Front-End Power Engineer - AI Engine
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THE ROLE:
AMD-Xilinx is seeking a capable and motivated front-end power engineer to fill a technical leadership role in front-end design team of next generation AI Engine/ML silicon. You will take part in microarchitecture and design of high-performance, low-power processor and accelerator IP for AI/ML applications.
THE PERSON:
Successful candidate would have strong experience in ASIC power analysis methodology with ASIC Design background
KEY RESPONSIBILITIES:
- Drive energy efficient RTL design and micro-architecture of AI/ML silicon
- Develop power analysis methodology that can provide early power estimation for AI Engine IP
- Establish PPA tracking, power analysis and data collection for all AI Engine uArchitectures
- Define power vectors using various data type and estimate power using power analysis tools
- ASIC power estimation and modeling with feedback from silicon, create accurate early-stage power model using pre-silicon simulation for post-silicon power correlation
- Work with architecture, verification and RTL design, and Physical Design team to address any power-related issue
- Extend EDA tools to build strong power analysis methodology to achieve PPA improvements
PREFERRED EXPERIENCE:
- Knowledge of Low power digital design and power analysis and reduction techniques for energy efficiency (Perf/Watt)
- Experience in ASIC design flow and EDA tools experience such as VCS, Verdi, PrimePower/PTPX, PowerArtist or other power analysis/simulation tools
- Experience in SystemC, Early power modeling, TCL, Perl, Python with numpy, scikit-learn
- Complex Problem-solving skill, Strong verbal and written communication skills
- Understanding of FPGA architecture and implementation flow
- Experience in working with Linux environment, Version control systems such as Perforce, ICManage or Git
ACADEMIC CREDENTIALS:
- Bachelors or Masters degree in Computer Engineering/Electrical Engineering
LOCATION:
San Jose, CA, USA
COMPENSATION:
Expected to range from $105,140 to $195,260 commensurate with experience and specific skill sets
#LI-NM1
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 detail here.
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.
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 detail here.
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.
THE ROLE:
AMD-Xilinx is seeking a capable and motivated front-end power engineer to fill a technical leadership role in front-end design team of next generation AI Engine/ML silicon. You will take part in microarchitecture and design of high-performance, low-power processor and accelerator IP for AI/ML applications.
THE PERSON:
Successful candidate would have strong experience in ASIC power analysis methodology with ASIC Design background
KEY RESPONSIBILITIES:
- Drive energy efficient RTL design and micro-architecture of AI/ML silicon
- Develop power analysis methodology that can provide early power estimation for AI Engine IP
- Establish PPA tracking, power analysis and data collection for all AI Engine uArchitectures
- Define power vectors using various data type and estimate power using power analysis tools
- ASIC power estimation and modeling with feedback from silicon, create accurate early-stage power model using pre-silicon simulation for post-silicon power correlation
- Work with architecture, verification and RTL design, and Physical Design team to address any power-related issue
- Extend EDA tools to build strong power analysis methodology to achieve PPA improvements
PREFERRED EXPERIENCE:
- Knowledge of Low power digital design and power analysis and reduction techniques for energy efficiency (Perf/Watt)
- Experience in ASIC design flow and EDA tools experience such as VCS, Verdi, PrimePower/PTPX, PowerArtist or other power analysis/simulation tools
- Experience in SystemC, Early power modeling, TCL, Perl, Python with numpy, scikit-learn
- Complex Problem-solving skill, Strong verbal and written communication skills
- Understanding of FPGA architecture and implementation flow
- Experience in working with Linux environment, Version control systems such as Perforce, ICManage or Git
ACADEMIC CREDENTIALS:
- Bachelors or Masters degree in Computer Engineering/Electrical Engineering
LOCATION:
San Jose, CA, USA
COMPENSATION:
Expected to range from $105,140 to $195,260 commensurate with experience and specific skill sets
#LI-NM1