Responsibilities:
Apply AI/ML flows to enable intelligent stability analysis, predictive triage, and automated debugging.
Debug software and hardware stability issues across Host and Firmware layers.
Perform deep dives on memory dumps, log analysis, and code inspection.
Investigate cross-platform stability issues in kernel, user space, and firmware.
Design and develop tools and scripts for triage automation frameworks.
Collaborate with cross-functional teams to propose and drive solutions.
Drive cross-team initiatives and influence stability strategy to improve overall product quality.
Preferred Qualifications:
Bachelors or Masters degree in Computer Science, Computer Engineering, or Computer Architecture.
Applied proficiency in AI/ML flows for stability analysis and automation.
Strong foundation in RTOS, Embedded Systems Engineering concepts, and triage/debugging methodologies.
Proficiency in C, C++, Python, and familiarity with assembly-level languages.
Solid understanding of CPU architecture, compilers/linkers, and Linux drivers.
Ability to read and interpret hardware programming guides.
Experience with version control systems (Perforce/Git).
7-10 years of academic or industry experience in the following:
Computer Architecture
Real-Time Operating Systems (RTOS)
C, C++ programming
Familiarity with assembly-level languages for low-level debugging
Debugging Real-Time Embedded Systems using JTAG or equivalent
Compilers / Linkers understanding is a plus
Python scripting and automation
Ability to read and interpret hardware programming guides
Version control systems such as Perforce/Git
In-depth knowledge of WiFi, Bluetooth, and UWB protocol stacks
Familiarity with Qualcomm Hexagon DSP and Bus Architecture
Experience with Android OS for mobile platforms
Exposure to debugging tools, crash analysis, and stability triage frameworks
Background in AI/ML for automation and intelligent triage
Strong understanding of CPU architecture, Linux drivers, and cross-platform stability issues
Excellent problem-solving skills and ability to work collaboratively in a team environment