Total 47 process development engineer job vacancies in The Philippines

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

 Job description

The High Touch Support team focuses on solutions and customer-centric supportability and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP). 

In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers, aiming to anticipate their needs, optimize product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.

Qualifications

Job responsibilities

• Work with customers on their production deployments to resolve issues and achieve product readiness and availability.
• Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, build tools, and diagnosis.
• Serve as a consultant and subject-matter-expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
• Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
• Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices.
• Experience creating content for technical audiences, and with web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
• Ability to participate in on-call rotation, including non-standard working hours, nights, weekends and holidays.
• Ability to communicate in English and Mandarin to support client relationship management in this region.

Preferred qualifications

• Experience using techniques such as packet capture/packet analysis, artificial packet creation, load testing, and traffic path analysis to troubleshoot network latency, packet loss, and other performance issues at the packet level.
• Experience in developing developer tools (e.g., automation, testing, debugging).
• Experience working with any public cloud service and infrastructure.
• Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues.
• Knowledge of networking fundamentals (e.g., load balancing, cloud storage, peering, TCP/IP, etc.).
• Knowledge of Linux or Unix systems at a system/network administrator level.

Product area

Google's network provides services to millions of Internet users around the world.  Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale.  Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered.  We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning. 

Job description

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.  

You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.

Qualifications

Job responsibilities

• Build and operate Google's network.
• Focus on delivering Infrastructure capacity for Asia Pacific (APAC) region.
• Design, plan, and install support for optical transport.
• Work with executive engineers to develop approaches for keeping operational costs low through tooling and process improvements.

Minimum qualifications

• Bachelor's degree in Network Engineering or Telecom Engineering, a related technical field, or equivalent practical experience.
• 2 years of experience in Dense Wave-Division Multiplexing (DWDM) or Transmission Control Protocol/Internet Protocol (TCP/IP) or system design operations methodology.

Preferred qualifications

• Experience in layer 1 optical transmissions systems, layer 3 routing TCP/IP, wireless networking, or network design or operations.
• Experience in DWDM topology and architecture with toubleshooting of DWDM systems.
• Knowledge of fiber types and their application, physical fiber characteristics, and standard testing tools (e.g., OSA, BERT, OTDR).
• Knowledge of networking and fundamentals of network troubleshooting at layer 1.
• Knowledge of network transport design, equipment and infrastructure.
• Excellent communication skills.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

You will be working on backend systems and platform integration tasks. This will include weighing the appropriate infrastructure pieces to use and integrating against them as well as evolving these choices rapidly overtime. You will also be responsible for directly contributing features to these core services.

In this role, you will support multiple client teams building agents, evaluations, and frontend features, as well as develop your own agents. You will also participate in client development driven by AI development tools to deliver a general-purpose conversational assistant in the Google Pay app.  

Finally, you can accelerate the rest of the team through the creation of useful agents and skills.

Qualifications

Job responsibilities

• Participate in, or lead design reviews with peers and stakeholders to decide amongst 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.
• Execute and own the technical roadmap.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 2 years of experience building tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).
• 2  years of experience building infrastructure for Agentic AI.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

The High Touch Support team’s focus on solutions and customer-centric supportability and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP).

In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide service to the customers, aiming to anticipate their needs, enhance product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.

Qualifications

Job responsibilities

• Work with customers on their production deployments to resolve issues and achieve product readiness and availability.
• Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis.
• Act as consultant and subject-matter-expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
• Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
• Experience creating content for technical audiences and web technologies (HTTP, HTML, DNS, TCP, etc.).
• Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices.
• Ability to communicate in English and Mandarin to support client relationship management in this region.

Preferred qualifications

• Experience working with any public cloud services and infrastructure (e.g., Google Cloud Platform).
• Experience developing developer tools (e.g., automation, testing, debugging).
• Experience with one or more of the following solutions: System virtualization, on-premise or hybrid cloud computing.
• Experience with cloud computing and debugging the workload issues across multi-node environments.
• Experience as a system/network administrator working with Linux/Unix systems, from kernel to shell, file systems, and client-server protocols.
• Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues.

