לוח משרות דרושים מתכנת ++C בתל אביב יפו

We are seeking an exceptional Software Engineer to help design and build our next-generation Kubernetes based cloud platforms. Were looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure. Youll join a dynamic team developing high-performance computing infrastructure used in some of the worlds largest supercomputers and data centers. This is a fast-paced, collaborative environment where youll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.


What youll be doing:

Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using our advanced technologies (GPUs, DPUs, ConnectX).

Contribute to our AI supercomputing platforms.

Collaborate with cross-functional teams to deliver new features and improve existing products.

Support, maintain, and document robust software systems.

We are seeking a dedicated Firmware Engineer to join our NIC Firmware Core team in Beer-Sheva/Tel-Aviv. You will contribute to the development of brand-new networking adapter technologies, elevating the performance of current and future NVIDIA devices. NVIDIA develops innovative and next-generation networking devices that are known for their outstanding performance and power efficiency. The position involves all aspects of firmware development, including design, micro-architecture, software interfaces, and verification. We are seeking a dedicated and motivated engineer who will contribute to the development of advanced technology Network Adapters. You will also have the opportunity to create features for leading cloud computing providers and high-performance computing networks.

What youll be doing:

Take a part in the design, development, test, debug, and optimization of low-level firmware layer on next-generation network adapters up to package release.

Analyze, integrate, support, and debug low-level firmware layer on verification environments.

Collaborate with firmware, software, and architecture teams to analyze, design, and debug legacy and new low-level firmware flow.

Improve our team processes including design and implementation of new methodologies, automated processes.

We are searching for a highly motivated, excellent Software tech lead for design and verification to join the software tools group. You will design and develop tools that enable developers worldwide to harness the full power of our products. The successful candidate will show a strong background in C++ programming, strong documentation, and writing skills, take ownership of parts of the codebase, good communication and ability to integrate well as part of the team and organization, and motivated to solve sophisticated problems, developing tools for management, configuration and debug of all our networking products.

What you'll be doing:

As a valued member of the team, you will lead the tool technical roadmap, design and implementation of numerous features working in an Agile environment. You will write code in C, C++ and Python, in OOP methodology.

Technically lead development for cutting-edge network tools for our next-generation products.

Collaborate with cross-functional teams to define requirements and specifications to debug configure and manage the firmware.

Take ownership of the entire development process, from design to production and verification.

Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology and striving for the best quality and throughput.

As part of this role, you will:

Architect, design, implement, test, and deliver highly scalable products.

Master our development process, culture, and code base, then improve it.

Operate effectively in the hybrid engineering model where engineers are expected to be able to design and implement the necessary work to ensure quality in their own code as well as other engineers.

Mentor others in development technologies, tools, and processes

Present your own designs to internal/external groups and review the designs of others

Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics


JR315373

We are looking for a skilled developer with significant experience in creating algorithm-based systems, especially in complex environments. You will lead the technical development of a robust routing and scheduling service, working closely with US-based teams.

Responsibilities:

Lead Development: Take charge of the development process for the routing and scheduling services, ensuring it meets performance and efficiency requirements.

Algorithm Optimization: Apply your deep knowledge of C++ to optimize algorithms and data structures for efficient routing and scheduling.

AWS Cloud Integration: Utilize your expertise in AWS cloud services to design, deploy, and manage cloud-based components of the routing scheduling service.

Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and data scientists, to gather requirements, provide technical insights, and drive project success.

Code Quality: Maintain and improve the codebase by implementing best practices, code reviews, and refactoring when necessary.

Troubleshooting: Identify and resolve complex technical issues, ensuring the service's reliability and performance.

Documentation: Create and maintain documentation for code, design, and processes.


