On-Device Machine Learning Optimization Engineer - Henderson Scott : Job Details

About the CompanyOur 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 OpportunityOur 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

• Power and Performance Analysis:

  • Collect and analyze power and performance data for ML benchmarks such as MLPerf-Tiny.
  • Execute benchmarks across different configurations, including accelerators and runtime environments.
  • Provide detailed characterizations of ML accelerators.

• Workload Optimization:

  • Define workload partitioning strategies based on power and performance metrics.
  • Develop guidelines for exploring ML model architectures.
  • Optimize existing ML models and implement them on ARM-based MCUs and accelerators using compilers like ARM Vela.

• AI Use Case Enhancement:

  • Analyze power and performance traces for AI-driven use cases.
  • Identify and implement optimization opportunities to improve power efficiency and performance.

• Collaborative Development:

  • Work closely with system architects, hardware engineers, and software teams to deliver optimized solutions.

Key QualificationsMinimum 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 UniqueOur 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.