Required Qualifications
- 7+ years of technical engineering experience
o OR Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years of technical engineering experience
o OR Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years of technical engineering experience
o OR Doctorate degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field
- 3+ years of SoC (System-On-A-Chip), IP (Intellectual Property) or platform architecture experience with demonstratable understanding of power and performance evaluation with industry standard benchmarks for SoC IP building blocks (CPU/GPU/NPU/Memory Controller) in client SoCs.
- Demonstrated familiarity of OS fundamentals (memory management, scheduler, power management) and experience working with multiple operating systems (Windows, Linux, MacOS).
- Demonstrated experience working with pre-production silicon and platforms conducting power and performance analysis activities in a lab environment.
Preferred Qualifications
- 10+ years of technical engineering experience
- OR Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, OR related field AND 8+ years of technical engineering experience
- OR Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, OR related field AND 6+ years of technical engineering experience
- OR Doctorate degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, OR related field AND 3+ years of technical engineering experience.
- Familiarity with SoC performance benchmarking concepts and performance indicators in each of the following areas: graphics IP, CPU IP, SoCs and neural processing engines.
- Demonstrated experience with scripting languages bash/python/perl/ruby or others to drive automation and analysis tasks.
- Familiarity with AI frameworks and tools necessary to convert/run/optimize and analyze AI model performance across different hardware vendors.
- Demonstrated communication, collaboration and teamwork skills and ability to contribute to diverse and inclusive teams.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: