Engineer, Principal

Technology, Data & Digital · Software & Web Development · Software Engineering

In short

Qualcomm is seeking an experienced engineering leader to drive the architecture, development, and commercialization of next-generation Edge AI Appliance platforms. This role requires deep expertise in AI/ML systems, platform software, heterogeneous computing, and performance engineering to lead the complete product lifecycle and build high-performing engineering teams.

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.

Requirements

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.

Desired 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.

Skills

C++PythonLinuxPyTorchONNXvLLMTritonExecuTorchMLIR

#AI#ML#Edge Computing#Appliance#Platform Engineering#Hardware-Software Co-design#Generative AI#LLM#Performance Optimization#System Software#Linux#Containers#CI/CD#Distributed Systems#C++#Python