דרושים » הנדסה » Principal Data Science Manager

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Silicon Design Verification Team Lead to lead verification for complex silicon subsystems that are part of advanced solutions delivered in Windows client products.

This is an opportunity for an excellent DV leader to combine people leadership with meaningful hands-on technical contribution. You will lead a silicon engineering team that includes design verification, silicon design, and physical design engineers, while serving as the technical anchor for the team's verification strategy, execution, and quality.

We are looking for a leader who is passionate about building excellent teams, driving rigorous execution, contributing hands-on to complex verification challenges, and continuously improving verification methodologies - including applying modern AI-assisted techniques to improve productivity, debug efficiency, and verification quality.


Responsibilities
Lead, grow, and mentor a silicon engineering team that includes design verification, silicon design, and physical design engineers, while fostering a culture of technical excellence, ownership, collaboration, and continuous learning.
Own and drive the verification strategy for complex silicon subsystems from planning through execution, closure, and emulation readiness.
Provide substantial hands-on technical contribution and leadership in verification planning, testbench architecture, debug, coverage analysis, regression quality, and verification closure.
Build and promote modern verification workflows, including AI-assisted techniques that improve verification environment development, automation, debug efficiency, coverage analysis, and execution quality.
Define verification plans, quality metrics, regression strategy, coverage goals, and emulation readiness plans aligned with project milestones.
Collaborate closely with architecture, design, system engineering, firmware, and physical design partners to identify risks early, resolve complex issues, and deliver high-quality silicon subsystems.

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Silicon Design Verification Team Lead to lead verification for complex silicon subsystems that are part of advanced solutions delivered in Windows client products.

This is an opportunity for an excellent DV leader to combine people leadership with meaningful hands-on technical contribution. You will lead a silicon engineering team that includes design verification, silicon design, and physical design engineers, while serving as the technical anchor for the team's verification strategy, execution, and quality.

The team works on complex security-oriented silicon subsystems that require rigorous pre-silicon verification and close collaboration with architecture, design, firmware, system engineering, and physical design partners to deliver robust silicon quality.

We are looking for a leader who is passionate about building excellent teams, driving rigorous execution, contributing hands-on to complex verification challenges, and continuously improving verification methodologies - including applying modern AI-assisted techniques to improve productivity, debug efficiency, and verification quality.

Responsibilities
Lead, grow, and mentor a silicon engineering team that includes design verification, silicon design, and physical design engineers, while fostering a culture of technical excellence, ownership, collaboration, and continuous learning.
Own and drive the verification strategy for complex silicon subsystems from planning through execution, closure, and emulation readiness.
Provide substantial hands-on technical contribution and leadership in verification planning, testbench architecture, debug, coverage analysis, regression quality, and verification closure.
Build and promote modern verification workflows, including AI-assisted techniques that improve verification environment development, automation, debug efficiency, coverage analysis, and execution quality.
Define verification plans, quality metrics, regression strategy, coverage goals, and emulation readiness plans aligned with project milestones.
Collaborate closely with architecture, design, system engineering, firmware, and physical design partners to identify risks early, resolve complex issues, and deliver high-quality silicon subsystems.

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

The WSSI (Windows Silicon System Integration) team is looking for a Senior Silicon Designer to help design complex silicon subsystems that are part of advanced solutions delivered in Windows client products.
This is an opportunity for an excellent silicon engineer to take meaningful technical ownership in a dynamic, agile, and highly collaborative environment. You will work on advanced subsystem design spanning microarchitecture, RTL implementation, integration, and design quality, with close collaboration across architecture, verification, firmware, system engineering, and physical design teams.
The role focuses on complex security-oriented silicon subsystems. We are looking for someone who combines strong design fundamentals with curiosity, ownership, and the motivation to learn and apply modern techniques - including AI-assisted workflows - to improve silicon development productivity and quality.


Responsibilities
Own and drive microarchitecture and RTL design for complex silicon blocks and subsystems, translating architecture and system requirements into clean, efficient, and high-quality hardware implementations.
Collaborate closely with verification, firmware, system engineering, architecture, and physical design partners to define interfaces, debug complex issues, manage technical risks, and deliver robust silicon solutions.
Contribute to subsystem integration, design reviews, quality checks, synthesis readiness, timing considerations, and design handoff flows.
Explore and apply modern silicon development workflows, including AI-assisted techniques for design productivity, debug, documentation, and quality improvements.
Act as a technical leader within the team by mentoring others, raising the engineering bar, and helping drive execution in a fast-moving environment.

The WSSI (Windows Silicon System Integration) team is looking for a Senior Silicon Designer to help design complex silicon subsystems that are part of advanced solutions delivered in Windows client products.
This is an opportunity for an excellent silicon engineer to take meaningful technical ownership in a dynamic, agile, and highly collaborative environment. You will work on advanced subsystem design spanning microarchitecture, RTL implementation, integration, and design quality, with close collaboration across architecture, verification, firmware, system engineering, and physical design teams.
The role focuses on complex security-oriented silicon subsystems. We are looking for someone who combines strong design fundamentals with curiosity, ownership, and the motivation to learn and apply modern techniques - including AI-assisted workflows - to improve silicon development productivity and quality.

Responsibilities
Own and drive microarchitecture and RTL design for complex silicon blocks and subsystems, translating architecture and system requirements into clean, efficient, and high-quality hardware implementations.
Collaborate closely with verification, firmware, system engineering, architecture, and physical design partners to define interfaces, debug complex issues, manage technical risks, and deliver robust silicon solutions.
Contribute to subsystem integration, design reviews, quality checks, synthesis readiness, timing considerations, and design handoff flows.
Explore and apply modern silicon development workflows, including AI-assisted techniques for design productivity, debug, documentation, and quality improvements.
Act as a technical leader within the team by mentoring others, raising the engineering bar, and helping drive execution in a fast-moving environment.