Staff Linux Software Engineer: AI Inference System Drivers

Nutanix; San Diego (CA); On-site; USD 135,000 - 202,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego is seeking a Staff Software Engineer to lead development of Linux-based system software for next‑generation datacenter.

This role focuses on host-side software, drivers, and system integration for Qualcomm’s high‑performance inference accelerators. You will own complex subsystems end‑to‑end, drive architectural decisions, and provide technical leadership across software, hardware, and platform teams.

Qualifications

• Bachelor's degree with 4+ years of software engineering experience.
• Master's degree with 3+ years of software engineering experience.
• PhD with 2+ years of software engineering experience.
• 2+ years with C, C++, Java, Python, etc.

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.

Skills

Linux kernel development

C/C++ programming

Linux user-space development

API design

Multithreading

Performance optimization

Debugging and profiling

English communication

Education

Bachelor's degree in Engineering/CS

Master's degree in Engineering/CS

PhD in Engineering/CS

Tools

Git

CI/CD

gtest

Python scripting

Docker

Job description

Qualcomm Technologies, Inc. in San Diego is seeking a Staff Software Engineer to lead development of Linux-based system software for next‑generation datacenter.

This role focuses on host-side software, drivers, and system integration for Qualcomm’s high‑performance inference accelerators. You will own complex subsystems end‑to‑end, drive architectural decisions, and provide technical leadership across software, hardware, and platform teams.