Staff Software Engineer – Host & Secure Compute Software

Staff Software Engineer – Host & Secure Compute Software 

General Summary:
Our Cloud Edge in Cork is seeking a Staff Software Engineer to lead development of Linux-based system software for next?generation data center and secure compute platforms. This role focuses on host-side software, drivers, and system integration for our high?performance inference accelerators and secure compute solutions.
As a Staff Engineer, you will own complex subsystems end?to?end, drive architectural decisions, and provide technical leadership across software, hardware, and platform teams. Your work will span driver development, test infrastructure, performance optimization, security enablement, and product commercialization, with a strong emphasis on robust, production?ready system software.
Key Responsibilities
Host & System Software Development

• Design, implement, and optimize Linux user?space and kernel?adjacent drivers and libraries in modern C++.
• Lead development of host software stacks supporting high?performance AI inference and secure compute workloads.
• Drive API design, multi?threaded systems, and scalable software architectures.
• Own feature development, integration, and bring?up across hardware and software boundaries.

Testing, Quality & CI

• Architect and develop unit, integration, and system?level tests for CI environments.
• Lead functional and performance validation of host software and drivers.
• Establish best practices for testability, automation, and long?term maintainability.

Secure Compute & Virtualization (Differentiating Scope)

• Integrate host software with Trusted Execution Environments (TEEs) including Secure VMs (CVM) and Software?Isolated VMs (SIVM).
• Enable secure PCIe device assignment, SR?IOV, and container/VM?based workloads.
• Implement and support device attestation, lifecycle management, and secure interface configuration.
• Collaborate on PCIe firewall, memory protection, and register isolation features.

Performance, Debug & Bring?Up

• Debug complex host?side issues including boot flows, PCIe link behavior, log transfer, and overflow handling.
• Optimize host software for AI inference performance and low?latency workloads.
• Use advanced debugging, tracing, and profiling tools on Linux platforms.

Technical Leadership & Collaboration

• Provide technical leadership across mixed hardware/software teams.
• Drive design reviews, influence system architecture, and mentor senior engineers.
• Work closely with hardware, firmware, hypervisor, security, and cloud teams to deliver end?to?end solutions.
• Support customer deployments and resolve complex system?level issues.

Required Skills and Experience

• Extensive experience with Linux system software development in modern C/C++.
• Strong background in Linux user?space development, API design, and multi?threading / synchronization.
• Solid understanding of Linux internals, kernel concepts, drivers, and system bring?up.
• Experience with UML, OO design, and large?scale software architecture.
• Strong knowledge of SoC architecture (cores, caches, memory hierarchy, interconnects, I/O).
• Experience with source code and configuration management (git required).
• Proven ability to work at low?level implementation detail while maintaining system?level perspective.
• Excellent written and verbal English communication skills.
• Comfortable operating in a high?caliber, cross?disciplinary engineering environment.

Staff?Level Expectations

• Typically 6+ years of relevant industry experience in system or platform software.
• Demonstrated ownership of complex subsystems across multiple releases.
• Ability to set technical direction, not just execute tasks.
• Track record of influencing architecture, quality, and engineering standards.

Desirable / Stand?Out Skills
These are not strictly required, but will significantly differentiate candidates:

• Experience with secure compute, confidential computing, or TEEs.
• Familiarity with virtualization and container technologies (KVM, Docker, SR?IOV).
• Knowledge of cryptographic protocols, device security, and attestation mechanisms.
• Experience optimizing AI/ML inference workloads on system software stacks.
• Proficiency in Python for tooling, testing, or automation.
• Experience with C/C++ unit testing frameworks (e.g., gtest).
• Exposure to cloud technologies, middleware, and protocols.
• Working knowledge of PCIe 3.0+.
• Linux system administration experience.
• Contributions to open?source kernel or confidential computing projects.