BENGALURU · FULLTIME
Engineer/Senior Engineer- Ml Libraries/Arm
Qualcomm
Bengaluru · onsite · Posted 57d ago
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Undisclosed2–7 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Job Area Engineering Group, Engineering Group > Software Engineering
Role Details Location: Bangalore
Levels: Engineer / Senior Engineer / Staff / Principal Engineer
Role Overview We are building a high-impact team at the intersection of CPU architecture, machine learning workloads, and system-level performance optimization. This role focuses on CPU softwarehardware co-design for next-generation QMX architectures, including workload characterization, simulation, kernel optimization, and driving architectural insights for future CPU designs. The ideal candidate will work across the full stack from ML models to low-level kernels to architectural feedback enabling efficient execution of ML workloads on CPU platforms.
Key Responsibilities 1. ML Workload Identification Characterization - Identify and prioritize critical ML use cases and models for CPU-centric execution (LLMs, vision, speech, recommender systems, etc.)
- Analyze workload characteristics including:
- Compute intensity
- Memory bandwidth and cache behavior
- Parallelism and dataflow patterns
- Generate detailed execution traces for ML workloads using QEMU or equivalent simulators
- Develop tooling to:
- Capture instruction-level execution behavior
- Extract performance counters and bottlenecks
- Enable accurate modeling of workload behavior for architectural exploration
- Identify system bottlenecks across:
- CPU pipelines
- Memory hierarchy
- Instruction utilization
- Optimize critical hotspots through:
- Kernel-level tuning
- Algorithmic improvements
- Data layout and memory optimizations
- Drive measurable improvements in workload performance
- Collaborate with CPU architecture and design teams to:
- Provide data-driven insights from real workloads
- Identify inefficiencies and propose architectural enhancements
- Influence next-generation CPU features in:
- Compute units
- Vector/SIMD extensions (e.g., QMX)
- Memory subsystems
- Design and implement highly optimized ML kernels and libraries for QMX architecture
- Develop kernels for GEMM, convolution, attention
- Enable integration with:
- Open-source ML frameworks (e.g., PyTorch, ONNX, XNNPACK, MLAS)
- Apply advanced optimizations:
- SIMD/vectorization
- Cache-aware execution
- Parallel execution strategies
- Optimize CPU-centric ML benchmarks such as:
- Geekbench AI
- Internal benchmarking suites
- Establish performance baselines and track improvements across hardware generations
- Perform competitive analysis and performance positioning
- Strong background in:
- Computer Architecture / Systems Programming
- Machine Learning fundamentals
- Proficiency in:
- C/C++ (mandatory)
- Experience with:
- Performance profiling, benchmarking, and optimization
- Experience with:
- QEMU or equivalent simulators
- ML kernel development (GEMM, convolution, attention)
- Knowledge of:
- CPU architecture (pipelines, caching, SIMD/vector extensions such as NEON, SVE, QMX)
- Familiarity with:
- ML frameworks and inference stacks
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Section · 02
Skills
Kernel Developmentcomputer architecturecachingKernelCompetitive AnalysisCachedesign engineerDesign SystemscharacterizationEmbedded SystemscloudDigital TransformationJavaArchitectureHardware DesignArtificial IntelligenceMachine Learning
Section · Company
About Qualcomm
Qualcomm
Semiconductors
22k+
employees
1996
30 years old
San Diego,California
United States
About
Qualcomm invents breakthrough technologies that transform how the world connects, computes and communicates.
Industries
SemiconductorsHardware & Networking
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1,207 reviews
3.7/ 5
Culture
3.4
Career growth
3.2
Work-life
3.3
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