About Us:
We're pushing boundaries in AI-driven wearable tech and IoT solutions. Join our innovative team to shape the future of AR/VR and mixed reality devices.
The Role:
We're looking for an Embedded AI Engineer to optimize power and performance for on-device machine learning. You'll work on cutting-edge AI use cases, ensuring our wearable devices deliver top performance and efficiency.
What You'll Do:
Analyze power and performance metrics for ML benchmarks.
Optimize ML models and deploy them on ARM-based MCUs and accelerators.
Collaborate with hardware and software teams to deliver AI-driven solutions.
Enhance AI performance and power efficiency through profiling and optimization.
What You Need:
Bachelor's in Computer Science, Engineering, or related field.
2 years in embedded systems and consumer electronics.
Experience with ML frameworks (TensorFlow, PyTorch).
Hands-on work with RTOS, Android, and embedded tools.
Nice to Have:
Master's degree and 3 years in embedded AI/ML development.
Expertise with ARM accelerators and AI SDKs.
Strong profiling and performance analysis skills.
Why Join Us?
Work on breakthrough AI technologies.
Competitive salary and benefits.
Growth and development opportunities.
