Manufacturing Test Engineer Manager

🏢 Summary: Software engineering role focused on building and maintaining large-scale technical infrastructure that powers global services. The position involves product and systems development, design and code reviews, documentation, and debugging issues across hardware, network, and service operations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of programming experience in C++, Python, or Go, 2 years of experience with large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture 📃 Skills: C++, Python, Go, Infrastructure, Networks, Compute, Storage 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience programming in C++, Python, or Go. • 2 years of experience developing large-scale infrastructure, distributed systems, or networks; or experience with compute technologies, storage, or hardware architecture. Preferred qualifications • Master’s degree or PhD in Computer Science or related technical fields. • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. • 2 years of experience with data structures or algorithms in an academic or industry setting. • Experience developing accessible technologies. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Products handle information at massive scale and extend beyond web search. As a software engineer, you will work on a project critical to business needs, with opportunities to switch teams and projects as the business grows and evolves. Engineers are expected to be versatile, demonstrate leadership, and take on new full-stack problems. The Technical Infrastructure team builds the architecture behind online user experiences. Its work includes developing and maintaining data centers, building next-generation platforms, and keeping networks running to provide users with a fast, reliable experience. The AI and Infrastructure team delivers AI and infrastructure at scale, efficiency, reliability, and velocity for internal teams, cloud customers, and users worldwide. Teams support AI-model development, global computing services, and developer platforms, with work spanning software and hardware, including TPUs, Vertex AI for Google Cloud, global networking, data center operations, and systems research. Responsibilities • Write product or system development code. • Participate in or lead design reviews with peers and stakeholders to select among available technologies. • Review code developed by other developers and provide feedback to ensure best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback. • Triage product or system issues and debug, track, and resolve them by analyzing issue sources and their impact on hardware, network, or service operations and quality.

🏢 Summary: Design and develop high-speed I/O, interconnect, PCIe, high-power connector, and Ethernet cable solutions. The role covers cable architecture, tolerance and FEA analysis, specifications, cross-functional collaboration, and supplier prototype development for production-ready products. 🗂️ Requirements: Bachelor’s degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience, 3 years of experience designing mechanical components or assemblies, 3 years of experience using CAD tools 📃 Skills: CAD, MCAD, NX, Creo, Solidworks, PCIe, Ethernet, FEA 🏢 Description: Minimum Qualifications • Bachelor’s degree in Mechanical Engineering, Product Design, or a related field, or equivalent practical experience. • 3 years of experience designing mechanical components, including plastic or metal parts, mechanical assemblies, printed circuit boards, or flexes. • 3 years of experience using computer-aided design (CAD) tools, such as 3D MCAD, NX, Creo, or Solidworks. Preferred Qualifications • Master’s degree in Mechanical Engineering, Product Design, or a related field, or equivalent practical experience. • 3 years of work experience in consumer product design. • Experience shipping multiple consumer products. • Experience collaborating with suppliers around the world on part manufacturing and final assembly, including onsite factory support. • Experience with multiple manufacturing methods used in consumer products. • System integration experience, including electro-mechanical components such as audio, display, camera, and antenna; waterproofing; thermals; grounding; or product architecture. About the Job Lead the development of high-speed I/O and interconnect cables and connectors. Concept and design next-generation cable families to meet expanding needs for internal and external PCIe solutions, and support a growing portfolio of high-power connector solutions. Responsibilities • Design Ethernet electrical cables to meet and exceed industry specifications, and drive multi-source development of cable solutions that meet interoperability requirements. • Perform tolerance analysis and Finite Element Analysis (FEA) on mating designs. • Develop thorough cable specifications covering electrical and mechanical performance, quality, ergonomics, and serviceability in collaboration with a broad cross-functional team. • Drive suppliers to provide functioning prototypes for early evaluation; identify and resolve design weaknesses in supplier product offerings to meet requirements.