Product area

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Job description

There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.

Additional job description

The new Singapore-based team will be dedicated to scaling our operations and risk reduction efforts through advanced automation and remediation. Our mission is to safeguard billions of users by efficiently triaging external security reports and proactively eliminating vulnerabilities across Google's products and infrastructure. We aim to evolve into a self-sustaining, AI-driven operation that provides deep insights into vulnerability trends while fostering a community of security researchers.

Qualifications

Job responsibilities

• Review designs and look for vulnerabilities, both with one-time reviews and long-term engagements. Look for vulnerabilities with techniques including reverse engineering, fuzzing, and static analysis.
• Drive large-scale remediation efforts that eliminate entire vulnerabilities across Google’s products and infrastructure.
• Guide the strategic development of agents and infrastructure to automate vulnerability handling, triage, and conduct variant analysis to reduce manual workloads.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with security assessments or security design reviews or threat modeling.
• 5 years of experience with security engineering, computer and network security and security protocols.
• 5 years of coding experience in one or more general purpose languages.
  

Preferred qualifications

• 1 year of experience in leading technical risk analysis in an enterprise environment.
• Experience building or deploying automated tools (e.g., large language model based agents) for security workflows such as triage automation or bug fixing.
• Experience with cross-functional or cross-product teams.
• Experience consulting on security/security protocols.
• Excellent communication skills.

Role

As a Software Engineer specializing in Simulation, you will collaborate with senior engineers to build and maintain high-fidelity simulation environments using Gazebo. You will be responsible for implementing features, creating assets, and running validation tests to ensure our digital twins accurately reflect real-world physics and hardware. You will work closely with the simulation and robotics teams to support the development of the Flowstate platform, ensuring that our tools are reliable and efficient for internal and external developers.

How your work moves the mission forward

• Develop and maintain simulation assets and environments using Gazebo and ROS.
• Implement software features that bridge the gap between simulation and physical robot behavior.
• Create and execute automated tests to validate robotic software performance in simulated environments.
• Collaborate with senior engineers to optimize simulation infrastructure for scalability and speed.
• Document technical workflows and contribute to the internal knowledge base for simulation tools.
• Maintain and contribute to the development of open source software.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science or Robotics, or equivalent practical experience.
• 2 years of experience in robotics software development or simulation.
• Proficiency programming in C++ and Python.
• Experience with the Gazebo simulator and ROS.
• Familiarity with physics engines (e.g., Dart, Bullet, ODE, MuJoCo).

Skills that will differentiate your candidacy

• Experience with Universal Scene Description (USD) and Simulation Description Format (SDF), and Unified Robotics Description Format (URDF).
• Familiarity with Entity-Component-System (ECS) architecture for game or simulation development.
• Knowledge of 3D modeling or computer graphics.
• Experience with sensor data or synthetic data generation.
• Experience with cloud platforms (e.g., GCP) for running automated tests or simulations.
• Background in developing plugins for open-source robotics projects.
• Experience working with version control systems and CI/CD pipelines.
• Experience creating interfaces for front end user facing tools.
• Willingness to travel domestically and internationally.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications

• 5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross-functional technical decisions.

Job description

In this role, you will lead the execution of enterprise Artificial Intelligence (AI) workloads from proof of concept to production. You will be working on Gemini Enterprise engagements to accelerate customer adoption and sustained usage with impact on customer business outcomes and Google Cloud business growth. You will create, manage, and execute the deployment plan, transitioning Gemini Enterprise license agreements into production workloads by providing technical leadership to customers and partners. You will have an impact on the velocity and incremental consumption of customer license agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities.

