Job Title: Embedded AI Software Engineer
We are seeking a highly skilled Embedded AI Software Engineer to join our team. This is an exciting opportunity for a talented individual to work on cutting-edge technology and push the boundaries of what's possible in driver and operator monitoring.
As an Embedded AI Software Engineer, you will be responsible for ensuring that our advanced algorithms perform flawlessly and efficiently on edge devices. You will work closely with machine learning researchers to dissect model architectures, identify performance bottlenecks, and apply advanced optimization techniques to meet the strict constraints of embedded hardware.
Required Skills and Qualifications
* Bachelor’s qualification in Computer Science, Software Engineering, or an equivalent field.
* Strong programming skills and experience developing in Python.
* Proven experience with at least one major deep-learning framework (e.g., PyTorch, TensorFlow, JAX).
* Deep understanding of machine learning principles and deep learning architectures.
* A proactive mindset, with an eagerness to try new approaches and solve complex problems.
* Excellent problem-solving abilities and strong verbal and written communication skills.
* A collaborative team player who can work effectively across multiple teams.
Benefits
* Work on cutting-edge technology and contribute to the development of innovative AI solutions.
* Collaborate with a talented team of engineers and researchers to achieve shared goals.
* Develop your skills and expertise through ongoing training and professional development opportunities.
* Contribute to the growth and success of our organization.
Others
* Post-graduate qualification (PhD or Master’s) in Computer Vision, Machine Learning, or a related field is desirable.
* Hands-on experience optimizing models for performance on CPUs and/or NPUs is desirable.
* Familiarity with model optimization techniques is desirable.
* Experience programming in C++ is desirable.
* Experience with ML Ops tools such as Docker and MLFlow is desirable.
* Experience with embedded hardware and deploying AI systems in resource-constrained environments is desirable.