Scale AI jobs

Senior Member of Technical Staff (AI Infrastructure) Austin, TX, United States, US As a Senior Software Engineer within Oracle Cloud Infrastructure (OCI), you'll have the opportunity to solve large-scale, mission-critical engineering challenges with broad technical impact. Our AI Infrastructure Engineering team is building the services and platforms behind the world's largest AI mega-cluster. These systems support every phase of next-generation data center lifecycle management - including planning, design, deployment, provisioning, operations, repair, and expansion. The platform enables OCI to scale existing regions, rapidly launch new ones, and deliver the infrastructure powering the next wave of AI innovation. We are looking for experienced engineers who thrive in highly technical environments and are passionate about building scalable, reliable, and highly available distributed systems. You will work on foundational infrastructure services that directly influence the growth and reliability of OCI's AI cloud platform. If you enjoy solving complex engineering problems, operating at massive scale, and building systems that power cutting-edge AI infrastructure, we'd like to hear from you. As a Senior Software Engineer, you will lead the design and development of key components within Oracle Cloud Infrastructure. You should be a strong software engineer with deep distributed systems expertise, capable of working across all layers of the stack - from low-level systems and performance optimization to large-scale service architecture and distributed workflows. You will: Design, develop, and operate highly scalable, resilient cloud services Drive architecture and technical direction for critical infrastructure systems Build and optimize distributed systems for performance, reliability, and scale Collaborate

Senior AI Expert Software Engineer – Healthcare Analytics United States, US About the Role At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems. You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery. Key Responsibilities • Build and enhance data pipelines, ETL workflows, and transformations. • Contribute to LLM/agent-based features and analytics use cases. • Work with EHR/RCM datasets and support KPI/dashboard development. • Learn and apply best practices in cloud, data engineering, and LLMOps. Mandatory Qualifications: • BS/MS in in Computer Science or equivalent. • 5+ years of relevant software engineering experience. • Strong software engineering skills in Python/Java. • Strong knowledge of SQL. • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL) • Experience building high-scale distributed data systems. • Cloud experience (OCI/AWS/Azure). •

Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Manager, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000

[REMOTE] Principal Software Engineer – Healthcare Analytics & AI United States, US At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems. You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery. Key Responsibilities • Design and develop scalable data pipelines and AI-driven workflows. • Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions, automation). • Own end-to-end features from data ingestion through transformation and on to insights. • Optimize systems for performance, scale, and low latency. • Mentor junior engineers and contribute to design decisions. Qualifications: • BS/MS in in Computer Science or equivalent. • 8+ years of relevant software engineering experience. • Strong software engineering skills in Python/Java. • Strong knowledge of SQL. • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL) • Experience

Strategic OCI & AI Infrastructure Lead United Kingdom, GB Oracle is seeking a senior leader to serve as a Strategic OCI & AI Infrastructure Lead within the Global AI Infrastructure & Strategic Pursuits organization. This role is not a traditional account role. This role requires deep technical and commercial skills, enabling complex customer engagements. This Lead will operate at the intersection of hyperscale AI infrastructure, complex customer environments, and high-stakes commercial outcomes. This includes owning and scaling some of the most demanding AI and cloud deployments globally, across enterprise, high-growth startups, strategic AI installations, or international markets (Europe, Middle East, APAC, and Latin America). This role requires equal comfortability discussing GPU cluster architecture and leading multi-million-dollar Cloud commercial negotiations. Key Responsibilities Strategic Customer Ownership Serve as the point of accountability for a portfolio of high-value AI/OCI customers within your assigned segment Operate a high-touch, deeply embedded engagement model-this is not transactional account management Build executive-level trust while staying close to day-to-day technical realities Infrastructure Performance & Optimization Help drive health, performance, and efficiency of large-scale OCI environments and compute fleets Help drive meaningful improvements in utilization, cost efficiency, and architectural design Act as the escalation quarterback. When things break, you bring clarity and resolution fast Capacity, Supply & Scale Planning Translate customer growth projections into real infrastructure plans (compute, storage, networking) Anticipate constraints before they happen. Capacity is your problem to solve, not react to De-risk large-scale deployments by aligning supply with demand across global regions Cross-Functional Execution Leadership Orchestrate

Senior Software Developer – Healthcare Analytics & AI United States, US About the Role At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems. You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery. Key Responsibilities • Build and enhance data pipelines, ETL workflows, and transformations. • Contribute to LLM/agent-based features and analytics use cases. • Work with EHR/RCM datasets and support KPI/dashboard development. • Learn and apply best practices in cloud, data engineering, and LLMOps. Mandatory Qualifications: • BS/MS in in Computer Science or equivalent. • 5+ years of relevant software engineering experience. • Strong software engineering skills in Python/Java. • Strong knowledge of SQL. • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL) • Experience building high-scale distributed data systems. • Cloud experience (OCI/AWS/Azure). •

