Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Software EngineeringGeneral 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. Minimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.Detailed JD:==========Job Description: CPU Software & Hardware Co-Design Engineer (ML Systems)Location: Bangalore (or relevant)Levels: Engineer / Senior Engineer / Staff / Principal EngineerRole OverviewWe 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 software–hardware 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 Responsibilities1. ML Workload Identification & CharacterizationIdentify and prioritize critical ML use cases and models for CPU-centric execution (LLMs, vision, speech, recommender systems, etc.)Analyze workload characteristics including:Compute intensityMemory bandwidth and cache behaviorParallelism and dataflow patterns2. Simulation & Trace GenerationGenerate detailed execution traces for ML workloads using QEMU or equivalent simulatorsDevelop tooling to:Capture instruction-level execution behaviorExtract performance counters and bottlenecksEnable accurate modeling of workload behavior for architectural exploration3. Bottleneck Analysis & Performance OptimizationIdentify system bottlenecks across:CPU pipelinesMemory hierarchyInstruction utilizationOptimize critical hotspots through:Kernel-level tuningAlgorithmic improvementsData layout and memory optimizationsDrive measurable improvements in workload performance4. Software–Hardware Co-DesignCollaborate with CPU architecture and design teams to:Provide data-driven insights from real workloadsIdentify inefficiencies and propose architectural enhancementsInfluence next-generation CPU features in:Compute unitsVector/SIMD extensions (e.g., QMX)Memory subsystems5. ML Kernel & Library Development (QMX Focus)Design and implement highly optimized ML kernels and libraries for QMX architectureDevelop kernels for:GEMM, convolution, attention, activation functions, etc.Enable integration with:Open-source ML frameworks (e.g., PyTorch, ONNX, XNNPACK, MLAS)Apply advanced optimizations:SIMD/vectorizationCache-aware executionParallel execution strategies6. Benchmarking & Performance EngineeringOptimize CPU-centric ML benchmarks such as:Geekbench AIInternal benchmarking suitesEstablish performance baselines and track improvements across hardware generationsPerform competitive analysis and performance positioningRequired QualificationsStrong background in:Computer Architecture / Systems ProgrammingMachine Learning fundamentalsProficiency in:C/C++ (mandatory)Experience with:Performance profiling, benchmarking, and optimizationPreferred QualificationsExperience with:QEMU or equivalent simulatorsML 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 stacksExperience with low-level optimization:Intrinsics, assembly, memory and cache tuningWhy Join This TeamWork on next-generation CPU architectures (QMX)Directly influence hardware design through real workload insightsSolve end-to-end ML performance challenges (model → kernel → silicon)Collaborate with top architecture, systems, and AI teamsHigh-impact role with visibility across product and research roadmapsApplicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers.