24 hours ago
Hyderābād, IndiaSenior
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 hardware configurations.
- Drive model bring-up and readiness for next-generation silicon platforms in collaboration with Microsoft and silicon partner engineering teams.
- Develop and maintain validation frameworks, automation infrastructure, performance-analysis tools, benchmarks, and automated quality gates.
- Analyze telemetry, traces, profiling data, and validation results to identify regressions, bottlenecks, and optimization opportunities.
- Drive root-cause analysis and resolution of model accuracy, compatibility, performance, and reliability issues.
- Collaborate with AI researchers, platform engineers, silicon partners, and product teams on deployment of new AI capabilities.
- Establish responsible AI-assisted engineering guardrails and best practices for correctness, security, privacy, and compliance.
- Mentor engineers and contribute to technical leadership through design reviews, best practices, and knowledge sharing.
Requirements
- 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 for complex software and system-level issues.
- Experience analyzing performance, telemetry, profiling, or diagnostic data.
- 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 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.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud background check.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.