Senior Virtual Platform Functional Modeling Engineer

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$178,400–$267,600 / yr
Posted
63 days ago
Freshness
Confirmed live yesterday
Closes
Aug 25, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $223k
$86k $287k
below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $151,000–$213,200 — the blue band above. At the midpoint, this role pays about $223k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Senior Virtual Platform Functional Modeling Engineer

The Senior Virtual Platform Functional Modeling Engineer joins the team responsible for building a next-generation distributed multi-node functional modeling environment. This role focuses on enabling scalable pre-silicon system validation for future CPU, GPU, AI, and adaptive computing platforms by providing software-executable representations of complex systems. You will define and deliver frameworks, infrastructure, and methodologies to integrate processors, memory, and I/O into distributed simulation platforms. Key responsibilities include implementing inter-node communication behavior, designing simulation orchestration services, and developing model interfaces. You will utilize C++ software development skills alongside technologies such as SystemC/TLM-2.0, QEMU, and Simics. The work involves translating architecture specifications into executable models, managing protocols like PCIe and CXL, and creating validation strategies to accelerate platform readiness across the product portfolio.

What you'll do

  • Define and implement inter-node communication behaviors including message ordering, flow control, and protocol state machines.
  • Design and improve simulation orchestration services for job scheduling, synchronization, logging, and deterministic execution.
  • Develop model interfaces, adapters, and communication frameworks to enable scalable system integration.
  • Create validation strategies, regression suites, debug infrastructure, and CI/CD automation to ensure model reliability.
  • Translate architecture specifications into executable models and validation-ready platform behaviors.
  • Evaluate commercial, open-source, and internal technologies to improve modeling productivity and platform scalability.
  • Maintain technical documentation and provide training on virtual platform capabilities and methodologies.

What we're looking for

  • Strong analytical and debugging skills with a passion for computer architecture and system design.
  • Ability to drive technical initiatives from concept through implementation in a collaborative environment.
  • Experience in functional modeling, virtual platform development, simulation frameworks, firmware enablement, or pre-silicon modeling environments (preferred).
  • Strong C++ software development skills within modeling, systems software, firmware infrastructure, or platform-level environments (preferred).
  • Experience developing, integrating, or validating functional models, device models, virtual platforms, or modeling APIs (preferred).
  • Knowledge of SoC and platform architecture, including memory hierarchies, coherency mechanisms, and high-speed interconnects (preferred).
  • Exposure to virtual platform technologies such as SystemC/TLM-2.0, Arm Fast Models, Simics, QEMU, or similar frameworks (preferred).
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field (preferred).
  • Master's degree (preferred).

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