Engineer, Principal
Qualcomm · Posted Oct 13
Semiconductor, 5G wireless technology, mobile platform, and AI computing solutions
Get a personal compatibility score
Add a resume for personal matches
About the role
Qualcomm is building next-generation Edge AI Appliance platforms that bring high-performance, power-efficient AI inference to enterprise and edge environments. The team works across platform architecture, hardware/software co-design, AI workload enablement, system optimization, and production deployment of Qualcomm-based AI appliances. This principal engineering role leads the end-to-end architecture and engineering execution of those platforms, spanning AI inference runtimes, Linux system software, performance optimization, and customer deployment.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
- 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.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Qualcomm
Qualcomm is a global leader in the development and commercialization of foundational technologies for the wireless industry, including mobile processors, 5G, and on-device artificial intelligence. The company designs and markets digital communications products, semiconductor solutions, and system software used globally across smartphones, automotive solutions, IoT devices, and computing systems. Through extensive R&D and intellectual property licensing, Qualcomm powers a highly interconnected and smarter world.
- Industry
- Semiconductors
- Company size
- 50000+ employees
- Founded
- 1985
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Funding
Public Company · $53M raised
- 2018-11-01Grant
Leadership
President and Chief Executive Officer
Chief Financial Officer and Chief Operating Officer
James H. Thompson
Chief Technology Officer
Chief Marketing Officer
Ann Chaplin
General Counsel and Corporate Secretary
Recent coverage
Qualcomm News
Qualcomm Announces Long-Term Patent Cross-License Agreement with Transsion2026-10-16
Qualcomm News
Qualcomm Unveils AI-Native Broadband Innovations Across Fiber, Wi-Fi 8, Fixed Wireless, and Network Infrastructure and Security at Network X 20262026-10-12
Qualcomm News
Huawei and Qualcomm Announce Broad Patent License Agreement2026-10-04