Senior Software Engineer

Microsoft•Redmond, WA

About The Position

Imagine being at the center of shaping the future of Windows AI Agents—driving SOTA models, breakthrough infrastructure, and next-generation intelligence that will reach billions of users. The Windows AGI team is pioneering advanced AI experiences across the Windows ecosystem, and we’re looking for a Senior Software Engineer to help build the foundation that makes it all possible. In this role, you will architect and scale data and training pipelines, lead model quantization and performance optimization, and design systems that measure real user engagement at global scale. This opportunity is ideal for engineers who thrive on data and ML challenges and are very passionate about large-scale Agentic Windows Experiences. You’ll play a mission-critical role in ensuring our experiences are powered by high-quality, efficient models that solve real user problems in a secure, reliable way. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Nice To Haves

Possesses an understanding of LLM architectures, optimization techniques, and tradeoffs for multimodal tasks (e.g., image recognition, dynamic action models).
Hands-on experience with model optimization such as distillation, quantization, and performance tuning for on-device or resource-constrained environments.
Demonstrated ability to improve model efficiency in real-world agentic workflows.
Experience building native Windows applications or system integrations with a focus on latency, memory, and reliability.
Proficiency in data-driven development, including evaluation methodology and continuous model quality improvement.
Experience measuring & optimizing Computer User Agent action-planning models for both latency and accuracy.
Skilled in cross-team collaboration across large platform teams or OS-level environments.

Responsibilities

Applied AI Engineering for Session Success
Improve session success rate for Windows experiences through advanced LLM architecture understanding, optimization, and tradeoff analysis.
Perform ongoing quality tuning and AI feature optimization to improve reliability and user outcomes.
On-Device Performance Optimization
Lead cold-start optimization, silicon-aware tuning, model distillation, and quantization for on-device AI models.
Distill large models (e.g., ~300M-scale models) to reduce dynamic action latency to sub second.
Drive continuous improvement through strong data collection, evaluation design, and iterative quality flywheels.
Agile Delivery for Native Windows Experiences
Build and integrate native Windows applications and AI-driven features within Windows system components.
Deliver low-latency, memory-efficient, and highly reliable user experiences across Windows surfaces.
Collaborate across teams while navigating Windows compliance, system constraints, and productization requirements at scale.