Total 47 process development engineer job vacancies in The Philippines

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

As a Software Engineer III in the Singapore Cloud and Third Party Security team, you will work independently to deliver on well-defined engineering milestones. You will contribute to building and scaling products that identify and secure Alphabet's public cloud and third-party environment usage. You will collaborate closely with senior engineers and cross-functional partners, leveraging this opportunity to deepen your expertise in cloud security engineering while helping establish our Singapore software engineering presence.

Qualifications

Job responsibilities

• Implement and test software features, APIs, and tools to support cloud security controls and third-party risk remediation.
• Deliver end-to-end tasks and milestones for projects with minimal assistance from more senior team members, planning and organizing your own work effectively.
• Participate in system design and architectural discussions, contributing technical perspectives and helping select appropriate approaches to address technical challenges.
• Collaborate with immediate team members and cross-functional partners to deliver on project milestones and proactively manage blockers.
• Maintain high code quality by writing comprehensive unit/integration tests, participating in code reviews, and improving documentation.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 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.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building software for data privacy or security (e.g., identity and access management).
• Experience with modern software engineering practices, including unit testing, continuous integration, and code review.
• Experience in Go and Python and familiarity with public cloud platforms and basic cloud security concepts.
• Ability to learn quickly and adapt to new technologies and ambiguous problem spaces.
• Excellent communication skills and ability to collaborate effectively within a global team.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

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.

Qualifications

Job responsibilities

• Build and maintain ultra-reliable live production services handling high-volume traffic, and massive batch pipelines seamlessly processing billions of records per day.
• Reduce infrastructure complexity, improve reliability, and ensure security and privacy compliance.
• Develop effective machine learning models.
• Work with product and marketing teams for experimentation and launch.
• Analyze data for statistical insights, design experiments and metrics, and generate ideas for improvement.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C/C++, Python, JavaScript, or Go).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience building data pipelines for machine learning.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in developing and maintaining machine learning models in production
• Experience in analyzing and improving efficiency, scalability, and stability of various systems
• Experience with sandboxing solutions, ensuring the highest standards of security and privacy.

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 DWDM topology and architecture with toubleshooting of DWDM systems.
• Experience in layer 1 optical transmissions systems, layer 3 routing TCP/IP, wireless networking, or network design or operations.
• Experience leveraging Large Language Models (LLMs) and AI-assisted tools to automate repetitive workflows, generate code scripts, or analyze technical documentation.
• Knowledge of fiber types and their application, physical fiber characteristics, and standard testing tools (e.g., OSA, BERT, OTDR).
• Knowledge of network transport design, equipment and infrastructure.
• 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

The Google Cloud Platform (GCP) team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security and reliability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes using technology to connect with customers, employees and partners.

As a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will partner with a cross-functional team at Google, to drive initial and ongoing business growth for our customers, providing technical advisory, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities.

Application Instructions: Successful candidates may be required to obtain or currently possess CAT2A security clearance during their employment. 

Qualifications

Job responsibilities

• Develop and orchestrate a structured, deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
• Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
• Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible. Maintain awareness of progress against the delivery plan, providing support to customers or partners during ramp, delivery, migration, or implementation phases.
• Identify expansion opportunities for new workloads within the account during project execution.
• Drive the product usage to help customers realize value on an ongoing basis and secure future agreement renewals.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in deployment planning, orchestration, or change management, programming languages, debugging, or systems design.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications

• Experience promoting technical solutions in one or more of the following areas: infrastructure modernization, application modernization, data management, data analytics, AI, networking, migrations or security.
• Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer deployment.
• Experience working with product and capacity teams to resolve technical and capacity blockers.
• Experience with Google Cloud products and differentiation from competition.
• Experience in developing and deploying solutions in a fluid, digital-native 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

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in infrastructure migrations, you will partner with Technical Sales teams and other CEs to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins for the migration of complex, enterprise workloads, in partnership with platform CEs, Google Cloud Consulting, and partners. You will leverage your expertise in our most strategic product areas to direct migrating pilot workloads as proof-of-concepts and demos to sell complex migrations of large enterprise workloads to customers. You will solve migration-centered customer issues and provide a critical feedback loop to influence customers, partners and product development. With your organizational, communication, and presentation skills, you will engage with customers to understand their business and technical requirements, and present practical and useful solutions to facilitate and de-risk the migration to Google Cloud.

Qualifications

Job responsibilities

• Drive the technical win for complex workloads within migrations to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
• Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing pre-sales role.
• Experience with enterprise architectures and migration strategies for technologies such as cloud to cloud or on-premises to cloud.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications

• Experience with data centers consolidation, relocation, migration, or virtualization projects.
• Experience in migrating, architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in configuration management (e.g., Puppet, Chef, CFEngine, Salt), and functional operations of server, storage, and network functions.
• Experience with networking concepts (e.g., Routing, VPNs, load balancers, and firewalls).
• Experience migrating Linux workloads across private, public, or hybrid cloud environments.
• Experience with enterprise approaches for business continuity, disaster recovery, and backup and restore.

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

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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

Google Cloud Storage is a distributed service that supports global Artificial Intelligence (AI), consumer, and enterprise companies, as well as startups.

