The Meta Technical Program Management (TPM) community is pioneering technologies to bring people (and businesses) closer together at a global scale. TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a deep technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.

You will be leading technical strategy and execution on the company-wide platforms and services that are used across Facebook, WhatsApp, Instagram, Messenger, and Oculus. Teams span across Ads, Business Integrity, Monetization, Commerce, Business Messaging, Privacy, Social Impact, Central Integrity, Growth, Central Metrics, Internationalization, Facebook Home, Marketplace, Watch, Groups, Stories, Search, Product Foundation, Instagram and more. This posting represents different full-time roles across the company.
Technical Program Manager Responsibilities
Develop and manage end-to-end technical product solutions and ensure on-time delivery.
Manage cross-functional products and programs in a matrix organization.
Help define the roadmap and long-term strategy of the teams that you are working with.
Design measurements to track impact and drive internal process improvements.
Articulate the technology, requirements, goals and milestones of your team.
Collaboratively define the vision for building Meta-scale, state-of-the-art, global products.
Develop and manage end-to-end project plans to ensure on-time delivery, provide day-to-day coordination, and quality assurance for tasks.
Identify dependencies and develop mitigation strategies.
Move fast in a flat organization by working in concert with technical program managers and engineers across Meta to establish a shared vision for improving execution and build solutions for privacy and security at scale.
Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders.
Build bridges with product and infrastructure teams to discover adoption challenges, champion purpose use development and privacy/security product adoption.
Help drive product decisions to align with higher company initiative.
Bring a deep sense of execution and ownership to the team.
Establish shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for Meta.

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.

As a Chip Infrastructure Engineer, you will plan and execute work in an innovative and fast-paced environment, with a focus on infrastructure that enables design and verification teams to produce the chips that power Google's computing needs. You'll be part of the chip infrastructure team responsible for compute, storage, common chip design components, and front-end tool flows.

In this role, you will work with architects, logic designers, and verification engineers to develop flows to build and verify SoC chip designs. Youll also work closely with software, physical design, silicon bring-up and validation teams to enable a successful software integration, implementation, silicon bringup and deliver quality silicon.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongs available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a SoC Product Engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing and mission-mode operation. You will work to support the machinery that goes into our data centers affecting Google users.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities:
Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, DPPM reduction, Test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and System Level Test (SLT).
Drive interactions with wafer fabs and OSATs, own and drive checkpoints for key quality metrics.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and RMA handling.
Collaborate with cross-functional teams across the globe including ATE and SLT Test Engineering, Q&R, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.
Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including RMA support.

The Microsoft Threat Intelligence Center Israel (MSTICRnD) is at the forefront of cybersecurity, dedicated to protecting Microsoft and its customers from sophisticated nation-state attacks. Our team is composed of highly skilled professionals who are passionate about security and cloud technologies. We thrive in a dynamic, fast-paced environment where innovation and collaboration are key. Our mission is to build cutting-edge solutions that counter adversary-based threats through the dissemination of threat intelligence, proactive hunting, incident response, and the development of new methods to detect, investigate, and respond to attacks.

As a Data Engineer at MSTICRnD, you will play a pivotal role in managing and executing big data solutions and pipelines for our security data-driven products. Your work will ensure a seamless flow of information throughout the company, balancing backend data structure with frontend accessibility for end-users. You will collaborate closely with engineers, product managers, and security analysts to understand data needs, ensure data availability, and represent key data insights visually in meaningful ways. Your responsibilities will also include ownership of data privacy, security, compliance, and quality.



Why Join Us?
Impact: Make a significant impact by contributing to the protection of Microsoft and its customers.
Growth: Grow and develop your skills in a fascinating domain.
Environment: Work in a live, fast-paced environment with opportunities to learn and influence.
If you are passionate about delivering next-gen security services and excited about working in a dynamic and innovative environment, we invite you to join us for a great ride!


Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
ETL Pipelines: building and managing ETL (Extract, Transform, Load) pipelines.
Big Data Solutions: Design, implement, and manage big data pipelines to support security data-driven products.
Collaboration: Work with engineers, product managers, and security analysts to understand and address data needs.
Data Availability: Ensure the availability and accessibility of data across the organization.
Monitoring and Alerts: create monitoring and alert systems to ensure data integrity and system performance.
Data Visualization: Represent key data insights visually to provide meaningful information to end-users.
Data Privacy and Security: Maintain ownership of data privacy, security, compliance, and quality.

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.