🏢 Summary: Software engineering role focused on building and operating large-scale technical infrastructure, distributed systems, networks, and cloud platforms. The position involves end-to-end development, design reviews, code quality, documentation, and troubleshooting of system, hardware, network, and service issues. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of programming experience in C++, Python, or Go, 2 years of experience with large-scale infrastructure, distributed systems, networks, cloud technologies, storage, or hardware architecture 📃 Skills: C++, Python, Go, Cloud, Storage, Networks, Infrastructure 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience programming in C++, Python, or Go. • 2 years of experience developing large-scale infrastructure, distributed systems, or networks; or experience with cloud computing technologies, storage, or hardware architecture. Preferred qualifications • Master’s degree or PhD in Computer Science or a related technical field. • 2 years of experience with performance analysis, large-scale systems data analysis, visualization tools, or debugging. • 2 years of experience with data structures or algorithms in an academic or industry setting. • Experience developing accessible technologies. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Software engineers develop next-generation technologies that support how billions of users connect, explore, and interact with information. Products operate at massive scale and span areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. This role is assigned to a project critical to technical infrastructure needs, with opportunities to move between teams and projects as business needs evolve. Engineers are expected to be versatile, demonstrate leadership, and take on new full-stack challenges. The Technical Infrastructure team develops and maintains data centers, platforms, and networks that support products and services. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, with work spanning hyperscale computing, TPUs, Vertex AI, global networking, data center operations, systems research, software, and hardware. Responsibilities • Write product or system development code. • Participate in or lead design reviews with peers and stakeholders to select among available technologies. • Review code from other developers and provide feedback on best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to documentation or educational content, adapting it for product or program updates and user feedback. • Triage, debug, track, and resolve product or system issues by analyzing their sources and impacts on hardware, network, or service operations and quality.

🏢 Summary: Lead Google Cloud AI Research engineering teams developing and deploying large-scale generative AI solutions. The role combines technical strategy, ML infrastructure optimization, system design, code development, and people leadership across multiple teams and locations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8+ years of software development experience, 5+ years leading ML design and ML infrastructure optimization, 3+ years in technical leadership, 2+ years with state-of-the-art GenAI techniques or related concepts, 2+ years of people management or team leadership experience 📃 Skills: Python, C, C++, Java, JavaScript, ML, GenAI, LLMs, Multimodal, Vision, Deployment, Evaluation, Debugging, Finetuning 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • 3 years of experience in a technical leadership role. • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). • 2 years of experience in a people management or team leadership role. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 3 years of experience working in an organization involving cross-functional or cross-business projects. About the job Software Engineering Managers provide technical leadership for major projects while managing teams of engineers. They manage project goals, contribute to product strategy, develop their teams, and help engineers optimize their code. This role manages engineers across multiple teams and locations, a large product budget, and the deployment of large-scale projects across multiple international sites. The Google Cloud AI Research team addresses AI challenges across industries including technology, healthcare, finance, and retail, conducting research with scientific and real-world impact and collaborating with product teams to bring innovations to customers. Responsibilities • Set and communicate team priorities that support broader organizational goals; align strategy, processes, and decision-making across teams. • Set clear expectations based on individuals’ levels and roles; meet regularly to discuss performance and development, and provide feedback and coaching. • Develop the mid-term technical vision and roadmap for one or more teams; evolve the roadmap for future requirements and infrastructure needs. • Design, guide, and vet system designs; write product or system development code to solve ambiguous problems. • Lead the design of GenAI solutions, optimize ML infrastructure, and guide data preparation and model optimization strategies.

🏢 Summary: Senior embedded software engineering role focused on designing, developing, testing, deploying, and maintaining large-scale infrastructure software. The position provides technical leadership for high-impact projects, aligns distributed teams, and manages delivery priorities and timelines. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of software development experience, 7 years of embedded operating systems experience, 5 years of software design, architecture, testing, and product-launch experience, Kernel programming experience, Firmware experience, C or C++ coding experience 📃 Skills: C, C++, Kernel, Firmware, Embedded, Networking, Algorithms, Architecture 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 8 years of experience in software development. • 7 years of experience working with embedded operating systems. • 5 years of experience with design and architecture; and testing/launching software products. • Experience in Kernel programming and firmware. • Coding experience in C or C++. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures and algorithms. • 5 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. • Experience with data center networking. About the job Software engineers develop next-generation technologies that support large-scale information services and products. This role works on a project critical to business needs, with opportunities to change teams and projects as priorities evolve. Engineers are expected to be versatile, demonstrate leadership, and take on new full-stack problems. Using technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, with a focus on efficiency, reliability, and velocity. Its work spans software and hardware, including TPUs, Vertex AI for Google Cloud, global networking, data-center operations, systems research, and hyperscale computing platforms. Responsibilities • Provide technical leadership on high-impact projects. • Influence and coach a distributed team of engineers. • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. • Manage project priorities, deadlines, and deliverables. • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