Qualifications

Job responsibilities

• Develop an AI deployment plan across customer and partner teams, clearing architectural blockers, and ensuring organizational readiness for launch.
• Execute technical unblocking for key workloads, including writing enterprise grade code, debugging Gemini Enterprise and third-party IT solutions, and architecting enterprise AI solutions.
• Drive and track the activation of Gemini Enterprise licenses, moving customers to consumption by executing plans, and ensuring quick transitions from basic adoption to advanced AI-assisted workflows.
• Identify opportunities to expand the AI footprint within the account. Discover new use cases such as reasoning tasks or multi-modal agents that drive cross-functional adoption and justify new license agreements.
• Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.

Minimum qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 10 years of experience in designing, building, and deploying technical solutions, including experience in prototyping concepts for production environments.
• 7 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages, debugging, or systems design.
• Experience with collaborating and presenting to technical stakeholders or executive leaders.

Preferred qualifications

• Experience in one or more of the following areas: infrastructure modernization, application modernization, data management, data analytics, cloud artificial intelligence (AI), networking, migrations, or security.
• Experience in developing applications with AI features and capabilities, using proprietary or open models and frameworks including prompt and context engineering, and external systems integration.
• Experience in technical project management for cloud and AI workloads like production deployment planning, orchestration, and change management.
• Experience in communicating technical concepts to technical and non-technical audiences, including executive stakeholders.
• Experience in developing, documenting, and communicating enterprise architecture and end-to-end solutions including multiple technology and organizational domains.

Product area

Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional job description

In this role, you will own the technical strategy, scoping, and outcomes for one or more work streams. You will be navigating relationships across Product, Business, gTech, and various Ads infrastructure teams. You will work with the China and Asia-Pacific (APAC) Global Business Organization (GBO) teams to understand major issues for the customers in the region to enable improvements and win Statement of Work (SOW). You will enable product and technical evolutions based on the learning, and apply the solution to the general advertiser base.

Qualifications

Job responsibilities

• Lead technical strategy and outcomes for major work streams like new user acquisition and feed serving optimization, and go beyond immediate projects, impacting teams with engaging priorities to achieve program goals.
• Design and execute experiments to optimize ad serving, bidding models, and retrieval systems.
• Drive engineering excellence and mentor executive engineers while managing technical issues.
• Collaborate with cross-functional partners to resolve customer escalations and technical headwinds.
• Guide Generative Artificial Intelligence (GenAI) solutions for asset generation and influence designs across program goals.

Minimum qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience with developing ads buying platforms, such as campaign automation, optimization, insights and performance diagnosis.
• 5 years of experience in Google's ads ecosystem, including targeting, bidding, serving systems, and data analysis tools.
• 3 years of experience with architecting and developing large-scale distributed systems or Ads infrastructure.
• Ability to communicate in Mandarin fluently to collaborate with regional partners and clients.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role with leading project teams and setting technical direction.
• 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
• Experience with driving business impact through engineering optimizations.
• Experience with GenAI integration into production workflows for large-scale customers.
• Experience with presenting to executive leadership and managing relationships, with excellent communication skills.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Additional job description

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Google is transforming how hyper-scale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.

Qualifications

Job responsibilities

• Execute scope for the cross-functional product development of new products and programs. Guide products through the product life cycle process.
• Work with the partner teams across data centers, with supply chain, construction and execution teams, hardware and software operations to help execute product insertions.
• Lead the Site Intercept process, assess specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
• Develop and execute Tech Insertion Cut-In Framework that defines the "Point of No Return" for design changes based on construction schedules and supply chain lead times.
• Orchestrate cross-functional efforts, provide executive decision support, and refine processes to accelerate time-to-decision. Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience in Data Center Engineering and product design.

Preferred qualifications

• Certifications like MSP or MOR.
• Experience in technical and product program management.
• Experience managing risk of product and programs, implementing mitigation plans.
• Ability to navigate ambiguity and work in a fluid environment.
• Ability to influence cross-functional team members and stakeholders.

