Role Overview

We are seeking a highly skilled and motivated SoC Performance Modeling & Architecture Engineer to drive the definition, analysis, and optimization of our next-generation Systems-on-Chip (SoCs). In this role, you will be responsible for the end-to-end performance lifecycle from workload analysis and microarchitectural modeling to post-silicon correlation. You will evaluate complex architectural trade-offs across CPU, GPU, NPU/ML accelerators, Memory, and Network-on-Chip (NoC) subsystems to maximize performance-per-watt and shape the roadmap for future silicon.

Key Responsibilities

1. Performance Modeling & Simulation

- Leverage and Maintain Cycle-Approximate Models: Leverage, and maintain execution-driven and trace-driven SoC performance simulators (e.g., using C++, SystemC, or Python).
- Explore Architectural Space: Construct scalable models to project the performance of future SoC configurations and validate architectural concepts before RTL freeze.
- Hardware/Software Co-Design: Model the interaction between hardware subsystems and low-level software stacks to identify system-wide bottlenecks.

2. Workload Analysis & Benchmarking

- Characterize Workloads: Profile and analyze industry-standard benchmarks and real-world use cases across CPU (e.g., SPEC CPU), GPU (e.g., 3DMark, GFXBench), and Machine Learning/AI (e.g., MLPerf, LLM inference, CNNs).
- Trace Generation: Capture and manipulate instruction and memory traces from both pre-silicon environments and post-silicon hardware.

3. Subsystem & Interconnect Analysis

- NoC & Fabric Optimization: Evaluate Network-on-Chip (NoC) topologies, routing algorithms, arbitration schemes, and bandwidth/latency characteristics under heavy multi-master workloads.




- Memory Hierarchy Evaluation: Analyze the impact of cache hierarchies (L1/L2/System Cache), memory controllers, and various memory technologies (e.g., LPDDR5/6, HBM) on system performance.

4. PPA (Power, Performance, Area) Trade-off Studies

- Multi-Domain Trade-offs: Evaluate complex trade-offs when scaling or configuring different combinations of CPU cores, GPU compute units, and ML accelerators.

Required Qualifications & Skills

Technical Expertise

- Education: BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- Experience: 5+ years of industry experience in SoC/Processor architecture and performance modeling.
- Programming: Strong proficiency in C/ C++ and Python
- Architecture Knowledge: Deep understanding of contemporary computer architecture, including pipelining, out-of-order execution, cache coherence protocols, and virtual memory.
- Modeling Frameworks: Direct experience with performance modeling frameworks (e.g., gem5, SystemC, or proprietary cycle-accurate / cycle-approximate simulators).

Preferred Qualifications

- Hands-on experience with post-silicon debug tools and reading hardware performance counters (e.g., ARM PMU, Intel VTune, or internal test chips).
- Familiarity with ML frameworks (PyTorch, TensorFlow) and compiling/mapping models to specialized hardware accelerators.
- Experience utilizing data visualization tools to present complex performance metrics cleanly to cross-functional stakeholders.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 SoC Performance Modeling & Architecture Engineer (Bengaluru)
🏢 Advanced Micro Devices (AMD)
📍 Bengaluru