🏢 Summary: Research-focused Software Engineer role advancing large language model and information retrieval capabilities for Gemini, Search, and related products. The position combines model evaluation, multi-stage training and practical modeling innovations, with deployment of research advances alongside Search and YouTube teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience, 3 years of machine learning experience focused on Large Language Models or Information Retrieval, 3 years of software engineering experience using Python, C++, JAX, or PyTorch, Experience implementing multi-stage training pipelines or algorithms 📃 Skills: Python, C++, JAX, PyTorch, LLMs, IR, MachineLearning 🏢 Description: Minimum qualifications • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience. • 3 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR). • 3 years of experience with software engineering in Python, C++, JAX, or PyTorch programming, including experience implementing multi-stage training pipelines or algorithms. Preferred qualifications • Experience developing Reinforcement Learning (RL) algorithms, automated evaluation systems, or LLM reflection and reasoning frameworks. • Experience with competitive programming, mathematics competitions (e.g., ICPC, IOI, IMO), or a track record of developing novel algorithms. • Experience rapidly prototyping and iterating on complex systems, generative AI models, or multi-stage pipelines. • Experience collaborating with product engineering teams to deploy machine learning models or research innovations into large-scale production environments (e.g., Search, Recommendation Systems). • Track record of learning new software tools, frameworks, and codebases quickly to solve complex technical obstacles. About the job Research-focused Software Engineers create experiments, prototype implementations, and design new architectures for real-world challenges such as artificial intelligence, data mining, natural language processing, hardware and software performance analysis, compilers for mobile platforms, and core search. The role includes large-scale testing and rapid deployment of promising ideas, while contributing to the wider research community through university partnerships and published papers. Responsibilities • Uncover strategic opportunities at the intersection of Gemini, Search, factuality, continual learning, deep research, and domain internalization. • Analyze models and model-driven products beyond current leaderboards; understand complex problem spaces and create new ways to measure ideal behavior. • Use empirical findings to develop practical interventions and modeling innovations that improve models across downstream surfaces. • Collaborate with product teams such as Search and YouTube to scale research innovations into production environments, optimizing for quality and efficiency.

🏢 Summary: Lead a newly consolidated engineering team building the technical foundation for safe, scalable Google Cloud use across Alphabet, including AI solutions and infrastructure automation. The role combines people leadership, technical strategy, system design, and hands-on engineering for large-scale, international deployments. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of software development experience, 2 years of people management or team leadership experience, Experience integrating generative AI tools or LLM interfaces into workflows 📃 Skills: SoftwareDevelopment, GenerativeAI, LLMs, Leadership 🏢 Description: Minimum qualifications • Bachelor’s degree, or equivalent practical experience. • 8 years of experience in software development. • 2 years of experience in a people management or team leadership role. • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications • Master's degree or PhD in Computer Science or a related technical field. • 3 years of experience working in a complex, matrixed organization. • Experience or strong interest in building execution runtimes and sandboxes for AI/ML workloads or autonomous agent frameworks (e.g., Jetski, CASG, Vertex Agent Engine). • Experience managing corporate customer migration, intake pipelines, or onboarding workflows at scale. • Familiarity with Google Cloud security products (such as VPC Service Controls and Cloud Firewalls), as well as advanced networking technologies like eBPF network policies, Cilium, and Envoy sidecar proxies. • Familiarity with Google-internal production primitives and data access layers (F1, Spanner). About the job Software Engineering Managers provide technical leadership for major projects while managing teams of engineers. They optimize their own code, enable engineers to optimize theirs, manage project goals, contribute to product strategy, and develop their teams. Teams work across areas including information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. With technical and leadership expertise, you will manage engineers across multiple teams and locations, oversee a large product budget, and lead deployment of large-scale projects across multiple international sites. The Hybrid Cloud Environment (HCE) team enables Alphabet’s safe-by-default use of Google Cloud Platform (GCP) by shifting non-functional requirements—including security, privacy, regulatory, and FinOps—into the platform layer. You will lead a newly consolidated engineering team combining the former Cloud AI Solutions and Corp Run workstreams; the team will support Cloud for Alphabet (C4A) and Project Reef, making “intent become infrastructure.” The Core team builds the technical foundation behind flagship products. The team owns and advocates for underlying design elements, developer platforms, product components, and infrastructure; builds central solutions across products; removes technical barriers; strengthens existing systems; and influences important technical decisions across the organization. Responsibilities • Set and communicate team priorities that support broader organizational goals. • Align strategy, processes, and decision-making across teams. • Set clear expectations for individuals based on their level and role, aligned with organizational goals. • Meet regularly with individuals to discuss performance and development, and provide feedback and coaching. • Develop the mid-term technical outlook and roadmap for one or more teams. • Evolve the roadmap to meet anticipated future requirements and infrastructure needs. • Design, guide, and vet system designs within the broader area, and write product or system development code to solve ambiguous problems. • Review engineers’ code and provide feedback to ensure best practices for style, code check-in, accuracy, testability, and efficiency.

