Offer summary

Qualifications:

PhD or equivalent research experience in neuromorphic computing or engineering., Strong background in deep learning and machine learning foundations., Proficiency in software development with Python, PyTorch, TensorFlow, or similar tools., Excellent analytical, experimental, and communication skills..

Key responsibilities:

Conduct foundational research and algorithm development for neuromorphic AI.

Analyze and optimize ML models for energy efficiency and performance on neuromorphic hardware.

Collaborate with multidisciplinary teams and support application development on edge devices.

Build prototypes and demonstrate AI processing pipelines for real-world applications.

Job description

Summary

We are looking for a highly skilled (preferably staff-level) AI researcher + engineer with a solid neuromorphic computing and AI background in neural networks, who will contribute to foundational explorations and development of (new) algorithms and use-cases for neuromorphic AI technology, and will support design-space explorations for future sensing and acceleration solutions for energy-efficient real-world embedded AI applications.

We will trust you with:

Conducting foundational explorations in AI efficiency and pushing the technology readiness of state-of-the-art neuromorphic research.
Researching and developing efficient/neuromorphic AI algorithms (models, advanced features, learning methodologies, etc), and participating in the creation of intellectual property (research papers in high-impact conferences/journals and patents).
Analysing and optimizing ML models running on neuromorphic (dataflow) hardware architectures to enhance energy efficiency, reduce latency, and improve performance and scalability of edge AI processing.
Supporting algorithm-hardware co-design and co-optimization by investigating architectural improvements, and algorithmic optimizations, and proposing new features for Innatera’s accelerators and sensor solutions.
Building demonstrators and prototyping end-to-end (sensor-to-actuation) AI processing pipelines and applications on edge devices and Innatera hardware.
Exploring and identifying unique selling points of neuromorphic technology in various application domains (e.g. robotics, smart spaces, communications, signal processing, bio-medical, etc).
Supporting application developers with foundational ML/AI know-how, and spedifically in aspects pertinent to energy and latency efficiency of AI.
Engaging in collaborations with our academic, business, and community project partners (capable of mentoring junior engineers/researchers).
Thriving overall in a multi-disciplinary and dynamic environment (that includes hardware designers, platform developers,algorithm researchers, and embedded application developers) with the aim to bring neuromorphic AI technology to the market.
NB: The term Neuromorphic includes but is not limited to SNNs

Your experience includes:

Research-level experience in Neuromorphic computing and Engineering (PhD degree preferable). With a publication track record in a relevant area (e.g., ML/AI, neuromorphic computing/engineering).
Solid knowledge of Deep-Learning (and ideally broader ML) theory and foundations.
Good in software conceptualization and prototyping (able to write tidy and readable code). Experience with tooling for ML/AI development/testing (Python, Pytorch/TF, ScikitLearn, etc).
Systematic in empirical experimentation, data analysis and documentation of results.
Experienced with drafting research manuscripts for publications.
Good at abstract and analytical thinking and capable of communicating succinctly abstract concepts and ideas.

Nice to Have:

Some background in optimization (linear/non-linear).
Some knowledge of computer architectures.
Experience with writing project proposals and supervising/mentoring junior researchers/engineers.
Some proficiency in C/C++ and embedded systems programming.

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.

Apply for this job

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.

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