AI/ML Engineer

In this role, you will:

• Execute and analyze CPU/GPU/AI-ML workloads and benchmarks on Android and Linux platforms.
• Run and interpret power, thermal, and performance KPIs from synthetic workloads and system benchmarks.
• Collect and evaluate KPIs from MLPerf, GenAI models, and vision workloads.
• Gather logs and profiling data from SoC subsystems including CPU, NPU, DDR, etc.
• Monitor and report power and performance metrics for dashboard generation.
• Develop and maintain automation scripts using Python, Shell, or Batch for data collection and reporting.
• Operate lab equipment such as oscilloscopes, power analyzers, and other diagnostic tools.

Your Profile:

• 6–9 years of experience in system-level validation, performance analysis, and power optimization.
• Proven experience in executing and analyzing workloads on Android and Linux platforms.
• Strong understanding of SoC architecture and subsystems including CPU, GPU, NPU, and memory.
• Hands-on expertise in power and performance measurement and optimization.
• Proficiency in scripting languages like Python, Shell, or Batch for automation and data parsing.
• Familiarity with lab equipment used for system validation and diagnostics.
• Analytical mindset with the ability to interpret complex performance data and derive actionable insights.
• Bachelor’s or Master’s degree in Electronics, Computer Engineering, or a related field.