Senior Software Engineer

The Microsoft Windows & Devices (W+D) team is on a journey to deliver iconic experiences across hardware, software, and services that people love and use every day. A core part of the W+D strategy is delivering devices with excellent Fundamentals and delightful AI experiences that blend the power of the Edge with the scale of the cloud.

The Windows Silicon & System Integration (WSSI) team is driving the next generation of AI experiences on Windows. As AI workloads increasingly run on-device across CPU, GPU, and NPU architectures, ensuring consistent quality, accuracy, performance, power efficiency, and reliability across a diverse silicon ecosystem is critical.

We are looking for aSenior Software Engineer to join our AI Validation team. In this role, you will be responsible for validating emerging AI models and experiences on Windows devices, enabling support for new generations of silicon, and building the validation infrastructure that helps Microsoft deliver high-quality on-device AI experiences at scale.

The ideal candidate combines strong software engineering fundamentals with a passion for AI systems, performance analysis, automation, and solving complex cross-hardware challenges.

• Lead validation of on-device AI models and experiences across Windows platforms and silicon partners.
• Evaluate model accuracy, performance, power, scalability, and functional correctness across diverse hardware configurations.
• Drive bring-up and readiness of AI models on next-generation silicon platforms, working closely with Microsoft and silicon partner engineering teams.
• Develop, enhance, and maintain validation frameworks, automation infrastructure, and performance analysis tools to support evolving AI model architectures.
• Build solutions that enable efficient benchmarking and comparison of AI workloads across CPU, GPU, and NPU execution environments.
• Analyze telemetry, traces, and validation data to identify regressions, bottlenecks, and optimization opportunities.
• Collaborate with AI researchers, platform engineers, silicon partners, and product teams to ensure successful deployment of new AI capabilities on Windows.
• Design automated quality gates and validation methodologies that scale across models, hardware platforms, and operating system releases.
• Drive root-cause analysis and resolution of model accuracy, compatibility, performance, and reliability issues.
• Mentor engineers and contribute to technical leadership within the team through design reviews, best practices, and knowledge sharing.

AI‑Forward Engineering

• Champion AI‑assisted and agentic engineering workflows across the org; set standards and expectations so teams use AI to move fasterwithout compromising security or quality.
• Establish guardrails and best practices for responsible use of AI tools—ensuring correctness, security, privacy, and compliance.
• Encourage teams to use AI to:
• • Accelerate root‑cause analysis and debugging
  • Improve test coverage and validation
  • Reduce toil through automation and repeatable workflows
• Partner with AI‑forward initiatives across Windows to scale learnings, patterns, and reusable assets.

Required Qualifications:  

• • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
  • 8+ years of software engineering experience in systems, platform, validation, AI/ML infrastructure, performance engineering, or related domains.
  • Strong programming skills in C++, C#, Python, or related languages.
  • Experience developing automation frameworks, validation infrastructure, or large-scale test systems.
  • Strong debugging and problem-solving skills with the ability to diagnose complex software and system-level issues.
  • Experience analyzing performance, telemetry, profiling, or diagnostic data.
  • Ability to work independently and drive projects from concept to execution. 
  • Experience with AI/ML model validation, benchmarking, or deployment.
  • Familiarity with Windows AI, ONNX Runtime, DirectML, Windows ML, GenAI workloads, or model optimization techniques.
  • Experience working with CPU, GPU, or NPU architectures and hardware acceleration technologies.
  • Knowledge of performance, power, thermal, or scalability analysis methodologies.
  • Experience collaborating with silicon vendors or platform engineering teams.
  • Familiarity with model quality evaluation, benchmark development, and AI workload characterization.

Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: 

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more aboutrequesting accommodations.