About the Company
Our client is a leading design house specializing in the development of connected consumer electronics and IoT devices. With a strong presence across the U.S. and a global footprint, they are renowned for tackling some of the market's most complex projects. Their culture emphasizes collaboration, knowledge sharing, and work-life balance, inspired by Scandinavian values. This is a fantastic opportunity to join a team that fosters innovation while supporting individual growth and well-being.
The Opportunity
Our client is seeking a highly skilled On-Device Machine Learning Power and Performance Optimization Engineer to join their Wearable Systems team in San Diego. This role involves optimizing power and performance for advanced AR/VR and mixed-reality devices, with a focus on embedded systems, ML accelerators, and model optimization.
Responsibilities
Key Qualifications
Minimum Requirements:
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- 2+ years of experience with consumer products such as phones, watches, glasses, or IoT devices.
- Proficiency with RTOS, Android, or embedded development environments.
- Familiarity with ML development tools and frameworks.
Preferred Qualifications:
- Master's degree in a relevant field with coursework in ML and computer architecture.
- 3+ years of experience in consumer electronics development.
- Hands-on expertise with ML frameworks like PyTorch or TensorFlow.
- Experience with ML accelerators (e.g., ARM U55/U65/U85) and compilers (e.g., Vela, Qualcomm AI SDK).
- Strong understanding of power measurement techniques and optimization methods.
What Makes This Opportunity Unique
Our client is offering the chance to work on pioneering technologies for wearable and IoT devices. They value individuals who are proactive, collaborative, and eager to learn new tools and methods. This role combines innovation with the support of a highly skilled and dynamic team.