Role

As a Senior Robotics Software Engineer in Sensor-Based Control and Robot Learning, you will develop and integrate advanced control strategies and Machine Learning (ML) policies within Intrinsic’s Realtime Robot Control stack. You will drive the deployment of visual servoing and force-control skills in real-world manufacturing settings, focusing on dexterous, contact-rich assembly tasks. You will be responsible for the full development lifecycle: designing controllers, ensuring scalable hardware integration, conducting large-scale experiments, and optimizing for cycle times and resource usage to meet rigorous industrial standards.

How your work moves the mission forward

• Develop visual servoing and interaction control loops to solve high-precision insertion and assembly tasks.

• Implement sensor fusion and time-synchronization algorithms for multi-modal, sensor-based robot control.

• Take ownership of the full experimentation cycle, regularly running trials on industrial hardware to evaluate algorithmic changes and collect high-quality training data.

• Propose and build modular components for our kinematics, state estimation, and control stacks to improve robustness in contact-rich environments.

• Analyze logs and telemetry from diverse sensor sources to identify failure modes and influence the technical roadmap.

• Optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field (or equivalent professional experience).

• 5+ years of professional software development experience in C++ within robotics or mechatronic systems.

• Proven practical experience testing and iterating on physical robotics hardware integrated with vision and sensing systems.

• Deep technical knowledge of numerical optimal control, robot motion optimization and sensor-based robot control

• Experience working closely with partners and cross-functional teams in a fast-paced environment.

• Business fluency in English.

Skills that will differentiate your candidacy

• PhD in Robotics, Computer Science, or a related field desired

• Track-record of outstanding academic contributions in the field

• Signal processing expertise in time synchronization, state estimation, and data fusion.

• Experience running ML model inference on on-prem hardware within soft-realtime loops.

• Cloud Infrastructure: Familiarity with cloud databases and cloud compute workflows.

• Proficiency in JAX, Python, TensorFlow or PyTorch.

Product area

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Job description

There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.

Additional job description

In this role, you will deliver technical contributions to enterprise security projects focused on protecting Alphabet’s data from risks associated with first-party and third-party Artificial Intelligence (AI) products. You will be assisting Google teams with securing AI-related features and products, including assessment of enterprise security controls within Google’s own products. You will partner with the Enterprise Security AI (EntSec AI) team to define and validate the path that guides secure AI development and use across the company. You will be an individual contributor with an understanding of Google’s used production tech stacks. You will be able to draw security engineering knowledge including threat modeling, security assessments, access controls, and data protection, and adapt this knowledge to advise on mitigating risks due to increased AI use.

Qualifications

Job responsibilities

• Deliver quality security assessments and threat models for first-party and third-party AI agents, ensuring they adhere to established paths and enterprise security principles.
• Propose and validate technical guardrails to prevent unauthorized agentic AI actions and to inform the development of frameworks/solutions that support secure AI development.
• Use your subject-matter expertise to assist with escalations and remediation in collaboration with members of the team.
• Share expertise on agent security technologies and Google-specific security infrastructure with adjacent teams to improve cross-functional project collaboration.

Minimum qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 2 years of experience with security in attacks and mitigation methods.
• 2 years of experience with security engineering, computer and network security and security protocols.
• 2 years of experience with coding in one or more general purpose languages.

Preferred qualifications

• Experience with developing threat models and performing technical security assessments of systems.
• Experience with commonplace industry security tools, security architecture (e.g., zero-trust BeyondCorp model), and processes for vulnerability management.
• Knowledge of the most-commonly used Open Source Software (OSS) and cloud-based production tech stacks.
• Ability to design and develop new security control implementations.
• Ability to produce quality engineering artifacts (e.g., design documents, code reviews, or risk assessments).

Product area

Google's network provides services to millions of Internet users around the world.  Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale.  Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered.  We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning. 

Job description

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.  

You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.

Additional job description

The Network Teams are responsible for operating networks reliably and at scale. The team owns the full lifecycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. The team is involved from site acquisition to construction and is accountable for what space and power is delivered. The team is involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.