The GCS Clients team is the primary interface for all users and applications accessing the capabilities of Google Cloud Storage (GCS). Our mission is to enable customer success for the demanding Artificial Intelligence/Machine learning (AI/ML) and investigative workloads.

Qualifications

Job responsibilities

• Take ownership of new features from concept to launch by writing code, authoring design documents, and providing feedback in design reviews to influence technical direction.
• Lead the design of GCS client software (e.g., Software Development Kits (SDKs), connectors), with a focus on creating a quality developer experience.
• Define and lead the strategy for benchmarking, engaging analysis, and performance optimization across all GCS clients.
• Lead in design and code reviews, establish standards for engineering excellence. Act as the engineering lead for the customer-reported problems. Ensure the output is well-architected.
• Set the technical standard for the team by mentoring other engineers in best practices for debugging, performance optimization, and writing customer-centric client code.

Minimum qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 8 years of experience with software development and developing large-scale infrastructure, storage or distributed systems.
• 5 years of experience in testing, and launching software products.
• 3 years of experience with software design and architecture.
• Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.

Preferred qualifications

• Experience with storage technologies.
• Experience with AI/ML and investigative workloads.
• Experience in building and maintaining infrastructure software in a distributed environment.

Role

As a Deep Learning Engineer, you will apply your strong skills in software engineering, deep learning, 3D computer vision to implement, optimize and deploy the perception capabilities for industrial robots. You will be instrumental in developing advanced AI models for tasks such as transformer based foundation models for object detection, object pose estimation, 3D reconstruction, and grasping. Your work will enable robots to intelligently interact with their environment in real-world industrial settings, translating cutting-edge deep learning research into robust, deployable solutions that make industrial robotics more intelligent and accessible.

How your work moves the mission forward

• Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction.
• Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments.
• Translate advanced deep learning research and models into practical, production-ready solutions for physical robots.
• Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings.
• Contribute to the design and implementation of core perception software skills within Intrinsic's platform.

Skills you will need to be successful

• A Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field.
• 1-3 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based models.
• Demonstrated experience with deploying deep learning models in production, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction.
• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX).
• Strong programming skills in Python and C++.

Skills that will differentiate your candidacy

• Expertise in transformer-based deep learning architectures for computer vision and robotics.
• Experience with optimizing or quantizing ML models for deployment
• Experience developing algorithms for robotic perception, grasping and/or manipulation.
• Proficiency in CUDA for high-performance computing.

Role

As a Deep Learning Engineer, you will apply your strong skills in software engineering, deep learning, 3D computer vision to implement, optimize and deploy the perception capabilities for industrial robots. You will be instrumental in developing and deploying  advanced AI models for object detection, object pose estimation, 3D reconstruction, and grasping. Your work will enable robots to intelligently interact with their environment in real-world industrial settings, translating cutting-edge deep learning research into robust, deployable solutions that make industrial robotics more intelligent and accessible.

How your work moves the mission forward

• Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction.
• Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments.
• Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings.
• Contribute to the design, implementation and documentation of core perception software skills within Intrinsic's platform.
• Support users in applying perception skills in production applications.

Skills you will need to be successful

• A Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field.
• 1-3 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based models.
• Demonstrated experience with deploying computer vision in production, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction.
• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX).
• Strong programming skills in Python and C++.

Skills that will differentiate your candidacy

• Expertise in computer vision and robotics.
• Experience with GPU kernel programming in CUDA.
• Experience with optimizing or quantizing ML models for deployment.
• Experience developing algorithms for robotic perception, grasping and/or manipulation.

Role

As a Senior Robotics Software Engineer working on mobile robot orchestration, you will collaborate with a diverse team of roboticists and software developers to reimagine how mobile robots make their way through the complex, dynamic world that we live in. You will develop high-performance multi-agent path finding algorithms that enable hundreds to thousands of robots to operate in densely packed factories and warehouses. You will design robust behaviors for fleets of mobile robots to seamlessly interact with automated doors, elevators, and robot workcells. Your work will be deployed in a wide variety of dynamic environments, including factories, warehouses, malls, hospitals, campuses, and commercial buildings. Through close collaboration with the Open Robotics community, you will shape open specifications for mobile robot interoperability.

How your work moves the mission forward

• Examine challenging environments and identify strategies for seamless mobile robot traffic.
• Develop software tools to make mobile robot traffic behavior easy to understand and debug.
• Implement various algorithms for multi-agent path finding and benchmark them across diverse environments.
• Build extensible reusable libraries that empower customers to tailor their mobile robot traffic behaviors to their unique scenarios.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Robotics, or equivalent practical experience.
• Proficiency in systems programming languages such as C++, Python, or Rust.
• Demonstrable experience with autonomous mobile robots (such as MiR, OTTO, Geek+).
• Expertise in programming reactive software systems.
• Experience architecting distributed multi-agent systems using ROS, Zenoh, MQTT, gRPC, or REST APIs.