JR314436

we are looking for an End Point Protection Platform Group Lead to join us. As a Group Lead, you will play a key role in building Cynets resilient, cuttingedge XDR security solutions.
What will you do:
* Manage four Team Leads across lowlevel C ++ and.NET domains
* Aid, guide and provide hands-on leadership to a team of talented core Developers using C ++ and.NET
* Technically manage, mentor, review and improve the quality of the code and process
* Work closely with Product, QA and DevOps teams
* Manage the delivery of multiple, complex, simultaneous development projects from design to release
* Make key decisions to ensure the successful implementation of all initiatives

We are searching for a highly motivated, excellent Software Engineer for design and verification to join the software tools group. You will design and develop tools that enable developers worldwide to harness the full power of our products. The successful candidate will show a strong background in C++ programming, strong documentation, and writing skills, take ownership of parts of the codebase, good communication and ability to integrate well as part of the team and organization, and motivated to solve sophisticated problems, developing tools for management, configuration and debug of all our networking products.

What you'll be doing:

As a valued member of the team, you will be involved in the technical design and implementation of numerous features working in an Agile environment. You will write code in C, C++ and Python, in OOP methodology.

Develop tools for management, configuration and debug of our networking products.

Effectively estimate and prioritize tasks in order to create a realistic delivery schedule.

Write fast, effective, maintainable, reliable and well documented code.

Collaborate with multiple development teams on new features.

Provide peer reviews to other engineers.

Document designs, and review documents with stake holders.

Demonstrate growth in technical and non-technical abilities.

Prepare and develop test plans for new features.

Production Engineers (PEs) at our company are specialized software engineers who develop the underlying infrastructure for all of our company's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across our companys product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. Our PEs are embedded in teams across the spectrum from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds. Working alongside some of the best engineers in the industry, youll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at our company, we navigate uncharted waters daily solving problems at a scale few others face.
Production Engineer Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of our companys 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.

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 areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

our company was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at our company offers countless ways to make an impact in a fast growing organization. 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 areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Code Generation (PhD) (Tel Aviv) Responsibilities
Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

Central Applied Science (CAS) is a research and development team, working to improve our companys products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the company family of apps. The work we do enhances the company family of apps that enable billions of people to communicate with each other daily. Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at our company and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise. We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of our companys successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at our company. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of our company's unparalleled data infrastructure.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.

We are searching for a highly motivated, excellent Software Engineer for design and verification to join the software tools group. You will design and develop tools that enable developers worldwide to harness the full power of our products. The successful candidate will show a strong background in C++ programming, strong documentation, and writing skills, take ownership of parts of the codebase, good communication and ability to integrate well as part of the team and organization, and motivated to solve sophisticated problems, developing tools for management, configuration and debug of all our networking products.

What you'll be doing:

As a valued member of the team, you will be involved in the technical design and implementation of numerous features working in an Agile environment. You will write code in C, C++ and Python, in OOP methodology.

Develop tools for management, configuration and debug of our networking products.

Effectively estimate and prioritize tasks in order to create a realistic delivery schedule.

Write fast, effective, maintainable, reliable and well documented code.

Collaborate with multiple development teams on new features.

Provide peer reviews to other engineers.

Document designs, and review documents with stake holders.

Demonstrate growth in technical and non-technical abilities.

Prepare and develop test plans for new features.

We are looking for a highly experienced a hands-on Software Infrastructure Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Creating innovative infrastructure to help with modernizing coding, processes, and workflows.
Drive adoption of AI capabilities across chip design, verification and software teams.
Partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
Design and maintain multi-language code generation systems.
Evaluate and integrate new technologies to enhance developer workflows.

We are seeking a highly skilled Hands-On Engineer to join our Integration Team, ensuring seamless integration of multi-layered systems. This role requires close collaboration with cross-functional teams to debug, validate, and integrate complex interfaces while ensuring end-to-end functionality.
Key Responsibilities:
Integration of multi-disciplinary systems, ensuring smooth operation across different layers.
Debug and troubleshoot issues arising in the integration process.
Develop integration and validation tools.
Collaborate with architecture, logic design, verification, compiler, and embedded teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.