As a Chip Infrastructure Engineer, you will plan and execute work in an innovative and fast-paced environment, with a focus on infrastructure that enables design and verification teams to produce the chips that power Google's computing needs. You'll be part of the chip infrastructure team responsible for compute, storage, common chip design components, and front-end tool flows.

In this role, you will work with architects, logic designers, and verification engineers to develop flows to build and verify SoC chip designs. Youll also work closely with software, physical design, silicon bring-up and validation teams to enable a successful software integration, implementation, silicon bringup and deliver quality silicon.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Work with partner teams to provide the compute, storage and methodology needs of the chip design, verification and physical design teams.
Collaborate with Application-Specific Integrated Circuit (ASIC) teams to implement tools and methodologies.
Design and implement CAD tools, solutions and methodologies for ASIC development.
Extend the capabilities of third-party tools through their dedicated APIs.
Provide documentation, training, and support to increase end user productivity.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a System on a Chip (SoC) Power Engineer in Google Cloud, you will be part of the server chip design team. Power related flows across the chip development end to end.

You will have the opportunity to impact the Google Cloud Infrastructure, combine the latest innovations in algorithms and integrate circuits to create CPU SoC solutions for Google Cloud. You will partner with hardware, software, and data center controls teams to provide silicon and technology roadmaps.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
Develop methodology of SoC roll up of power reduction, projection, configuration, test plan and tools.
Work intact with Architecture, Frontend and Backend teams driving power reduction features (both logic and circuit).
Support power delivery and packaging teams with simulations and scenario definitions.
Work intact with Architecture and DV to define power scenarios and tests, debug, and integrate into the flow.
Track power goals are met throughout execution.

gTechs Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

In this role, you will leverage Google Cloud's advanced infrastructure and Artificial Intelligence/Machine Learning (AI/ML) capabilities to architect, develop, and implement customized solutions that motivate business transformation. You will bridge the gap between technical possibilities and real-world business needs, helping clients optimize their advertising technology stack, automate workflows, and unlock data-motivated insights. You will enable clients to maximize their investment in Google's advertising platforms while building future-ready, scalable solutions.

Google creates products and services that make the world a better place, and gTechs role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

Responsibilities
Architect, develop, and deliver solutions leveraging Google's ecosystem, including Google Cloud and Google Artificial Intelligence (AI) capabilities, to maximize the potential of Google Ads and Google Marketing Platform products.
Work with Google's largest advertisers, agencies and partners, understand their tests, collect requirements, provide solutions to apply ad products and technologies to achieve their business goals.
Identify and solve client problems through effective project management and consultation on technical setup.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Contribute to CPU front-end designs, emphasizing micro-architecture and RTL design for next generation CPU.
Propose performance enhancing micro-architecture features with efficiency in mind. Work with architects and performance teams for trade-off studies.
Deliver designs that meet power, performance, and area (PPA) goals with production quality.
Interpret techniques into design constructs and languages in order to provide guidance to and participate in the performance modeling effort.

As a Senior Data Engineer at MSTICRnD, you will play a pivotal role in managing and executing big data solutions and pipelines for our security data-driven products. Your work will ensure a seamless flow of information throughout the company, balancing backend data structure with frontend accessibility for end-users. You will collaborate closely with engineers, product managers, and security analysts to understand data needs, ensure data availability, and represent key data insights visually in meaningful ways. Your responsibilities will also include ownership of data privacy, security, compliance, and quality.

Why Join Us?
Impact: Make a significant impact by contributing to the protection of Microsoft and its customers.
Growth: Grow and develop your skills in a fascinating domain.
Environment: Work in a live, fast-paced environment with opportunities to learn and influence.
If you are passionate about delivering next-gen security services and excited about working in a dynamic and innovative environment, we invite you to join us for a great ride!


Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
ETL Pipelines: building and managing ETL (Extract, Transform, Load) pipelines.
Big Data Solutions: Design, implement, and manage big data pipelines to support security data-driven products.
Collaboration: Work with engineers, product managers, and security analysts to understand and address data needs.
Data Availability: Ensure the availability and accessibility of data across the organization.
Monitoring and Alerts: create monitoring and alert systems to ensure data integrity and system performance.
Data Visualization: Represent key data insights visually to provide meaningful information to end-users.
Data Privacy and Security: Maintain ownership of data privacy, security, compliance, and quality.

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Be part of a team to verify complex digital design blocks at subsystem level or full chip level by fully understanding the design specification and interacting with design engineers to identify key verification scenarios.
Create and enhance constrained-random verification environments using UVM SystemVerilog or create complex multi core based C tests using reusable C test libs.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.