Principal Design Engineer

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 Strong 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 We’re doing work that matters. Help us solve what others can’t.