Engineer, Principal

## Company: Qualcomm India Private Limited ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: ## Edge AI Appliance Engineering Lead ### Job Overview Qualcomm is building next-generation Edge AI Appliance platforms that bring high-performance, power-efficient AI inference to enterprise and edge environments. We are seeking an experienced engineering leader to drive the architecture, development, integration, and commercialization of Qualcomm-based Edge AI Appliances. This role spans the complete product lifecycle, from platform architecture and hardware/software co-design through AI workload enablement, system optimization, production readiness, and customer deployment. The ideal candidate combines deep expertise in AI/ML systems, platform software, heterogeneous computing, and performance engineering with a proven ability to build and lead high-performing engineering teams. ### Key Responsibilities * Own the end-to-end architecture and engineering execution of Qualcomm Edge AI Appliance platforms. * Lead hardware/software co-design across compute, AI acceleration, memory, storage, networking, security, and system software. * Drive enablement and optimization of Generative AI, LLM, multimodal, vision, speech, and traditional ML workloads. * Lead integration of AI frameworks, inference runtimes, compilers, and model-serving technologies such as PyTorch, ONNX, vLLM, Triton, ExecuTorch, and MLIR. * Optimize end-to-end system performance across latency, throughput, memory, power, thermal efficiency, and data movement. * Drive appliance platform capabilities including Linux, containers, system services, telemetry, observability, security, software updates, and lifecycle management. * Architect scalable solutions spanning single-appliance through distributed multi-node Edge AI deployments. * Establish robust software integration, CI/CD, validation, release, and production-readiness practices. * Partner with silicon, system architecture, AI software, security, product, and customer engineering teams to translate customer requirements into scalable platform capabilities. * Build and lead a high-performing multidisciplinary engineering organization while developing strong technical and architectural leadership across the team. ### Desired Skills & Experience * Strong experience building Edge, AI Infrastructure, Data Center, embedded, or appliance-class platforms. * Deep understanding of AI inference architectures, heterogeneous computing, and hardware/software co-optimization. * Experience with PyTorch and modern AI inference/runtime ecosystems. * Knowledge of LLM inference, graph compilers, MLIR, operator optimization, scheduling, and accelerator runtimes. * Strong understanding of Linux system software, networking, containers, security, and platform manageability. * Excellent C/C++ and Python skills with experience in profiling and performance optimization. * Experience scaling workloads across multiple accelerators, SoCs, or distributed systems. * Proven track record taking complex hardware/software platforms from architecture through commercial deployment. * Strong communication and cross-functional leadership skills. ### Qualifications * Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, AI/ML, or a related field. * 15+ years of software, systems, AI infrastructure, or platform engineering experience. * Significant experience leading technically complex engineering teams and programs. * Demonstrated ability to operate across silicon, systems, software, AI, product, and customer organizations. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. • 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Applicants: 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. 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