CPU Workload Tracing Staff Engineer

QUALCOMM, Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Qualcomm India Private Limited in Bengaluru seeks a senior CPU Workloads Tracing Engineer to own the performance pipeline from benchmarks to workload traces and projections. You will collaborate with HW architects and software teams to optimize scores and influence CPU design decisions.

We require 8–12 years in benchmarks, workload tracing, and performance analysis, with strong CPU architecture knowledge and hands-on PMU/QEMU experience.

Qualifications

• 8–12 years of experience in benchmarks, workload tracing and performance analysis.
• Strong understanding of CPU architecture (Arm/x86/RISC‑V) and SoC performance characteristics.
• Hands-on experience with workload characterization using PMU-based tools and instruction tracing with QEMU.

Responsibilities

• Workload characterization across benchmarks (SPEC CPU, Geekbench, etc.) across heterogeneous platforms.
• Instrument workloads to generate detailed traces for CPU models and performance simulators.
• Apply SimPoint-like methodologies to identify representative execution phases and reduce workload complexity.
• Define methodologies mapping workload metrics to benchmark scores and support architectural trade-offs.

Skills

Benchmarking

PMU tools

QEMU tracing

C/C++

Python scripting

Linux/Android development

Education

Bachelor's degree in Engineering or related field

Master's degree in Engineering or related field

PhD in Engineering or related field

Tools

QEMU

GCC/Clang

Perf tools

Job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

We are seeking a highly motivated and technically skilled CPU Workloads Tracing Engineer to join our CPU Performance team. You will own the performance pipeline from benchmark characterization, compiler/toolchain evaluation, optimized libraries, workload tracing and performance projections. This role combines deep expertise in benchmark characterization and analysis, compiler optimizations, library tuning, instrumentation, and workload tracing. You will work cross-functionally with HW architects, compiler, and software teams to optimize scores, model performance, and influence CPU design decisions.

Key Responsibilities:

• Workload Characterization

  Drive end-to-end workload characterization - selecting relevant benchmarks (SPEC CPU, Geekbench, Antutu etc) , porting them across heterogeneous platforms (x86, ARM64, etc.), and instrumenting workloads for detailed analysis, ensuring high-fidelity performance data across simulation, emulation, and silicon

• Workload Tracing

  Instrument benchmark workloads to generate execution traces that can be consumed by CPU models and performance simulation platforms.

• Workload Sampling

  Experience with workload analysis tools such as SimPoint for representative phase selection and workload reduction.

• Performance Score Projections

  Define and drive methodologies that map workload-level metrics from CPU models (ex : IPC) to benchmark scores (e.g., SPEC, Geekbench), supporting score projection, performance analysis, and architectural trade-off evaluation.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer , Electrical, Electronics Engineering or a related field.
• 8 - 12 years of experience in benchmarks, workload tracing and performance analysis.
• Strong understanding of CPU architecture (Arm, x86, or RISC-V) and SoC performance characteristics.
• Hands-on experience with workload characterization using PMU-based tools
• Hands-on experience with Instruction tracing using QEMU
• Hands-on experience with SimPoint methodology to identify representative execution phases and reduce workload complexity for efficient analysis and simulation.
• Proficiency in C/C++ and scripting (Python, shell).
• Experience with Linux, Android and Windows development environments (GCC, Clang, Android NDK, Microsoft Visual Studio etc) .
• Familiarity with Git for version control and collaborative development.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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