At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Performance Modeling Engineer

Location – India (Pune)

Summary

We are looking for modeling engineers to help develop performance models, perform architectural tradeoff analysis, and enable data driven design decisions for our next generation DDR memory controller architectures that can meet today’s complex SoC and workload requirements. Hardware modelling experience (C++/SystemC/TLM/Python) and computer architecture foundation is desired.

Responsibilities
Develop cycle-level performance models in SystemC or C++
Correlate performance models to match RTL configurations and traffic conditions
Work with Memory Architects to understand feature requirements, architectural specifications and implement in the model
Analyze architectural trade-offs (throughput, hardware cost) across different scenarios and architectural choices
Develop synthetic memory traffic/traces that are representative of real-world applications (CPU, GPU, DSP, NoC, etc)




Develop scripts to automate generation of various performance metrics and statistics post RTL simulation that helps identify performance bottlenecks

Required Skills
BE/B.Tech ME/M.Tech in ECE, E&TC;, CS or similar
8+ years of experience in hardware modeling, functional or performance
Robust coding skills in C++, SystemC and Transaction Level Modeling (TLM)
Basic understanding of performance principles, Queuing Theory, throughput/latency tradeoffs

Additional Skills
Understand RTL-Verilog, SV, UVM and experience analyzing waveforms
Understand memory protocols and timing – DDR4, DDR5, LP4, LP5
Experience using performance simulators – Memory Controller, NoC, CPU models
Coding in Python and familiarity with packages like Pandas, Matplotlib
Experience working with performance benchmarks – SPEC, STREAM, etc
Concepts related to Quality of Service (QoS) and how memory controller can tradeoff performance and latencies

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📌 Principal Design Engineer Pune
🏢 Cadence Design Systems
📍 Pune