🏢 Summary: Software engineering role focused on building and operating large-scale technical infrastructure, distributed systems, networks, storage, and database infrastructure. The position involves developing, testing, reviewing, and debugging production code while contributing to system design and technical decisions. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of C++ or Go programming experience, 3 years of software product testing, maintenance, or launch experience, 1 year of software design and architecture experience, 3 years of large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture experience, Database internals, storage systems, or database infrastructure experience 📃 Skills: C++, Go, Databases, Storage, Networking, Infrastructure, Architecture, Testing 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 5 years of experience programming in C++ or Go. • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. • Experience in database internals, storage systems, or database infrastructure. Preferred qualifications • Master's degree or PhD in Computer Science or a related technical field. • 5 years of experience with data structures and algorithms. • 1 year of experience in a technical leadership role. • Experience developing accessible technologies. About the job Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products operate at massive scale and extend beyond web search, spanning information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will work on a project critical to business needs, with opportunities to switch teams and projects as priorities evolve. The role requires versatility, leadership, and enthusiasm for solving new full-stack problems. The Technical Infrastructure team builds and maintains the architecture behind online products, including data centers, next-generation platforms, and networks. The team keeps networks running and enables fast, reliable user experiences. Cloud solutions provide enterprise-grade technology and tools that help developers build more sustainably and support organizations’ digital transformation. Responsibilities • Write and test product or system development code. • Participate in or lead design reviews with peers and stakeholders to select among available technologies. • Review code developed by other developers and provide feedback on best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to existing documentation or educational content and adapt it based on product or program updates and user feedback. • Triage product or system issues and debug, track, and resolve them by analyzing issue sources and their impact on hardware, network, or service operations and quality.

🏢 Summary: Software engineering role focused on building and maintaining large-scale infrastructure, distributed systems, networks, and security-related cloud capabilities. The position includes end-to-end development, design reviews, code quality, documentation, and production issue resolution. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of software development experience, or 1 year with an advanced degree in an industry setting, 2 years of experience with large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture 📃 Skills: Infrastructure, Distributed-systems, Networks, Compute, Storage, Hardware, Databases, Security, Algorithms, Debugging 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications • Master's degree or PhD in Computer Science or related technical fields. • 2 years of experience with data structures and algorithms. • Experience designing, developing, and maintaining distributed databases. • Experience with security software development and secure engineering practices. About the job Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products operate at massive scale and extend beyond web search. Engineers bring ideas from areas including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. You will work on a project critical to business needs, with opportunities to switch teams and projects as the business evolves. The role requires versatility, leadership qualities, and enthusiasm for solving new full-stack problems. Responsibilities • Write product or system development code. • Participate in, or lead, design reviews with peers and stakeholders to decide among available technologies. • Review code developed by other developers and provide feedback to ensure best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback. • Triage product or system issues and debug, track, and resolve them by analyzing issue sources and their impact on hardware, network, or service operations and quality.

🏢 Summary: Lead the architecture and scaling of AI/ML infrastructure for YouTube Ads creative automation. The role focuses on high-throughput distributed systems, GenAI media-processing pipelines, experimentation platforms, and technical leadership across product and research teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience, 8 years of software development experience, 5 years of software product testing and launch experience, 5 years building large-scale infrastructure, distributed systems, networks, compute, storage, or hardware architecture, 3 years of software design and architecture experience, Experience designing or deploying machine-learning infrastructure or platforms 📃 Skills: Python, TensorFlow, PyTorch, Cloud, Distributed, Infrastructure, Architecture, Algorithms, MachineLearning, DeepLearning, GenAI 🏢 Description: Minimum qualifications • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing and launching software products. • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. • 3 years of experience with software design and architecture. • Experience designing or deploying machine learning (ML) infrastructure or platforms. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures and algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. • Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and cloud/distributed data technologies. About the job Develop next-generation technologies that operate at massive scale. Work on a project critical to business needs, with opportunities to switch teams and projects as priorities evolve. Bring ideas across areas including distributed computing, large-scale system design, networking, data storage, artificial intelligence, and more. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions. The YouTube Ads Creative Optimization (YACO) team develops Creative Automation applications that drive advertiser value with minimal advertiser effort by leveraging AI technologies. The team operates at the intersection of Ads, YouTube, and Research. Responsibilities • Serve as the technical leader responsible for architecting, scaling, and steering next-generation infrastructure that powers AI/ML applications. • Operate at the intersection of Ads, YouTube, and GenAI research to build high-throughput systems enabling seamless creative generation and optimization. • Define the technical roadmap and architect scalable foundational infrastructure, including creative data engines, generation and rendering pipelines, and agentic orchestration frameworks. • Design and optimize distributed systems for complex GenAI and heavy media-processing workloads. • Build and mature experiment and learning infrastructure to accelerate model training, evaluation, and rapid deployment. • Partner with Product Management, Research, and executive leadership to align infrastructure capabilities with long-term business goals. • Guide, mentor, and elevate executive and junior engineers, fostering technical excellence and execution.