Senior Integration Engineer - AI Accelerators

The company Ecosystems Engineering group is seeking a Senior Integration Engineer to bridge the gap between cutting-edge partner accelerator hardware and our companys open-source software stack. This is a highly technical, "hands-on" role for an engineer who thrives at the intersection of the Linux kernel, virtualization, and high-performance networking.
Rather than focusing purely on application logic, you will be responsible for hardware enablement and system-level integration. You will ensure that GPUs, DPUs, and other edge accelerators are seamlessly orchestrated within our company Enterprise Linux, our company OpenShift and Virtualization environments. If you are a "problem solver" who enjoys debugging the complex layers between a physical and a virtualized AI workloads, this role is for you.
What You Will Do
Assist with integration of partner accelerator hardware (GPUs, DPUs) into the company ecosystem, ensuring drivers, firmware, and orchestration layers work in harmony.
Build and optimize solutions using KVM, QEMU, and libvirt to ensure high-performance hardware pass-through and abstraction.
Design and implement robust networking paths using Advanced Software Defined Network (SDN) and Virtual Networking
Act as the technical bridge between hardware-level drivers and cloud-native platforms like Kubernetes and our company OpenShift.
Develop integration patterns and "well lit paths" for AI workloads, ensuring they meet strict performance and resiliency requirements.
Work closely with Product Engineering, Partners, and Customers to root-cause complex issues across the entire stack (Hardware → Kernel → Hypervisor → Container).
Create architectural blueprints and implementation guides for field engineers and lighthouse customers.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.