Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology 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 AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE TEAM: The Competitive Advanced Performance (CAP) team is a new, visible capability focused on predicting, validating and explaining competitive server CPU performance before products reach the market. Joining now means helping define the methods, tools and operating model from the ground up. THE ROLE:   AMD is looking for an engineer who can build workload-relevant models of future AMD and competitor server platforms before silicon is available. You will convert public disclosures, measured behavior, partner-authorized data and software or platform observations into explicit assumptions about future Intel, Arm, hyperscaler custom, NVIDIA, Qualcomm and emerging CPU designs. This is not a static feature-comparison role; the work must explain what a platform is likely to deliver on real workloads, why, and with what level of confidence.   THE PERSON:   You enjoy proving architectural models against real workloads. You can reason from incomplete information without hiding uncertainty, connect microarchitectural mechanisms to observed bottlenecks, and communicate the result in a way that is useful to both deep technical experts and senior decision-makers. You are equally comfortable with performance counters, analytical models, diagrams and written argument.   KEY RESPONSIBILITIES:   • Develop comparative models of CPU front ends, execution resources, branch behavior, cache and TLB hierarchies, coherence, memory subsystems and multi-socket or NUMA behavior. • Model platform constraints and advantages including memory bandwidth and capacity, DDR or HBM attachment where relevant, PCIe, CXL, networking, storage paths, power limits and thermals. • Translate incomplete roadmap disclosures into explicit assumptions with confidence levels, alternate cases and sensitivity ranges. • Use measured silicon, performance counters and platform telemetry to calibrate models and identify failing assumptions. • Perform bottleneck decomposition that explains why a workload favors AMD or a competitor and which architectural mechanism is responsible. • Work with workload engineers to create microbenchmarks and kernels that isolate high-value architectural effects. • Evaluate ISA and acceleration features in the context of real application uplift rather than theoretical peak capability. • Quantify performance-per-watt, platform power and rack-density implications when architectural choices change system behavior. • Maintain version-controlled assumptions, sources, revisions and uncertainty so forecasts can be peer reviewed and reproduced. • Create architecture diagrams, technical narratives and executive-ready content that clearly show causes, risks and areas of AMD advantage. REQUIRED EXPERIENCE:   • Deep hands-on experience in CPU microarchitecture, silicon performance, system architecture or performance modeling. • Strong knowledge of out-of-order pipelines, branch prediction, fetch and decode, execution back ends and simultaneous multithreading behavior. • Expertise in cache, TLB, coherence, prefetching, memory controllers, NUMA, bandwidth, latency and capacity scaling. • Experience with hardware performance counters, profiling tools, microbenchmarks, system telemetry and bottleneck analysis. • Strong quantitative and scripting or data-analysis skills used in performance investigations. • Ability to reason from incomplete information, make assumptions explicit and show which unknowns can change the conclusion. • Clear technical writing and visualization skills, with a commitment to configuration control, peer review and reproducibility.   PREFERRED EXPERIENCE:   • Pre-silicon performance modeling, architecture exploration or simulation experience. • Hands-on analysis of more than one server CPU architecture or ISA. • Experience with memory-intensive workloads, virtualization, HPC, analytics or CPU-side AI workloads. • Familiarity with power modeling, thermals, platform firmware and frequency or power-management behavior. • Experience evaluating vendor disclosures, patents, conference presentations or public technical materials under clean-room rules.   WHY THIS OPPORTUNITY STANDS OUT:   • Build models before silicon and then see them tested, calibrated and improved against real systems. • Work across the full path from pipeline behavior to memory, I/O, power and rack-level consequences. • Shape where AMD investigates, optimizes and invests by identifying architectural risk early. • Develop broad influence across architecture, workload engineering, forecasting and platform teams. ACADEMIC CREDENTIALS:   • Bachelors or M asters degree in electrical or computer engineering LOCATION: Austin, Texas This role is not eligible for visa sponsorship. #LI-RW1 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.

Requirements

Must-haves

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
Develop comparative models of CPU front ends, execution resources, branch behavior, cache and TLB hierarchies, coherence, memory subsystems and multi-socket or NUMA behavior.
Model platform constraints and advantages including memory bandwidth and capacity, DDR or HBM attachment where relevant, PCIe, CXL, networking, storage paths, power limits and thermals.
Translate incomplete roadmap disclosures into explicit assumptions with confidence levels, alternate cases and sensitivity ranges.
Use measured silicon, performance counters and platform telemetry to calibrate models and identify failing assumptions.
Perform bottleneck decomposition that explains why a workload favors AMD or a competitor and which architectural mechanism is responsible.
Work with workload engineers to create microbenchmarks and kernels that isolate high-value architectural effects.
Evaluate ISA and acceleration features in the context of real application uplift rather than theoretical peak capability.
Quantify performance-per-watt, platform power and rack-density implications when architectural choices change system behavior.
Maintain version-controlled assumptions, sources, revisions and uncertainty so forecasts can be peer reviewed and reproduced.
Create architecture diagrams, technical narratives and executive-ready content that clearly show causes, risks and areas of AMD advantage.
Deep hands-on experience in CPU microarchitecture, silicon performance, system architecture or performance modeling.
Strong knowledge of out-of-order pipelines, branch prediction, fetch and decode, execution back ends and simultaneous multithreading behavior.
Expertise in cache, TLB, coherence, prefetching, memory controllers, NUMA, bandwidth, latency and capacity scaling.
Experience with hardware performance counters, profiling tools, microbenchmarks, system telemetry and bottleneck analysis.
Strong quantitative and scripting or data-analysis skills used in performance investigations.
Ability to reason from incomplete information, make assumptions explicit and show which unknowns can change the conclusion.
Clear technical writing and visualization skills, with a commitment to configuration control, peer review and reproducibility.
Build models before silicon and then see them tested, calibrated and improved against real systems.

Nice-to-haves

Pre-silicon performance modeling, architecture exploration or simulation experience.
Hands-on analysis of more than one server CPU architecture or ISA.
Experience with memory-intensive workloads, virtualization, HPC, analytics or CPU-side AI workloads.
Familiarity with power modeling, thermals, platform firmware and frequency or power-management behavior.
Experience evaluating vendor disclosures, patents, conference presentations or public technical materials under clean-room rules.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: amd
Effort: medium

Benefits

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