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What you'll be doing
Inventory Management: Youll manage the entire lifecycle of rider gear, including ordering, receiving, storing, and distributing items like helmets, bags, jackets, and other essential equipment. Youll also conduct regular inventory audits to maintain accurate stock levels and prevent shortages.
Logistics & Distribution: Youll be the primary point of contact for distributing gear to our fleet of riders. This includes coordinating shipments, managing pickup schedules, and ensuring that all gear is delivered on time and in good condition. Youll also handle returns and exchanges.
Data & Reporting: Youll track gear usage and inventory metrics, using data to identify trends, forecast future needs, and optimize our logistics processes. Youll also provide regular reports to management on inventory levels, distribution costs, and operational efficiency.
Process Improvement: Youll continuously look for ways to improve our gear management and logistics workflows. This includes finding more efficient ways to store and distribute gear, reducing waste, and implementing new technologies to streamline operations.
Communication & Support: Youll address any gear-related issues or requests from riders. Your goal is to provide exceptional support and ensure our couriers have the tools they need to succeed.

What you'll be doing
Inventory Management: Youll manage the entire lifecycle of rider gear, including ordering, receiving, storing, and distributing items like helmets, bags, jackets, and other essential equipment. Youll also conduct regular inventory audits to maintain accurate stock levels and prevent shortages.
Logistics & Distribution: Youll be the primary point of contact for distributing gear to our fleet of riders. This includes coordinating shipments, managing pickup schedules, and ensuring that all gear is delivered on time and in good condition. Youll also handle returns and exchanges.
Data & Reporting: Youll track gear usage and inventory metrics, using data to identify trends, forecast future needs, and optimize our logistics processes. Youll also provide regular reports to management on inventory levels, distribution costs, and operational efficiency.
Process Improvement: Youll continuously look for ways to improve our gear management and logistics workflows. This includes finding more efficient ways to store and distribute gear, reducing waste, and implementing new technologies to streamline operations.
Communication & Support: Youll address any gear-related issues or requests from riders. Your goal is to provide exceptional support and ensure our couriers have the tools they need to succeed.

What youll be doing
In this role, youll work at the intersection of Sales, Account Management, Merchants, and internal systems, supporting both the commercial flow and the ongoing operation of the company Benefits product.
Day-to-day in this role youll:
Support Sales and Account Managers throughout the company Benefits commercial process, including CRM workflows, contract documentation, KYD-related steps, and operational follow-ups.
Act as the go-to operational contact for sales teams, helping resolve issues and ensure smooth progression from deal to live product.
Own the operational maintenance of the company Benefits offering, ensuring participating merchants and benefits are accurately reflected and updated in internal systems.
Coordinate communication with restaurants and retail partners regarding operational updates to the Benefits offering, without sales or acquisition responsibilities.
Monitor changes in the Benefits merchant pool and ensure timely updates across systems and documentation.
Centralise and professionalise operational tasks currently handled across sales and account teams, such as system updates, billing-related processes, reporting, and Excel-based tracking.
Work closely with stakeholders to identify operational gaps, improve workflows, and help scale the product as adoption grows.

We are seeking a highly skilled and experienced Windows Internals Team Leader to lead a specialized attack team focused on developing offensive, production-ready attack capabilities. This is a research and development (R&D) role at the core of our offensive security efforts. You will be responsible for architecting and delivering advanced low-level attack components used in evasion techniques, red team tooling, and adversary simulations.

You will be hands-on in both leadership and development, guiding technical direction, mentoring engineers, and contributing code across kernel-mode and user-mode components.

The Impact You Will Have

Lead the design, development, and deployment of production-grade offensive capabilities targeting Windows systems
Develop low-level Windows components including kernel-mode code, user-mode loaders, and OS-level evasion mechanisms
Implement Python bindings to connect native low-level components with Python-based research tools and automation
Debug complex issues in both kernel and user space using tools such as WinDBG and KD
Research and develop bypass techniques for modern Windows security controls
Collaborate with the Research Team and other R&D stakeholders to implement and refine offensive concepts
Provide technical mentorship and drive engineering best practices within the team

Required Data Engineer, Product Analytics
As a Data Engineer, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining us, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback.

Required Data Engineer, Product Analytics
As a Data Engineer, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining us, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback.

about the job
our company'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 our company's standards of quality and reliability.
the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
design, develop, and maintain cad tools and scripts to automate and streamline design tasks, verification processes, and data analysis.
administer and optimize the Front-End compute environment, ensuring reliability, performance, and scalability.
provide Technical Support and training to design and verification teams on the use of cad tools, scripts, and the compute environment.
identify opportunities to enhance Front-End development workflows, implement improvements, and document best practices.
work closely with design, verification, and cad teams to understand their needs, gather requirements, and deliver effective solutions.

be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 our designs, implements, and manages the hardware, software, Machine Learning, and systems infrastructure for all our services (search, youtube, etc.) and our cloud. our end users are , cloud customers and the billions of people who use our 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 our clouds vertex ai, the leading ai platform for bringing gemini models to enterprise customers.
responsibilities
utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
design and build tests to verify that the SOC design meets those goals.
develop and implement advanced technologies for running benchmark representations on pre-silicon environments.
analyze complex problems, identify core design weaknesses, and drive the resolution of performance issues in both pre- and post-silicon environments.
develop performance measurement frameworks, including key performance indicators (kpis), to produce regular reports and dashboards that support stakeholder decision-making.

