Sr. Timing Methodology Engineer

AMD; San Jose (CA); Presencial; USD 180 000 - 230 000; Tempo integral

Resumo da oferta

AMD in San Jose is seeking a senior professional to define, develop, and drive timing methodologies across the Adaptive and Embedded Computing Group. You will collaborate with architecture, product planning, process, design, and product engineering teams to realize silicon solutions with best-in-class PPA, addressing 2nm and beyond on monolithic and 2.5/3DIC adaptive SOCs and FPGAs.

The role emphasizes optimizing power, performance, and area while meeting schedules and costs; you will convert

Qualificações

• Experience in custom/physical design and sign-off.
• Proficiency with PD/analysis/sign-off tools.
• Experience with FPGA implementation tools.
• Strong communication and collaboration abilities.
• Programming skills in Python, Perl, or Tcl.

Responsabilidades

• Define, develop, and drive timing and power methodologies for advanced process nodes.
• Collaborate with implementation and sign-off teams.
• Work with CAD, power integrity, foundry, and EDA vendors on margins and risk mitigation.

Conhecimentos

Custom/physical design

Sign-off engineering

PD/analysis/tools

FPGA tools

Communication

Programming: Python/Perl/Tcl

Collaboration

Formação académica

Bachelor's or Master's in Computer or Electrical Engineering

Ferramentas

Physical design tools

Sign-off tools

FPGA implementation tools

Descrição da oferta de emprego

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

In this senior position, you will be defining, developing, and driving timing methodologies across the Adaptive and Embedded Computing Group. You will work closely with architecture, product planning, process, design, and product engineering teams to realize silicon solutions with best‑in‑class PPA. You will bring your experience and expertise to solve the teams most pressing challenges in sign‑off and modeling methodologies at 2nm and beyond on monolithic and 2.5/3DIC adaptive SOCs and FPGAs. Your solutions will enable products to compete in markets from the edge to the cloud while pushing the limits of performance and efficiency.

THE PERSON

You are detail‑oriented, possess effective communication skills, and are an experienced problem solver. You are passionate about optimizing for power, performance and area while meeting schedules and managing cost. You embrace cross‑functional collaboration and continuous learning. You are comfortable converting high level requirements from product planning, foundry, and other stakeholders into a set of methodologies and guidelines for the design community.

KEY RESPONSIBILITIES

• Define, develop, optimize and drive design, timing and power methodologies for advanced process nodes.
• Collaborate with implementation and sign‑off teams.
• Collaborate with CAD, power integrity, foundry teams and EDA vendors to understand margins and sign‑off risks and develop mitigation strategies.

PREFERRED EXPERIENCE

• Experienced custom, physical design and/or sign‑off engineer.
• Expert user of industry‑standard physical design, analysis, and sign‑off tools.
• Experience with FPGA implementation tools.
• Experience advocating for technical solutions in a collaborative team environment.
• Excellent communication and collaboration skills.
• Good programming skills (Python, Perl, Tcl).

ACADEMIC CREDENTIALS

• Bachelors or Masters degree in Computer Engineering or Electrical Engineering.

LOCATION

San Jose, CA

This role is not eligible for visa sponsorship.

ADDITIONAL INFORMATION

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.