Engineer, Principal

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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:

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 [email protected] 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).

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