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Senior Software Engineer

Microsoft· Software Engineering
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India, Telangana, HyderabadPosted 3w ago

About the role

Senior Software Engineer in the Windows Silicon & System Integration AI Validation team responsible for validating on-device AI models and experiences on Windows across CPU, GPU, and NPU architectures, developing validation infrastructure, and enabling support for next-generation silicon.

Responsibilities

  • 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.

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.

Skills

Required:Programming (C++, C#, Python)Automation frameworksPerformance analysisOn-device AI validation
Last updated Oct 1, 2026. Interested? Apply on the company site.

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