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As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, were 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.

Responsibilities
Author research papers to share and generate impact of research results across the team and in the research community.
Help in growing research business across teams by sharing research trends and practices within the community.
Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing research strategy and plans to expand the impact of Google research with some guidance.
Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's servicesboth our internally critical and our externally-visible systemshave reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SREs will keep an ever-watchful eye on our systems capacity and performance.


Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, youll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Responsibilities
Improve the life-cycle of services from inception and design, through deployment, operation, and refinement.
Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health, and lead sustainable incident response.
Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. You will correlate performance projections with measured post-silicon data.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Hardware Engineer, you will design and build the hardware, software, and networking technologies that power all of Google's services. You will work on everything from low-level circuit design to large system architecture, overseeing the development process all the way through to manufacturing. Your work will shape the machinery used in Google's data centers, impacting millions of users worldwide.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
Define, develop and execute post-silicon validation content on both pre-silicon setups and real silicon platforms in the lab.
Drive silicon from being a chip towards becoming a product.
Debug and investigate issues along cross-functional teams such as Firmware (FW), Software (SW), Design, DV, ARCH and multiple production teams.
Provide quality functional coverage for Google designs.

Production Engineers at Meta are software engineers who focus on the reliability, scalability, performance, privacy and security of Meta Products - such as WhatsApp, Instagram or Messenger and our business platforms such as Ads, Business Messaging and Commerce.

Through a deep understanding of production services, and a passion for automation, they allow our product teams to deliver new features quickly while maintaining an awesome user experience. They are embedded in Meta's product teams and are core participants in every significant engineering effort.

Our team members come with varying levels of experience and wide-ranging backgrounds. Relevant industry experience is important (Software Engineer, Site Reliability Engineer (SRE), Systems Engineer, DevOps Engineer, Network Engineer, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude. We sail into uncharted waters every day at Meta in Production Engineering, and we are always learning.

This position is full time based in our Tel-Aviv offices.
Production Engineer (University Grad) Responsibilities
Develop a strong understanding of relevant product area, codebase, and/or systems
Demonstrate proficiency in data analysis, programming and software engineering
Produce high quality code with good test coverage, using modern abstractions and frameworks
Work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills
Master Metas development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity
Actively seek and give feedback in alignment with Metas Performance Philosophy

Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of Meta FAIR's CodeGen research is to advance the state of AI through open science innovations. We explore, design, and conduct fundamental research on Code Generation and Computational World Modeling at scale with usability, efficiency, and sustainability as design principles.
Research Engineer, CodeGen - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines. Specifically, Contribute research that leads to innovations in Code Generation, Code World Modeling, Agentic Code Generation, Math Reasoning, etc.
Perform research that enables learning the code data (images, video, text, code, audio, and other modalities).
Devise better data-driven models of AI code generation systems.
Work towards long-term research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

Production Engineers at Meta are hybrid software/systems engineers who ensure that Meta's services run smoothly and have the capacity for future growth. They are embedded in every one of Facebook's product and infrastructure teams, and are core participants in every significant engineering effort underway in the company.

Our team members come with varying levels of experience and backgrounds. Relevant industry experience is important (Software Engineer, Site Reliability Engineer (SRE), Systems Engineer, DevOps Engineer, Network Engineer, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude. We sail into uncharted waters every day at Meta in Production Engineering, and we are always learning.

This position is full-time.
Production Engineer Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of Metas underlying infrastructure and network.
Write and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the world.
Together with your engineering team, you will share an on-call rotation and be an escalation contact for live service incidents.
Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by billions of users all around the world.