AI Accelerator Power Engineer - Advanced Micro Devices, Inc

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We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

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AI ACCELERATOR - POWER ENGINEER

THE ROLE: 

AMD is looking for an engineer passionate about driving the best Power Performance Area (PPA) of AMD’s AI Accelerators for client, server, and adaptable silicon devices. The ideal candidate will have proven experience in driving power optimization to deliver industry leading performance/area and performance/power. You will be a member of a core team of incredibly talented industry specialists and will work on latest and rapidly evolving high-performance, low-power processor and accelerator IP for AI/ML applications.   

This role will require understanding of Power, tools & methodologies. 

THE PERSON:  

You have a passion for modern, complex processor architecture, digital design, and verification in general. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/time zones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. 

KEY RESPONSIBILITIES:  

• Collaborate with architects, hardware engineers, and firmware engineers to understand the impact of new features on perf & power 
• Analyze design metrics and make implementation choices to optimize PPA
• Build power models for sub-blocks & end user applications for estimation & projection
• Build Power test plan documentation covering all critical design features
• Power analysis/optimization/modeling 
• Perf/watt optimization efforts for existing & newer architectures
• Si-correlation of Power data
• May involve performing competitive analysis  

PREFERRED EXPERIENCE:  

• Knowledge of industry standard Power tools & methodologies
• Scripting language experience: Python, perl, shell preferred.
• Basic knowledge of ML/AI use cases 
• Strong verbal and written communication skills
• Ability to organize and present complex technical information
• Adept at collaboration among top-thinkers and architects with strong interpersonal skills to work across teams in different geographies
• Exposure to leadership or mentorship is an asset 
• Desirable assets with prior exposure to compute engines & AI/ML workloads.   

ACADEMIC CREDENTIALS:  

• Bachelors or Masters degree in computer engineering/Electrical Engineering 

Location:

San Jose, CA

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At AMD, your base pay is one part of your total rewards package.  Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detailhere.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.