brain's efficiency, and we research neural-inspired models of computation that are massively parallel, compute on-demand, and benefit from emerging nano- and microelectronics technologies to develop new disruptive neuromorphic computing systems. 

As a Neuromorphic Researcher you will be part of a multi-disciplinary team of disruptive innovators and thinkers that by adding neuromorphic circuits, systems, and algorithms enable cognitive sensing in edge devices. You will prototype AI solutions for consumer applications using neural network algorithms while advancing new architectures in close collaboration with our IC design team. Your contributions will shape the future of neuromorphic accelerators, transforming cutting-edge research into real-world applications.

• Experimenting with neuromorphic principles to enhance energy efficiency, latency, and performance in edge AI processing.

• Investigating architectural improvements, optimizations, and new features for Innatera’s AI accelerators and sensor solutions.

• Engaging in algorithm-hardware co-design to bridge the gap between computational models and silicon architectures.

• Developing and refining novel algorithms for model compactness, efficient mapping, and adaptation post-deployment.

• Building and evaluating prototypes of innovative neural algorithms using Innatera’s neuromorphic IC’s.

• Creating compelling demonstrators to showcase new designs and concepts.

• Publishing high-impact research in leading journals and conferences.

• Collaborating with academic partners for joint projects and partnerships.

• Contributing to project proposals for securing national and EU funding.

• Actively contributing to the evolution of Innatera’s neuromorphic roadmap.

• Supporting engineering teams in integrating new neuromorphic solutions into workflows and products.

• PhD in a relevant field (e.g., ML/AI, neuromorphic computing, computer architectures, electrical engineering, computer science, physics, or related fields).

• 4+ years of industry or academic experience in neural networks, neuromorphic designs, or hardware-software co-design.

• Proven expertise in developing prototypes, demonstrators, and adapting neural algorithms for optimized performance.

• Extensive knowledge of neural/neuromorphic hardware architectures (in-memory or near-memory computing).

• Familiarity with modern deep learning architectures (e.g., transformers, recurrent networks, state-space models).

• Hands-on experience with neural network design using frameworks like PyTorch or TensorFlow.

• Proficiency in programming (C/C++) and scripting languages (Python).

• Experience in analog IC design is a plus.

• Strong problem-solving ability with a proactive and hands-on approach.

• Excellent communication skills in English.

• A collaborative mindset, with experience working in diverse, cross-functional teams.

• A dynamic working environment around a fearless engineering culture

• Ambitious teams with the freedom to innovate

• A Flexible working environment (work from home policy, flexible working hours, advantageous holidays scheme)

• An inclusive company culture which embraces communication, diversity and support around holistic and personal development