IPU Solutions Engineer - Customer-Facing Networking

Intel; Santa Clara (CA); On-site; USD 122,000 - 173,000; Full time

Job summary

Intel is seeking an Experienced Hardware/Software Engineer in the Networking Solutions Group to advance programmable IPUs for next-gen data center workloads. You will collaborate with cloud providers and internal teams to deliver IPU-based solutions, manage feature requests, enable solutions, and debug complex issues.

Responsibilities span board bring-up, kernel configurations, driver interactions, and performance tuning, with a focus on security, virtualization, and AI workloads.

Qualifications

• Bachelor's degree or master's in electrical or computer engineering, computer science or related field.

Responsibilities

• Gain our customers' trust, understand their needs, and build POCs to meet them.
• Be the go-to technical resource for customers building complex Datacenters, AI infrastructure; help them understand performance characteristics.
• Prepare and deliver technical content to customers including presentations, workshops, etc.
• Contribute across the IPU lifecycle: board/platform bring up, low-level device initialization, OS driver and kernel configuration, system management, feature enablement, use-case testing, debugging and verification.
• Define systems implementation and integration solutions to ensure optimum performance and reliability across hardware, firmware and software with network, storage and AI workloads.

Skills

Strong communication

Education

Bachelor's or master's in electrical or computer engineering, computer science or related field

Tools

GCC

Git

GitHub

RPM

Makefiles

Shell scripting

Docker

Jenkins

Job description

Intel is seeking an Experienced Hardware/Software Engineer in the Networking Solutions Group to advance programmable IPUs for next-gen data center workloads. You will collaborate with cloud providers and internal teams to deliver IPU-based solutions, manage feature requests, enable solutions, and debug complex issues.

Responsibilities span board bring-up, kernel configurations, driver interactions, and performance tuning, with a focus on security, virtualization, and AI workloads.