Required Software Engineer, Search
About the job
Our 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 our 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 Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Responsibilities
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Software Engineer III, AIX Inputs
About the job
Our 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 our 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.
We're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Responsibilities
Conduct in-depth loss analyses, data exploration, and prototyping to identify high-leverage opportunities and quality headroom across Factuality, Helpfulness, and Freshness.
Design and implement scalable systems, ranking formulations, ML scorers, and prompt/signal augmentations to improve input ranking and end-to-end context selection for AIO and AIM.
Evaluate the impact of context and ranking changes on both input-level metrics and downstream AI answer quality-driving changes from offline autorater evaluations through Live Experiments to full production launch.
Work across a wide breadth of systems spanning our iconic core Search retrieval and ranking stack through modern AI answer quality, ML modeling, and serving infrastructure such as MaRS and Gemini/Magi orchestration and evaluation pipelines
Partner closely with Web Ranking, 1P Verticals, Serving Infrastructure, and LLM Modeling teams to align Search signals and context engineering with evolving Gemini capabilities.

Required Software Engineer III, Technical Infrastructure
About the job
Our 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 our 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.
Responsibilities
Design, develop, and maintain advanced software modeling tools and simulation environments.
Leverage C++, Python, and experimental AI-driven methodologies to perform deep-dive studies and automate analytical workflows.
Conduct in-depth security analysis and threat modeling for hardware-software interfaces.
Develop and implement methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring our systems meet the highest standards of safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles. Contribute to expanding the team's suite of AI-assisted capabilities.

Required Software Engineer II, Notification Platform
About the job
Our 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 our 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 Core team builds the technical foundation behind our flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Help the team improve our offering to collaborators by implementing new features and abilities.
Design and build back-end services and pipelines.
Collaborate with other team members to solve complex problems across a large stack of technologies.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities:
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.

Required ML Hardware Achitect
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will help shape the future of Clouds next-generation AI infrastructure, architecting high-performance Machine Learning silicon designed to power hyperscale AI inference. You will have an opportunity to drive accelerator technology that powers Generative AI models, large language models (LLMs), and emerging agentic workloads where throughput, latency, memory bandwidth, and energy efficiency are mission-critical.
You will be part of a silicon architecture team pushing the boundaries of custom computing. Leveraging your deep expertise in hardware-software co-design, machine learning algorithms, and computer architecture, you will define and optimize custom compute engines and memory hierarchies that accelerate the world's most advanced AI models across Cloud datacenters.
Responsibilities
Lead the architectural definition, modeling, and specification of next-generation, high-performance ML compute IP and acceleration blocks for Cloud AI silicon.
Own the ML IP architecture specification throughout the entire product lifecycle: concept exploration, cycle-accurate modeling, implementation, silicon bring-up, and production.
Partner closely with leading AI research and algorithm teams (e.g., Google DeepMind, Gemini research teams) and software compiler teams (XLA, PyTorch) to explore architectural trade-offs and define hardware requirements for emerging model architectures.
Drive comprehensive architecture studies, evaluating compute dataflows, numerical formats, sparsity, and specialized acceleration mechanisms such as key-value (KV) cache optimization.
Drive performance, latency, power efficiency, and silicon area projections across model topologies and workload configurations.

The Algorithm Software Engineer will contribute to the design, implementation, testing, and performance optimization of tomographic image reconstruction software for our company Molecular Imaging scanners.
This is an exciting opportunity for an outstanding early-career engineer to work at the intersection of software, algorithms, high-performance computing, and medical imaging. We are looking for exceptional graduates with strong technical foundations, intellectual curiosity, and the ability to solve complex problems.
No prior professional experience is required. Academic, research, personal, or internship projects demonstrating strong technical capabilities are highly valued.
Job Description
Roles and Responsibilities
Develop and implement reconstruction algorithms and software tools in C++ within parallel CPU/GPU environments.
Collaborate with algorithm engineers and scientists to understand mathematical and physical algorithms and translate them into robust software solutions.
Contribute to the architecture and design of complex software components.
Collaborate with software teams to define interfaces between the reconstruction environment and other software subsystems.
Analyze and optimize software performance, runtime, and memory usage.
Write software requirements, design documents, and technical specifications.
Design and execute software unit tests.
Support the Verification & Validation team in defining and executing system testing plans.
Support technical investigations and field-related issues as needed.
Participate in code reviews and technical reviews.
Maintain configuration management and control of generated code.
Continuously learn and apply new technologies in software engineering, algorithms, and high-performance computing.

We are looking for a highly motivated and technically curious QA Engineer to join our Backend Infrastructure team on a 1-year fixed term contract. In this role, you will validate large-scale enterprise backend systems used in healthcare environments, ensuring quality, reliability, performance, and operational stability
Your role:
Design and execute functional, integration, system, regression, and end-to-end manual tests for backend infrastructure components and complex distributed systems.
Validate installation, upgrade, migration, configuration, backup, recovery, and deployment workflows across single-server, clustered, distributed, and cloud-based environments.
Work closely with software engineers, DevOps, automation teams, and product stakeholders to investigate failures, improve testing strategies, verify fixes, and contribute to reliable software releases.
Investigate Windows, IIS, networking, database, and service-level issues by analysing logs, diagnostics, system behaviour, and infrastructure dependencies.
Participate in reliability improvement initiatives, design reviews, and post-incident investigations to strengthen overall product quality throughout the development lifecycle.

We are looking for an Embedded Software Engineer to join the SW group and take a major part in redefining the future of AWS cloud.

Were searching for engineers with a passion for networking to develop SRD (Scalable Reliable Datagram). SRD is a high-performance, low-latency transport protocol used within our Web Services infrastructure to optimize network performance. SRD powers several high-impact, cutting-edge products, including on-demand ML and HPC platforms leveraging EFA, next-generation storage services built on EBS, and the future of AWS network traffic.

Key job responsibilities
As an Embedded Software Engineer on the SRD team, your primary responsibility will be to develop and optimize SRD technology across AWSs network infrastructure. You will work on cutting-edge, high-performance platforms that power ML, HPC, and storage-intensive workloads.

Your role will involve designing, deploying, and maintaining the SRD codebase, ensuring its reliability and scalability to meet the demands of diverse applications. You will gain in-depth knowledge of the various platforms and services running SRD within AWS, diving deep to understand their unique challenges and complexities.

Collaboration will be key, as you will work across multiple teams at different layers of the software stack. You will also contribute to defining new hardware modules and enabling offloads to enhance performance.