Senior Virtual Platform Functional Modeling Engineer

Advanced Micro Devices, Inc•San Jose, CA

6d•Hybrid

About The Position

AMD is building a next-generation distributed multi-node functional modeling environment to enable scalable pre-silicon system validation across future CPU, GPU, AI, and adaptive computing platforms. This technology provides software-executable representations of complex systems before silicon is available, allowing earlier software development, firmware bring-up, platform validation, and architectural exploration. As a Virtual Platform Functional Modeling Engineer, you will play a key role in defining and delivering the framework, infrastructure, and methodologies that power AMD's virtual platform capabilities. Working at the intersection of architecture, firmware, software, emulation, and validation, you will help develop a scalable environment that integrates processors, memory, I/O, and system-level models into distributed simulation platforms. This is a highly visible opportunity to influence the future of pre-silicon validation and accelerate platform readiness across AMD's product portfolio.

Requirements

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field preferred.
Master's degree preferred.
This role is not eligible for visa sponsorship.

Nice To Haves

Functional modeling, virtual platform development, simulation frameworks, firmware enablement, or pre-silicon modeling environments.
Experience using AI-assisted development tools to design, debug, optimize, and maintain complex software frameworks and models.
Strong C++ software development skills within modeling, systems software, firmware infrastructure, or platform-level environments.
Experience developing, integrating, or validating functional models, device models, virtual platforms, or modeling APIs.
Knowledge of test planning, regression infrastructure, validation methodologies, and CI/CD automation.
Understanding of SoC and platform architecture, including memory hierarchies, coherency mechanisms, CPU/GPU compute architectures, firmware-visible devices, and high-speed interconnects.
Familiarity with industry protocols and interconnect technologies such as PCIe, CXL, AXI, CHI, ACE, UCIe, HBM, DDR, or related coherency fabrics.
Experience translating architecture specifications into executable models and validation-ready platform behavior.
Exposure to virtual platform technologies such as SystemC/TLM-2.0, Arm Fast Models, Simics, QEMU, or similar frameworks.
Experience with virtual platform validation, platform bring-up, protocol testing, fault injection, or hardware/software co-validation.
Familiarity with large-scale infrastructure environments, including cloud-based and distributed compute platforms.
Experience establishing reusable modeling methodologies, APIs, debug capabilities, configuration frameworks, or regression automation standards.

Responsibilities

Collaborate with firmware, software, validation, and emulation teams to enhance virtual platform capabilities and enable complex workload execution.
Define and implement inter-node communication behavior within distributed simulation environments, including message ordering, flow control, protocol state machines, and error handling mechanisms.
Design and improve simulation orchestration services, including job scheduling, synchronization, logging, replay, and deterministic execution capabilities.
Develop model interfaces, adapters, communication frameworks, and platform assembly methodologies that enable scalable system integration.
Create validation strategies, regression suites, debug infrastructure, trace capabilities, and CI/CD automation to ensure model quality and reliability.
Partner with architecture, firmware, software, and system validation teams to align virtual platform functionality with product and platform requirements.
Evaluate commercial, open-source, and internally developed technologies that improve modeling productivity and platform scalability.
Contribute to technical documentation, knowledge sharing, training, and engagement with industry partners and open-source communities.