Wearable ML Power & Performance Optimization Engineer

Paradigm Nat'l; United States; On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Job summary

A technology company in the United States is looking for a Mid-Senior Level On Device ML Power and Performance Optimization Engineer. In this full-time role, you will work on optimizing machine learning workloads for wearable devices. Responsibilities include defining workload strategies and analyzing performance across various computing platforms. An educational background in Computer Science or Computer Engineering is required, along with experience in embedded systems and machine learning.

Qualifications

• 2+ years of experience with consumer products (e.g., Phone, Watch, Glass).
• Strong firmware skills for implementing tiny ML on hardware/MCUs.
• Ability to port and compile ML models for PnP metrics analysis.

Responsibilities

• Define ML workload partitioning strategies for accelerators.
• Develop guidelines for ML model architectural exploration.
• Execute ML benchmarks under various configurations.

Skills

Power and performance optimization

ML workload partitioning

Embedded development

Firmware skills

ML model compilation

Cross-functional collaboration

Education

BS in Computer Science or Computer Engineering

Tools

RTOS

Android development

Embedded development environment

ML development environment

Job description

A technology company in the United States is looking for a Mid-Senior Level On Device ML Power and Performance Optimization Engineer. In this full-time role, you will work on optimizing machine learning workloads for wearable devices. Responsibilities include defining workload strategies and analyzing performance across various computing platforms. An educational background in Computer Science or Computer Engineering is required, along with experience in embedded systems and machine learning.