RTL Power Reduction Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

THE ROLE:

A great opportunity to join our AMD Infinity Fabric power team, working with bleeding-edge technologies to deliver world-class products to the marketplace across a wide range of products portfolio including MI accelerators, Servers, laptop and gaming consoler.

 

THE PERSON:

A highly motivated engineer, and a great team player, with strong interest and skill set in RTL power reduction. Ideal candidate would have good arch/uArch background, or demonstrate strong interest building up that context to drive effective power improvements.

 

KEY RESPONSIBILITIES:

• Work within the Infinity Fabric power team to drive power reduction including estimation, analysis, and optimization, flow setup, and methodology improvements.
• Collaborate with system architects and designers, define use cases, identify and prototype power and perf-per-watt optimizations.
• Run performance models and power tools, write scripts, analyze data, and evaluate tradeoffs against project goals.
• Power management algorithm design and implementation.
• Leverage latest AI tools and flows to drive automation and analysis

PREFERRED EXPERIENCE:

• Strong experience in ASIC power and low-power design techniques.
• Strong experience in power analysis and optimization tools (e.g. Ptpx, Power Artist, etc.)
• Strong experience in RTL design, simulation, and synthesis.
• Experienced in performance, analyzing perf/power trade-offs
• Knowledge in NOCs, memory controllers, SOC blocks is a plus.
• Scripting language, e.g. Python, etc.
• Strong analysis and problem-solving skills, well organized, and self-driven.
• Excellent communication skills.

EDUCATION:

Bachelor or Masters Degree in Electrical Engineering or Computer Science or related field. 

 

This role is not eligible for visa sponsorship.

 

#LI-MR1

#LI-HYBRID

Benefits offered are described:  AMD benefits at a glance.

 

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.

 

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

THE ROLE:

A great opportunity to join our AMD Infinity Fabric power team, working with bleeding-edge technologies to deliver world-class products to the marketplace across a wide range of products portfolio including MI accelerators, Servers, laptop and gaming consoler.

 

THE PERSON:

A highly motivated engineer, and a great team player, with strong interest and skill set in RTL power reduction. Ideal candidate would have good arch/uArch background, or demonstrate strong interest building up that context to drive effective power improvements.

 

KEY RESPONSIBILITIES:

• Work within the Infinity Fabric power team to drive power reduction including estimation, analysis, and optimization, flow setup, and methodology improvements.
• Collaborate with system architects and designers, define use cases, identify and prototype power and perf-per-watt optimizations.
• Run performance models and power tools, write scripts, analyze data, and evaluate tradeoffs against project goals.
• Power management algorithm design and implementation.
• Leverage latest AI tools and flows to drive automation and analysis

PREFERRED EXPERIENCE:

• Strong experience in ASIC power and low-power design techniques.
• Strong experience in power analysis and optimization tools (e.g. Ptpx, Power Artist, etc.)
• Strong experience in RTL design, simulation, and synthesis.
• Experienced in performance, analyzing perf/power trade-offs
• Knowledge in NOCs, memory controllers, SOC blocks is a plus.
• Scripting language, e.g. Python, etc.
• Strong analysis and problem-solving skills, well organized, and self-driven.
• Excellent communication skills.

EDUCATION:

Bachelor or Masters Degree in Electrical Engineering or Computer Science or related field. 

 

This role is not eligible for visa sponsorship.

 

#LI-MR1

#LI-HYBRID

Benefits offered are described:  AMD benefits at a glance.

 

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.

 

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.