Skills that will differentiate your candidacy

• A Masters or Doctoral degree relevant to mobile robot orchestration.
• Peer-reviewed research papers related to multi-agent path finding.
• Expertise in the Rust programming language.
• Experience deploying large-scale mobile robot traffic systems.
• Experience deploying mobile robots in human-centric environments.
• Comfort engaging with diverse stakeholders to assimilate broad perspectives and build consensus.

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

Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. 

In this role, you will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration. This will include threats that originate from human or autonomous AI agentic actions. You will lead large parts of the systems involved, independently designing and guiding other engineers on implementation. You will be a critical part of creating a culture of engineering excellence in the team. You will work with cross-functional stakeholders across geo locales.

Qualifications

Job responsibilities

• Implement holistic, next generation security controls that are context aware across all Google systems storing intellectual property.
• Work with Security Engineers, Product Managers, Technical Program Managers, and partner teams to implement preventive data exfiltration controls.
• Lead other engineers on designing and building controls for systems, including workspace, chrome, bug manager, corporate endpoints, and access management.
• Lead the engineering effort to design and implement automatic AI-based classification systems, ensuring controls are effective against threats from agentic AI.
• Help onboard other engineers and foster a culture of engineering excellence across the team.
  

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, C++ or equivalent codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience with designing and operating large-scale distributed systems.
  

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in AI-driven large-scale data reasoning and inference processes.
• Experience in AI, specifically in agentic software engineering.
• Proven track record of supervising teams of 4-5 engineers, providing direct coaching and professional mentorship.
• Familiarity with cybersecurity solutions and related product landscapes.
• Ability to integrate rapidly into new team environments while facilitating the onboarding of fellow engineers.

Role

As a Robotics Software Testing Engineer, you will collaborate with fellow engineers in maintaining and testing software for robotics, in the domain of industrial factory automation. You will play a key role in ensuring software stability and compatibility, by designing and implementing comprehensive and automated test suites. You will work closely with engineers and stakeholders to design testing pipelines with hardware in-the-loop. You will assist in the upkeep of Open-RMF, interacting with users and the open source community on matters of issues, fixes, and feature requests.

How your work moves the mission forward

• Enable the team to discover, isolate and mitigate issues swiftly.
• Empower the team to deploy with confidence.
• Accelerate the development of robot interoperability and factory orchestration at scale.
• Provide a consistent and reliable testing pipeline to accelerate development, bug reproduction and fixes.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, or Robotics, or equivalent practical experience.
• Familiarity with modern programming practices in C++, Python, or Rust.
• Experience in designing and maintaining software testing pipelines with upstream dependencies and downstream users.
• Experience with distributed systems and communication protocols such as REST or ROS 2.
• Experience with both simulated (Gazebo) and hardware mobile robot platforms.

Skills that will differentiate your candidacy

• Experience with Open-RMF.
• Experience in Rust.
• In-depth knowledge of isolation, containerization and Kubernetes.
• Experience with industrial robotic arms.

Role

As a Robotics Software Engineer specializing in Robot Learning and Manipulation, you will drive the design, training, validation and deployment of contact-rich manipulation skills for real-world manufacturing. Your focus will be on solving dexterous, contact-rich assembly tasks. You will develop and integrate advanced sensor-based control strategies and Machine Learning (ML) policies within the Intrinsic Robot Control stack, managing the full model lifecycle - from architecture, large-scale data collection and training to validation, deployment and cycle-time optimization - to meet rigorous industrial standards.

How your work moves the mission forward

• Develop, train, and deploy multi-modal feedback- and interaction controllers to solve high-precision insertion and assembly tasks.
• Lead the AI manipulation model lifecycle, conducting regular trials on industrial hardware to evaluate algorithmic changes and curate high-quality training datasets.
• Architect and build modular components for reinforcement learning and imitation learning, continuously seeking to improve the robustness of contact-rich assembly tasks.
• Stress-test and optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• PhD or equivalent professional experience in Robot Learning and AI Manipulation (e.g., Applied RL, Visuomotor Policy Learning, Vision-Language-Action models).
• 2 years of professional experience in C++ and Python, with a proven track record of shipping production-quality code.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Hardware Experience: Direct experience testing and iterating on physical robots integrated with vision and force-torque sensors.
• Operational Grit: A desire to spend significant time in the lab, managing hardware experiments and troubleshooting physical-world edge cases.
• Communication: Business fluency in English.

Skills that will differentiate your candidacy

• Multimodal Perception and Control: Expertise in integrating tactile/force sensing and computer vision  for contact-rich tasks.
• Hardware Experience: Direct experience testing and iterating on physical robot manipulators integrated with vision and force-torque sensors.
• Large-Scale Training: Proficiency in training on massive multimodal datasets and managing cloud-based training workflows (e.g. Argo).
• Infrastructure: Experience with cloud-based training (Argo) and deploying inference on the edge.
• Customer Focus: Willingness to travel internationally to analyze customer use cases and deploy solutions under ambitious timelines.

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

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

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

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, availability, and scale.
• Develop an in-depth 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 a 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.
• 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
• Experience creating content for technical audiences, and with web technologies (e.g., 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 fluently 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 cloud computing and debugging complex workload issues across large-scale, 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.
• Experience with one or more of the following solutions: system virtualization, on-premise or hybrid cloud computing.