Group Engineer Manager - Windows ML Runtime & Tools at Microsoft

Department: Software Engineering

Compensation

$165,600 – $296,400/yr

Setup: On-site
Location: Redmond, Washington
Type: Full-time
Level: lead/mgmt
Posted: Sep 23, 2026

Description

Microsoft is hiring a Group Engineer Manager to lead Windows ML Runtime & Tools teams across Applied Science, Runtime, and MLIR. The role owns people, technical strategy, architecture, execution, security, privacy, performance, reliability, and delivery of compiler, runtime, graph-compilation, hardware-aware optimization, scheduling, memory orchestration, and secure execution capabilities across CPU, GPU, and NPU hardware. The manager will develop technical leaders, coordinate with Microsoft and silicon partners, resolve complex incidents, and translate platform vision into durable Windows platform capabilities. The role offers flexible work options, including partial remote work, and has a U.S. base pay range of USD $165,600-$296,400 per year, with higher ranges for the San Francisco Bay area and New York City metropolitan area.

Required Skills

C/C++/C#/Java/JavaScript/Python
MLIR
LLVM
ONNX Runtime
Graph optimization
Memory management
Scheduling
Performance analysis
People management
System architecture

Additional Information

Minimum Education: Bachelor's degree in Computer Science or a related technical field
Required Previous Experiences: 8+ years of technical engineering experience coding in C, C++, C#, Java, JavaScript, or Python
6+ years of people management experience
Preferred Qualifications: Master's degree in Computer Science or a related technical field
12+ years of technical engineering experience coding in C, C++, C#, Java, JavaScript, or Python
15+ years of technical engineering experience coding in C, C++, C#, Java, JavaScript, or Python
Deep experience with MLIR, LLVM, ONNX Runtime, or comparable compiler and runtime technologies
Experience leading research and engineering teams that move machine learning innovations into production and optimize workloads for CPU, GPU, NPU, or other heterogeneous hardware
Expertise in machine learning compiler design, graph optimization, memory management, scheduling, and performance analysis
Experience managing software engineers and developing high-performing technical teams
Experience leading architecture and delivery for machine learning research, developer tools, compilers, runtimes, machine learning infrastructure, systems software, or other performance-critical platform components
Experience driving complex technical initiatives and alignment across multiple engineering organizations

About Microsoft

Microsoft

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