#Systems SoC Test Engineer

Qualcomm•San Diego, CA

9d•$89,000 - $133,600

About The Position

We are seeking a Systems Software SoC Test Engineer to develop, deploy, and automate cross-platform system validation solutions for Snapdragon SoCs, ensuring stable, reliable, and high-performance operation across critical subsystems including CPU, Graphics, Audio, Video, Storage, Display, Connectivity, Peripherals, Memory, Interconnects, and AI accelerators. The ideal candidate has a strong foundation in computer science, software development, and system-level debugging, with proficiency in C/C++. This role combines software engineering, automation, validation, and root-cause analysis to ensure high-quality platform releases across Android, Linux, Windows, QNX, and Qualcomm Hexagon DSP environments. Working within a system test engineering team, you will define validation strategies, develop scalable automation frameworks, expand test coverage, and validate new hardware and software features from early silicon bring-up through production readiness. You will also help drive quality across software, firmware, and AI SDK ecosystems while enabling robust validation across multiple Snapdragon platforms.

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Strong programming fundamentals, data structures, and algorithms.
Proficiency in C/C++ development and debugging.
Experience in software validation, test engineering, embedded systems, or related areas.
Strong programming skills in C/C++.
Experience with embedded systems, DSP SDKs, or system software development.
Ability to debug software issues using debuggers, memory analysis tools, and system diagnostics.
Debug System issues : Thermal excursions, Power state problems, CPU Latency issues, ARM ISA familiarity
Experience working in Linux environments, including kernel debugging and system-level development.
Familiarity with Android, Windows, QNX, or similar operating systems.
Experience with scripting and automation using Python, Shell/Bash, or PowerShell.
Understanding of computer architecture, operating systems, and hardware-software interactions.
Critical thinking and methodical analytical and problem-solving abilities across complex SoC subsystems or embedded systems
Excellent communication and collaboration across time zones with inter-departmental teams (Design teams, Development teams, SOC Leads)
Ability to learn quickly and thrive in a fast-paced engineering environment.
Self-motivated with a passion for system-level technology and product quality.
Periodic updates through presentation and dashboard reporting to senior technical audience is needed.

Nice To Haves

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
Exceptional new graduates with relevant internship or project experience from the tech sector are encouraged to apply.
Public GitHub projects demonstrating embedded software, DSP, systems programming, or automation development.
Experience with Qualcomm Hexagon DSP, AI Direct SDK, Vulkan, OpenCL, or embedded ARM-based platforms.
Experience building large-scale automated validation environments.
Familiarity with performance profiling, telemetry collection, and system test analytics.
Knowledge of AI/ML workloads, edge AI deployment, or accelerator validation.

Responsibilities

Validate system functionality, performance, reliability, and robustness across mobile, PC, and automotive platforms.
Design, develop, and execute end-to-end validation solutions for critical SoC subsystems including DDR, CPU, PCIe, Storage, NoCs, Power Management, Clocking, GPU, Video, Audio, and AI/DSP processors.
Develop and execute AI model integration and validation tests using Qualcomm Hexagon and AI Direct SDKs.
Support early silicon bring-up, platform enablement, and full system validation on target hardware.
Verify system correctness, performance, low-power operation, reliability, and bit-exact behavior across hardware and software stacks.
Evaluate system stability through stress, endurance, performance, and reliability testing.
Define, expand, and track test coverage across features, subsystems, and platforms.
Identify validation gaps and develop new test scenarios to improve product quality.
Monitor test metrics, regression trends, pass rates, and quality indicators.
Ensure comprehensive logging and diagnostic data collection across Android, Linux, Windows, and QNX environments.
Perform root-cause analysis of issues reported by customers, OEMs, and internal teams, spanning BSP through HLOS software layers.
Design and develop scalable cross-platform automation frameworks primarily in C/C++.
Build automation capable of supporting large-scale device farms with robust recovery, monitoring, and analytics capabilities.
Improve validation efficiency through reusable tools, automation best practices, and continuous integration workflows.
Develop supporting automation using Python, Shell/Bash, and PowerShell where appropriate.
Analyze logs, traces, crash dumps, and system telemetry to identify root causes.
Debug software, firmware, and hardware-related issues affecting platform stability.
Investigate power, thermal, performance, memory, and system-level failures.
Collaborate with hardware, firmware, driver, and software teams to drive issue resolution.