Senior Embedded Machine Learning Engineer (TinyML)

Innatera's Algorithms team delivers innovative, advanced AI algorithms and methodologies which are central to the neuromorphic technology in our processors.

Our team is looking for a Senior Embedded Machine Learning Engineer. The ideal candidate has a strong record of Embedded ML development and deployment in a commercial, applied context.

• Lead the design and implementation of state-of-the-art machine learning algorithms tailored for both real-world hardware and software applications;

• Build and optimize embedded ML models using PyTorch and NumPy, bringing them to life in embedded systems with C and Python;

• Analyze, benchmark, and fine-tune embedded ML pipelines to achieve latency, memory efficiency, and power optimization;

• Pioneer explainable AI techniques that provide actionable insights into model behavior and drive trustworthy solutions for our customers and end-users;

• Expand our ML toolkit by researching and integrating the latest methodologies, staying at the forefront of AI innovation;

• Establish scalable, reproducible workflows that set a standard for excellence in embedded ML development;

• Partner with a multidisciplinary team of hardware engineers, data scientists, and software developers to deliver integrated software and hardware application use cases;

• Provide critical algorithm insights to hardware development teams to facilitate seamless integration and performance optimization;

• Support the integration of ML models with hardware AI accelerators and neuromorphic processors;

• Collaborate with internal teams and clients to identify and design requirements for complex customer use cases;

• Translate customer needs into technical specifications and actionable project plans;

• Present findings and insights to stakeholders to inform decision-making and strategy;

• Mentor junior engineers and interns, fostering a culture of continuous learning and technical excellence within the team;

• Contribute to the creation of intellectual property, including patents and proprietary know-how.

• A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry experience;

• Solid understanding of architecture specifications, and the ability to design and develop industry-standard embedded software and methodologies;

• 5+ years of hands-on experience in the development and deployment of AI solutions;

• Previous experience in Embedded or TinyML AI application development;

• Proficiency in C/C++ for logical programming for embedded software development and Python for ML model development;

• Strong experience with TensorFlow/PyTorch and Scikit-learn;

• Familiarity with hardware AI accelerator architectures and neuromorphic processors;

• Experience working with time series data/sensor data/real-time data processing;

• Proficiency in using version control systems.

• Strong analytical and problem-solving abilities with great attention to detail;

• Excellent communication skills for effective collaboration with cross-functional team and stakeholders;

• A proactive and self-motivated attitude toward learning and innovation.

• 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.