Qualifications

Job responsibilities

• Build and operate Google's network reliably and at scale.
• Execute deployment, maintenance, and operations of private data networks worldwide.
• Develop approaches and collaborate with cross-functional teams to keep operational costs low.
• Monitor the network and repair issues while anticipating needs and escalating issues.
• Own network documentation, update and maintain network designs and plans.

Minimum qualifications

• Bachelor's degree in Network or Telecom Engineering, a related technical field, or equivalent practical experience.
• 3 years of experience with optical transmissions systems (e.g., Dense Wavelength Division Multiplexing (DWDM)) or Local Area Network (LAN)/Wireless Protocols or Transmission Control Protocol/Internet Protocol (TCP/IP).
  
• Experience with field operation technicians, engineers, contractors, or vendors in a telecommunications environment (e.g., installation, commissioning and network troubleshooting).

Preferred qualifications

• Experience in one or more of the following: layer 1 optical transmissions systems, layer 3 routing TCP/IP, wireless networking, network design, or operations.
• Experience in creating optical designs using vendor design tools, applying technical judgement to optical design, translating to bits on the wire, with the knowledge of optical design trade-offs and transaction Language 1 (TL1)/Command Line Interface (CLI) (TL1/CLI) automation.
• Experience with New Product Introduction (NPI) and test plan documents in a lab or staging environment.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Additional job description

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Google is transforming how hyperscale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.

Qualifications

Job responsibilities

• Execute scope for cross-functional product development of new products and programs. Guide products through the product lifecycle process.
• Work with upstream and downstream partner teams across data centers, specifically, supply chain, construction and execution teams, hardware and software operations to help execute successful product insertions.
• Lead the site intercept process quickly assesses specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
• Develop and execute tech insertion cut-in framework that defines the point of no return for design changes based on construction schedules and supply chain lead times.
• Orchestrate executive decision support and reporting and process optimization (speed to plan). Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in data center engineering and product design.

Preferred qualifications

• Certifications like Managing Successful Programmes (MSP)/Management of Risk (MOR).
• Experience in technical and product program management.
• Experience managing risk of product and programs, implementing mitigation plans.
• Ability to influence cross-functional team members and stakeholders.
• Ability to navigate ambiguity and succeed at a fast pace of change.

Product area

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Job description

There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.

Additional job description

Enterprise Data Protection (EDP) is an overarching cybersecurity program that delivers holistic security controls across Google's systems and enables the enforcement of consistent security policies on all platforms housing Google’s IP.

EDP develops and delivers native security controls while influencing, integrating, and driving security standards across other teams. We focus on proactive, preventive measures designed to mitigate threats before they occur.

In EDP, you will engineer the next generation of data protection by building infrastructure that safeguards Google’s intellectual property and user data. We deliver reliable, high-scale systems and seamless Data Loss Prevention (DLP) solutions that balance security with developer usability, ensuring every Googler can work securely and resiliently across the globe.

Qualifications

Job responsibilities

• Design, build, and implement security solutions to identify, measure, and remediate security gaps in Alphabet's infrastructure using public clouds (e.g., Google Cloud Platform) and on-premise physical networks.
  
• Review designs for cloud architecture and already deployed infrastructure to perform technical security assessments, develop threat models, provide design feedback, report security findings and provide remediation recommendation.
  
• Design solutions and develop documentation that ensure Alphabet's infrastructure using public clouds (e.g., Google Cloud Platform), on-premise physical networks, and other third-party hosted software and systems to the security standards.
  
• Build security tools and processes using Python or Go for critical infrastructure protection, monitoring, and remediation.
• Conduct security reviews of core corporate and production infrastructure.

Minimum qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  
• 5 years of experience with security in attacks and mitigation methods.
  
• 5 years of experience with security engineering, computer and network security and security protocols.
• 5 years of coding experience in one or more general purpose languages.
• 1 year of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.

Preferred qualifications

• Experience developing threat models and performing technical security assessments of systems.
• Understanding of networking concepts (e.g., protocols, topologies, encryption).
  
• Ability to design and develop new security control implementations.