Drimva

Intel

Systems and Solutions Engineer

$122K–$173K

US, Oregon, Hillsboro +1 · Full-time · Posted Sep 24, 2026

Location
US, Oregon, Hillsboro
US, California, Santa Clara
Experience
4+ years of combined experience in the listed areas.
Education
Bachelor's or master's in electrical or computer engineering, computer science or related field.
Visa sponsorship
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About the job

Enables and supports customized IPU-based solutions for major cloud customers, from system integration and performance optimization to customer-focused debugging and verification.

What you'll do

  • Build proofs of concept, understand customer requirements, and coordinate feature requests and solution enablement.
  • Support customers with technical guidance, performance analysis, presentations, and workshops.
  • Contribute across the IPU lifecycle, including platform bring-up, configuration, testing, debugging, and verification across hardware, firmware, and software.

What they ask for

  • Bachelor's or master's degree in electrical or computer engineering, computer science, or a related field.
  • 4+ years of combined experience in networking fundamentals, system software stacks and hardware-software interactions, and customer-facing systems engineering and debug.
  • Strong verbal and written communication skills, ability to work independently across diverse stakeholders, and ability to manage priorities.

Nice to have

  • Knowledge of Ethernet products and ecosystems, cloud service providers, data center workloads, RDMA, collectives, and AI benchmarking.
  • NIC stack experience or familiarity with tools such as GCC, Git, GitHub, RPM, Make files, Shell Scripting, Docker, and Jenkins.

Pay

$122,440.00-172,860.00 USD (target compensation; salary range)

Tools

IPUs, NICs, Linux kernel, GCC, Git, GitHub, Docker, Jenkins

AI focus

Supports AI infrastructure and AI workloads, including helping customers understand performance characteristics and familiarity with AI benchmarking.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)