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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.
Hardware Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until January 10, 2024
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- Characterize IP/SOC power and performance across a wide variety of workload/use-case types.
- Experience in a lab environment in debugging software and hardware issues and working with preproduction platforms.
- Develop and execute power and performance test plans across different device types from various vendors and operating systems.
- Create and maintain a database of power and performance metrics that can be a reliable source of truth on performance across competitive platforms and silicon
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