Physical AI SoC Architect

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.

Whetheryou'redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger- technologythat moves the world forward.Join us and, together, we'll advance your career.

KEY RESPONSIBILITIES

• Translate Physical AI, automotive, robotics, and vision workloads into SoC compute, memory, bandwidth, interconnect, and latency requirements.
• Model end-to-end data flows across sensor, CPU, AI accelerators, memory hierarchy, on-chip interconnect, and I/O.
• Analyze and optimize data placement and movement across DDR memory, caches, on-chip memory, accelerator-local memory, and buffers.
• Correlate AI compute requirements and accelerator performance with memory bandwidth, data movement, utilization, and system-level performance.
• Perform what-if and scaling analyses across camera count, resolution, frame rate, AI model characteristics, precision, memory configuration, and accelerator performance.
• Develop data-flow diagrams, bandwidth models, traffic timelines, latency budgets, and bottleneck analyses to drive architecture decisions.
• Evaluate architectural alternatives and make informed performance, power, area, and cost trade-offs.
• Collaborate with SoC, AI, CPU, memory, interconnect, software, and performance teams to optimize end-to-end system performance.
• Support architectural decisions through implementation and execution across the SoC development lifecycle.
  

PREFERRED EXPERIENCE

• Strong experience with heterogeneous SoC architecture and system performance analysis.
• Knowledge of x86 and/or ARM or RISC-V processor architecture, cache/memory hierarchies, coherent interconnects, and heterogeneous acceleration.
• Experience with AI/ML inference, computer vision, robotics, automotive, multimedia/imaging, or other complex SoC workloads.
• Strong understanding of DDR/LPDDR, cache and memory behavior, NoC/interconnect traffic, latency, QoS, and data movement.
• Experience developing analytical or simulation-based performance models using Python, C/C++, SystemC, MATLAB, or similar tools.
• Ability to translate application workloads into quantitative architecture requirements and identify system performance bottlenecks.
• Experience contributing to architecture, design, verification, or implementation across the SoC development lifecycle is highly valued.
• Familiarity with embedded system constraints including power, thermal limits, real-time performance, functional safety, and security is a plus.

ACADEMIC CREDENTIALS

• BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

LOCATION: San Jose, CA OR San Diego, CA OR Austin, TX

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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.