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.
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
Preferred/Desired Qualifications
Familiarity with virtualization and container technologies (KVM, Docker, SR‑IOV).