about the job
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 ai and infrastructure team is redefining whats possible. we empower google customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include googlers, google cloud customers, and billions of google users worldwide. we're the driving force behind google's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for google cloud, google global networking, data center operations, systems research, and much more.
responsibilities
lead an asic subsystem and understand how it interacts with software and other asic subsystems to implement groundbreaking data center networks.
define high-performance hardware/software interfaces. write micro architecture and design specifications.
define efficient micro-architecture and block partitioning/interfaces and flows.
implement designs in systemverilog.
collaborate with software, verification, and physical design stakeholders to ensure the designs are complete and correct.

be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 design team manager within the server chip design team, you will use your asic design experience to be part of a team that creates the SOC vlsi design cycle from start to finish. you will collaborate closely with design and Verification engineers in active projects, creating architecture definitions with rtl coding, and running block level simulations.in this role, you will oversee the intellectual property (ip) and SOC vlsi design cycle from architecture to production. you will own and manage ip, subsystems and SOC development, leading a group of designers and design tech leads. you will be responsible for mentoring and developing team members and tech leads, driving improvements in leadership, technical execution, and design flows.the ai and infrastructure team is redefining whats possible. we empower our customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include , cloud customers, and billions of our users worldwide. we're the driving team behind our groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our cloud, global networking, data center operations, systems research, and much more.
responsibilities
manage a team of tech leads and designers. develop and mentor team members, and communicate and co-work with multi-disciplined and multi-site teams.
lead design activities at ips, subsystems, and system -on-chips (socs).
plan, execute, track progress, assure quality, and report status of the assigned activity.
work closely with internal customers and support multiple activities and deliverables.
assure and manage deliverables quality at all rtl design categories including reviews, static checks, design for physical design, power, etc.

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
perform register-transfer level (rtl) coding (coding and debug in verilog, systemverilog), function/performance simulation debug, and lint/cdc/fv/upf checks.
participate in synthesis, timing/power closure activities.
participate in TEST plan and coverage analysis of the block and SOC -level verification.
communicate and work with multi-disciplined and multi-site teams.

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 the design for TEST (dft) engineer lead, you will play a crucial role in dft architecture and dft design, and support devices to production. you will be responsible for providing technical leadership in dft, developing flows, automation, and methodology, planning dft activities, tracking the dft quality throughout the project life-cycle, and providing sign-off dft to tapeout.the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
lead and execute dft activities in the design, implementation, and verification solutions for application-specific integrated circuits (asic).
develop dft strategy and architecture, including hierarchical dft, memory built-in self TEST (mbist), and automatic TEST pattern generation (atpg).
work with other engineering teams (e.g., design, verification, physical design) to ensure that dft requirements are met and mutual dependencies are managed.
manage a dft team planning, deliverables, and provide technical mentoring and guidance.
lead dft execution of a silicon project, planning, execution, tracking, quality, and signoff.

in this role, you will work as part of a research and development team. you will build verification components, constrained-random testing, system testing, and verification closure. you will verify digital designs, collaborate with design and Verification engineers on projects, and perform direct verification. you will build constrained-random verification environments that exercise designs through their corner cases and expose all types of bugs. you will manage the full lifecycle of verification which can range from verification planning, TEST execution, or collecting and closing coverage.the ai and infrastructure team is redefining whats possible. we empower google customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include googlers, google cloud customers, and billions of google users worldwide. we're the driving force behind google's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for google cloud, google global networking, data center operations, systems research, and much more.
responsibilities
plan the verification of digital design blocks by understanding the design specification and interacting with design engineers to identify important verification scenarios.
create and enhance constrained-random verification environments using systemverilog or formally verify designs with strategic value add (sva) and industry-leading formal tools.
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.

in this role, youll work to shape the future of ai/ml hardware acceleration. you will have an opportunity to drive tpu (tensor processing unit) technology that powers our most demanding ai/ml applications. youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our tpu. you'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on tpu architecture and its integration within ai/ml-driven systems.
our silicon team is driving the future of cloud data center computing. as a system on chip input output ( SOC io) architect, you will help define a new generation of our products. you will have pivotal responsibilities and serve as the organization mobile industry processor interface (mipi) focal point.the ai and infrastructure team is redefining whats possible. we empower our customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include, cloud customers, and billions of our users worldwide. we're the driving team behind our groundbreaking innovations, empowering the development of our ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our cloud, global networking, data center operations, systems research, and much more.
responsibilities
evaluate different silicon solutions for executing mipi and other io peripheries: off-the-shelf components, vendor co-developments and custom designs.
drive vendor execution in various engagements: standard component, build to specification, and co-developments.
collaborate closely with software, design, verification, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.
create high performance hardware/software interfaces.
collaborate in developing a new SOC.

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 as part of a research and development team. you will build verification components, constrained-random testing, system testing, and drive verification closure. you will verify digital designs, collaborate closely with design and Verification engineers on projects, and perform direct verification. you will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. you will manage the full life-cycle of verification, which can range from verification planning, TEST execution, to collecting and closing coverage.the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
create and enhance constrained-random verification environments using systemverilog and uvm, or formally verify designs with sva and industry leading formal tools.
identify and write all types of coverage measures for 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.