Overview
Our mission in WSSI Windows Silicon and System Integration is to deliver the best silicon and OS platform for the new era of AI computing. We partner closely with our Independent Hardware Vendors IHV to enable new silicon and features, bringing out the best in Windows-based PCs.
In WSSI Compute Fundamentals, we are seeking a Software Engineer II to focus on GPU and AI workloads at all levels of the software stack, including hardware, firmware, drivers, the operating system, APIs, and applications. The engineer will optimize performance, power, and reliability in pursuit of a superior Windows PC experience for our customers and partners. This role is in the Artificial Intelligence AI and Graphics Processing Unit GPU Fundamentals product area and is expected to be on site at least three days per week.
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
- Deep dive into AI and GPU code and the operating system to analyze performance, power, and reliability fundamentals.
- Use internal and external tools to collect telemetry and logs, analyze bugs and bottlenecks, and determine next steps.
- Design, implement, and test feature and operating-system improvements in the latest Windows OS.
- Work with the local team and internal and external partners to plan and execute identified improvements.
- Build secure, scalable, and compliant code using AI, and review both human- and AI-generated code.
- Use agentic AI and processes to work faster, integrated into daily tools and process flows within WSSI.
- Contribute to architecture discussions and design documents, ensuring performance, reliability, accessibility, privacy, and compliance.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.- OR equivalent experience.
Preferred Qualifications
- 4+ years of technical engineering experience.
- Demonstrated proficiency in C/C++ and use of scripting languages, including, but not limited to PowerShell.
- Familiarity with benchmark usage, including 3DMark, Procyon AI, MLPerf, or similar tools, and performance analysis.
- Demonstrated knowledge of modern operating system and application analysis, including Windows, Linux, or equivalent environments.
- Experience with AI workloads, APIs, and application development, including ONNX, ONNX Runtime, AI models, AI/NPU hardware, or driver development.
- Knowledge of graphics processing unit APIs such as DirectX or Vulkan, and