Principal AI/ ML Ops Engineer United States, US At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems. You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery. Qualifications: • BS/MS in in Computer Science or equivalent. • 8+ years of relevant software engineering experience. • Strong software engineering skills in Python/Java. • Strong knowledge of SQL. • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL) • Experience building high-scale distributed data systems. • Cloud experience (OCI/AWS/Azure). • Demonstrated competence as a Technical Lead / System Design of a non-trivial SaaS/IaaS project spanning multiple functional areas. • Demonstrated competence in taking ambiguous functional and/or product requirements and partitioning them based on functional alignment. • Experience with working with technical partners to translate ambiguous requirements into actionable technical

Senior Principal Applied Scientist (OCI/GEN AI) United States, US At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. The Oracle Cloud Infrastructure (OCI) Generative AI science team is responsible for growing OCI's Generative AI, Agent and Analytics services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI, Database and Analytics. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, Data Agent, Analytics solutions and services that delight our customers with the confidence that their data is safe and protected. Career Level - IC5 We are seeking an exceptional applied scientist to work on innovative Generative AI & Data Analytics modeling research and development efforts. As a Senior Principal Applied Scientist in Generative AI Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of

Scaled Services Strategy and Operations Manager III, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Lead, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $186000 - $270000

Global Demand Management Expert - Data & AI Country USA | Internal Posting Location Chicago We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary: Lead the definition and execution of global demand planning and steering for AI Agents and Intelligent Packages across SAP's Data & AI portfolio. Translate strategy into integrated, measurable demand programs that drive pipeline generation, customer activation, consumption, and expansion at scale. This role ensures SAP's Data & AI offerings achieve programmatic, scalable demand across launches and scaled consumption-directly impacting pipeline, customer value realization, and revenue growth. What you'll do Define and own the global demand strategy and ambitions (pipeline, activation, consumption) for AI Agents and Intelligent Packages. Convert Data & AI GTM priorities into Integrated Demand Programs (IDPs) and standardized KPIs. Orchestrate global launches, field activation, and post-launch scaling; enable regions to localize into a single DG Action Plan. Align cross-functional stakeholders (Sales, Marketing, Partners, Services, Digital Hub, Customer Success) to prevent frag

Principal Software Engineer - AI Integrations Seattle, WA, United States, US Oracle Cloud Infrastructure (OCI) is building the next generation of AI native engineering systems powering cloud operations, infrastructure automation, and operator productivity at scale. We are looking for a Principal Software Development Engineer (IC4) who operates as an AI native builder. This is not a traditional software engineering role centered on manual coding. Engineers on this team use AI assisted development, coding agents, and automation first workflows as the default mode of software creation. This role focuses on rapidly building intelligent systems, internal platforms, operational tooling, and cloud native services using modern AI driven engineering practices. You will work across distributed systems, automation platforms, developer experience, and operational intelligence to dramatically improve engineering velocity, reliability, and scale. Engineers on this team are expected to deeply integrate LLMs, coding copilots, agentic IDEs, and AI orchestration workflows into their daily development process. Success in this role is measured not only by code written, but by the ability to effectively leverage AI systems to accelerate delivery, automate repetitive engineering work, and solve high impact operational problems. As a Principal Software Development Engineer, you will: Design and build scalable cloud native systems, automation platforms, and intelligent operational tooling. Use AI assisted development workflows as the primary engineering model for software design, implementation, debugging, testing, and documentation. Build systems where humans supervise and orchestrate intelligent automation rather than manually executing repetitive engineering tasks. Rapidly prototype and productionize solutions using modern AI native development environments

Senior Software Engineer, Agentic AI Systems, Cloud Security San Francisco, CA, USA 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. As a part of Google Cloud Security, you will be redefining security for the new AI era. Your goal is to deliver highly differentiated and Google-scale agentic defense to empower customers to defend their enterprises at machine scale and speed. You will be at the forefront of revolutionizing the Google Security Operations (SecOps) through the power of artificial intelligence. You will be part of a team of talented engineers and applied scientists in building the next-generation of Security Agentic AI systems that will protect major organizations worldwide. As a Senior Software Engineer, you will contribute to the research, design, development,

Senior Software Engineer, AI Powered GRC Automation Sunnyvale, CA, USA; +5 more 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. We are looking for a creative and driven Software Engineer to help us build the next generation of Governance, Risk, and Compliance (GRC) solutions. Our team's mission is to leverage the power of AI and platform engineering to automate and scale critical functions like continuous controls monitoring (CCM), audit readiness, and risk management for Google's cloud and infrastructure. You will have the opportunity to work with advanced AI technologies, large-scale data systems, and collaborate with experts across security, compliance, and product teams to deliver transformational solutions. Individual pay is determined by factors including job-related skills, experience, and relevant education or

