Senior AI Platform Engineer: Scale AI Pipelines & Edge

Qualcomm; San Diego (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Qualcomm seeks a Sr. Engineer, AI Platforms to design, build, and optimize large-scale AI platforms that power next-generation wireless, 5G, and connected devices.

You will architect end-to-end AI/ML pipelines, integrate models into Qualcomm chipsets and cloud/edge environments, and ensure high performance, reliability, and security. Partner with silicon, software, and product teams to deliver scalable inference services, tools, and SDKs with a strong emphasis on MLOps automation and monitoring

Qualifications

• Design and optimize large-scale AI platforms powering wireless, 5G, and connected devices.
• Architect end-to-end AI/ML pipelines and integrate models into chipsets and cloud/edge environments.
• Improve performance, reliability, and security while driving MLOps automation.
• Collaborate with silicon, software, and product teams to deliver scalable inference tools and SDKs.

Responsibilities

• Deploy models and tune performance on heterogeneous hardware.
• Develop and maintain AI platforms and inference services.
• Contribute to technical strategy in a fast-paced, innovation-driven culture.

Job description

Qualcomm seeks a Sr. Engineer, AI Platforms to design, build, and optimize large-scale AI platforms that power next-generation wireless, 5G, and connected devices.

You will architect end-to-end AI/ML pipelines, integrate models into Qualcomm chipsets and cloud/edge environments, and ensure high performance, reliability, and security. Partner with silicon, software, and product teams to deliver scalable inference services, tools, and SDKs with a strong emphasis on MLOps automation and monitoring