Principal Software Engineering Manager

Full Job Description

This role focuses on leading teams that design, build, validate and operate scalable software solutions in the areas of AI, silicon and software with laser-focus on establishing great Fundamentals. As a Principal Software Engineering Manager, focuses on people leadership, technical direction, and delivery outcomes across teams. Establish guardrails and best practices for responsible use of AI tools—ensuring correctness, security, privacy, and compliance. Improve test coverage and validation Lead, coach, and support a team of Software Engineers by providing clear expectations, regular feedback, and career guidance through one-on-one connections, mentoring, and performance discussions. Set and align technical direction and execution plans by partnering with Product Managers and cross-functional stakeholders to translate customer needs and business priorities into engineering plans. Support operational excellence and delivery consistency by reinforcing engineering fundamentals, planning practices, and coordinated response to incidents and live-site issues. Leverage customer feedback, telemetry, and product usage data to identify improvement opportunities, prioritize investments, and guide teams toward long-term Windows Fundamentals enhancements. Establish and reinforce engineering practices for design reviews, code reviews, testing, and continuous integration to support secure, maintainable, and scalable solutions. Provide technical guidance and escalation support by working with engineers on complex diagnostics using debugging tools, performance analysis, and code-level investigation, and representing the team in cross-organization discussions. Foster a customer-focused and inclusive team environment where engineers understand customer impact, collaborate across teams, and take shared ownership of outcomes that matter to customers. * Bachelor's degree in computer science or related technical field AND 12+ years in AI/ML software or systems engineering 4+ years of people management experience, including hiring and developing engineering teams Lead the design and delivery of internal tools that automate the measurement of accuracy degradation (e.g., drift in quantized INT4/INT8 models) and API-level performance overheads. Align engineering metrics with the Windows AI Foundry, DirectML, and ONNX Runtime specifications to ensure flawless execution providers. Establish regression tracking systems to evaluate how model updates alter API response latencies, memory footprint, and user-experience quality across Windows PC form factors. Strong technical background in systems, platform, on-device AI experiences with the ability to guide architecture and technical decisions. Strong familiarity with the Windows ML architecture, DirectML, and implementing Execution Providers (EPs) within ONNX Runtime Proven track record of working side-by-side with model training/fine-tuning teams and application-layer software engineers Familiarity with Windows architecture, OS fundamentals, and On Device AI concepts. Familiarity with scripting or automation to support operational efficiency and repeatable processes. These requirements include but are not limited to the following specialized security screenings:

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