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.

• 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.

• 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.

• You will be part of a pioneering team at the forefront of neuromorphic AI, shaping the future of ultra-low-power computing.

• You will work in a high-growth startup environment where your contributions drive real innovation and market impact.

• You will work with an ambitious cross-disciplinary team with the freedom to explore new ideas, push technological boundaries and innovate;

• You will have a flexible working environment that fosters both technical and personal growth;

• You will have an inclusive company culture which embraces communication, diversity and support around holistic and personal development.

If you're an AI/ML expert passionate about neuromorphic engineering and eager to develop groundbreaking edge AI solutions, we’d love to hear from you!