Senior Embedded Software Engineer- Windows

Position Summary

Sapphire Stream Technology is seeking a skilled Engineer with strong systems-level debugging and problem-solving capabilities. This role will focus on resolving issues within Neural Processing Unit (NPU) software programs, enabling new platform-level features, and developing scalable engineering solutions using AI-assisted tools and automation.

Key Responsibilities

• Develop, maintain, debug, and optimize Windows device drivers and systems-level software.

• Investigate and resolve bugs affecting NPU programs, drivers, firmware interfaces, and platform components.

• Support the enablement, integration, and validation of new platform-level features.

• Perform root-cause analysis of complex issues involving hardware, drivers, operating systems, and applications.

• Analyze crash dumps, logs, traces, performance data, and system behavior to identify software defects and integration issues.

• Work closely with hardware, firmware, operating-system, validation, and application teams to resolve cross-functional technical problems.

• Develop scalable debugging, testing, and issue-triage solutions using AI, automation, and data-analysis tools.

• Improve diagnostic utilities, test frameworks, scripts, and engineering workflows.

• Create technical documentation covering design decisions, debugging findings, resolutions, and feature-enablement procedures.

• Participate in code reviews, design reviews, defect triage, and release-readiness activities.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.

• Experience developing or debugging Windows device drivers or systems-level software.

• Strong programming skills in C and C++.

• Strong understanding of Windows architecture, kernel-mode development, memory management, interrupts, synchronization, and hardware/software interfaces.

• Experience with Windows Driver Kit, Visual Studio, WinDbg, crash-dump analysis, ETW, or similar diagnostic tools.

• Demonstrated ability to perform complex system debugging and root-cause analysis.

• Experience troubleshooting issues across drivers, firmware, hardware, operating systems, and applications.

• Ability to design scalable solutions instead of applying only issue-specific fixes.

• Familiarity with scripting or automation using Python, PowerShell, or similar languages.

• Strong written and verbal communication skills.

Preferred Qualifications

• Experience working with NPUs, GPUs, AI accelerators, machine-learning platforms, or other specialized computing hardware.

• Experience enabling new features on Windows-based hardware platforms.

• Knowledge of PCIe, ACPI, power management, DMA, memory-mapped I/O, or related platform technologies.

• Experience with Windows Hardware Lab Kit testing, driver certification, or release validation.

• Familiarity with AI-assisted debugging, log analysis, defect classification, code generation, or automated root-cause analysis.

• Experience in semiconductor, embedded-systems, automotive, or high-performance computing environments.

Success in This Role

The successful candidate will be able to independently investigate complex platform issues, identify their root causes, implement reliable fixes, and develop reusable AI-assisted solutions that improve debugging and feature-enablement efficiency across multiple programs and platforms.