Embedded Software Stability Engineer, Staff

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. 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 in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Bachelor's or Master's 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 concepts, and triage/debugging methodologies Proficiency in C, C++, Python; 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) Real-Time Operating Systems (RTOS) and Embedded software development Debugging real-time systems using JTAG or equivalent Exposure to debugging tools, crash analysis, and stability triage frameworks Knowledge of WiFi, Bluetooth, and UWB protocol stacks (added advantage) Excellent problem-solving skills and ability to work collaboratively