Staff Linux Software Engineer (Multiple Locations)

Technology, Data & Digital · Software & Web Development · Software Engineering

In short

Qualcomm Data Center seeks a Staff Software Engineer to lead Linux system software development for next-gen datacenters, focusing on host-side software and drivers for inference accelerators. Responsibilities include designing, implementing, and optimizing software, leading feature development, and providing technical leadership across teams.

Responsibilities

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.
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.
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.
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.

Requirements

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.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience, OR Master's degree and 3+ years of experience, OR PhD and 2+ years of experience.
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Desired Qualifications

Familiarity with virtualization and container technologies (KVM, Docker, SR-IOV).
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.
Linux kernel development experience.
Contributions to open-source kernel or confidential computing projects.

Benefits

Competitive annual discretionary bonus program.
Opportunity for annual RSU grants.
Highly competitive benefits package designed to support your success at work, at home, and at play.
Reasonable accommodations available for individuals with disabilities.

Skills

LinuxC++PythonCJavagitPCIe

#Linux#Software Engineering#Datacenter#System Software#Drivers#Inference Accelerators#C++#API Design#Multi-threading#Performance Optimization#Security#CI/CD#Debugging#Profiling#SoC Architecture#Git#Virtualization#Containerization#AI/ML