Software Engineering Manager II, AI/ML GenAI, Google Cloud AI Sunnyvale, CA, USA Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Senior Principal Engineer - AI Networking Seattle, WA, United States, US You will work at the intersection of distributed systems, networking, and AI infrastructure, driving architecture, design, implementation, and performance optimization across software components that support thousands of GPUs and high-bandwidth network fabrics. The ideal candidate combines deep expertise in RDMA and distributed communication systems with a strong track record of delivering production-grade infrastructure at scale. As a technical leader, you will influence architecture across multiple teams, mentor senior engineers, and help shape the roadmap for Oracle's AI networking platform. What You'll Bring Ability to solve highly complex technical challenges spanning networking, distributed systems, and AI infrastructure. Strong system design skills with a focus on scalability, performance, and reliability. A data-driven approach to performance analysis and optimization. Excellent communication and collaboration skills across engineering organizations. Passion for building foundational technologies that enable the next generation of AI workloads. Key Responsibilities Architect and develop high-performance networking software for large-scale AI and HPC environments. Design and implement RDMA-based services and infrastructure that enable low-latency, high-throughput communication across GPU clusters. Drive the evolution of collective communication frameworks and transport layers used by distributed AI training and inference workloads. Develop congestion management, traffic engineering, load balancing, and resiliency mechanisms for large-scale RDMA networks. Optimize end-to-end communication performance across networking, GPU, and software stacks. Collaborate with hardware, networking, distributed systems, and AI platform teams to deliver scalable infrastructure solutions. Lead performance analysis, bottleneck identification, and system-wide optimization efforts. Define architecture and technical direction for networking

Security Software Engineer, Emerging On-prem AI infrastructure Reston, VA, USA 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. In this role, you will be ensuring security for Alphabet, partners, and people around the world as our customers deliver their critical mission. You will have a Google-level impact on the future of AI. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing

Senior Staff Software Engineer, AI Innovation Mountain View, CA, USA 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. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs,

Software Engineer III, AI Infrastructure Security Warsaw, Poland 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. Our team is building the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer - the next evolution of Google's AI accelerators hardware. This is a rare opportunity to join a "special project" team creating a novel solution for customers with sophisticated security and locality requirements. As part of our security team, you will be ensuring security for the Alphabet, partners, and people around the world as our customers deliver their critical mission. This is a once-in-a-lifetime chance to make a Google-level impact on the future of AI. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We

Software Engineer III, AI/ML GenAI, Google Cloud AI Sunnyvale, CA, USA; +1 more 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. The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology,

Senior Software Engineer, AI/ML GenAI, Google Cloud AI San Francisco, CA, USA; +1 more 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. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the

Software Engineer III, Full Stack, Cloud AI Bengaluru, Karnataka, India 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. The team is building Artificial Intelligence (AI)-powered agents using Gemini and the Agent Development Kit (ADK) to provide intuitive, conversational access to essential government services. In this role, you will work on Digital Public Infrastructure (DPI) projects in emerging markets, leveraging open network protocols to create interoperable systems for agriculture, education, healthcare, and more. You will drive national-scale digital transformation, making public services more accessible and efficient for millions.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems

Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI Sunnyvale, CA, USA Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Software Engineer (SWE/SWE II), AI Platform- Slack Washington - Seattle; Texas - Austin; Georgia - Atlanta; Washington - Bellevue About Slack AI Slack AI's mission is to transform how people work by making Slack an AI-powered operating system. We're tackling significant challenges like unlocking collective knowledge and reducing noise, all while building a seamless, consumer-grade AI experience within users' existing workflows. Join us in shaping the future of work through AI. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering - the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. About the Team The AI and ML Infrastructure team is part of Slack's Core Infrastructure organization and is responsible for the foundational systems that enable machine learning and AI across the company. The team designs, builds, and operates reliable, scalable, and high performance platforms that allow product and ML teams to develop, deploy, and operate AI driven capabilities with confidence. The team owns shared infrastructure, services, and tooling that support the full ML lifecycle, including model training, deployment, inference, and monitoring. As Slack AI continues to grow, the team is evolving from traditional ML deployments toward large scale, highly distributed model systems. This work involves deep architectural decisions around scalable model deployment strategies, real time feature serving at very high throughput, GPU accelerated inference at message scale, and

Staff Software Engineer, ML Quality, Applied AI Sunnyvale, CA, USA 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. The Agent Optimization and Augmentation team is building the operational support for Gemini Enterprise for Customer Experience. Our goal is to provide best customer interfaces with embedded multimodal intelligence, creating full-stack concierges capable of complex reasoning and seamless sales orchestration. We are focused on the meta-layer of AI, creating a suite of agents designed to build, test, and improve other agents. By leveraging Google's foundational AI (Gemini and Vertex AI), we are transforming agent development from a manual, iterative process into a precise and optimized engineering artifact. Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results