לוח משרות דרושים מתכנת ++C בחיפה

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.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
Design and build tests to verify that the System on a Chip (SoC) design meets those goals.
Develop and implement advanced technologies for running "benchmark representations" on pre-silicon environments.
Analyze complex problems, identify core design weaknesses, and drive the resolution of performance issues in both pre- and post-silicon environments.
Develop performance measurement frameworks, including Key Performance Indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making.

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 ML Systems and Cloud AI (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 xompany 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 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.

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.

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.The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Build C/C++ firmware running on embedded processors with limited memory footprints on the SoCs.
Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
Play key roles in emulation, chip bring up, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.
Create code generators to generate C++ code based on hardware specifications.

Do you love crafting elegant solutions to highly complex challenges? Can you intrinsically see the importance of every detail? our Platform Architecture group is responsible for connecting our hardware and software into one unified system. Join this team, and youll collaborate with engineers across us to build and deploy software systems that contribute to the development of our world-renowned hardware and software architecture.

You and your team will deliver tools and frameworks used by OS developers and hardware architects. Together, our work will be the reason millions of customers enjoy their devices every single day.

We are seeking a software engineer to build high-performance software models of advanced SoC designs and to help bridge the gap between Software and Hardware, influencing performance improvements, power efficiency, security, and the programming ease of our products.

Responsibilities
In this role, you will:
Develop software systems and tools used to bring up the future OS on future SoCs.
Support kernel and driver development on future processor & SoC models.
Work closely with software and hardware teams across product and research groups.
Promote new opportunities and techniques with other groups.

You will be responsible to create analysis tools to assist in architecture exploration. You will define and simulate CPU features and develop supporting tool chains including simulators, analysis tools, compiler, etc.. You will collaborate with SW and algorithm teams as well as implementation teams to define and build efficient CPUs that integrate seamlessly into various subsystems.
Responsibilities
Work with SW and algorithm teams for optimization and customization of ISAs, CPU architecture, and micro architecture features
Create and analyze benchmarks for CPU and SOC subsystem architectures
Develop architectural and performance simulators
Define and develop toolchain infrastructure

We are looking for talented Engineers to join our Virtual Platforms team.
Virtual platforms play a crucial role in accelerating the development process by enabling early Software development, System-Level testing, and architectural exploration without the constraints of physical prototypes.
As a Virtual Platform Engineer, you will:
Develop accurate and efficient simulation models of hardware components
Create and maintain Virtual Platform environments for software development and system-level validation
Debug and optimize complex hardware-software interactions
This role requires strong communication skills and a collaborative mindset, as you'll frequently interact with various teams across AWS to deliver optimal solutions.
If you are passionate about shaping the future of semiconductor technology and meet our qualifications, we invite you to join our dynamic team. Let's redefine what's possible together!

We are seeking a talented Software Engineer to build innovative internal systems and macOS native applications that power our next generation of products. You'll collaborate with a diverse, multi-disciplinary engineering team working across various domains and technologies, contributing directly to cutting-edge innovation.

In this role, you'll take ownership of the full development lifecycle: designing, analyzing, implementing, testing, and integrating features across both backend and frontend systems. You'll combine technical expertise with user-centered thinking, translating user needs into elegant, impactful solutions.

We are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

We are looking for a Core Database Developer (Database Internals) to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization at the center of the revolution in artificial intelligence, which is creating a hurricane of change.
We are looking for a talented Software Engineer to design, build, and optimize the core engine of our high-performance database system. This is a deep, systems-level role focused on the internal workings of a database. You will be responsible for creating the fundamental components that store, retrieve, and process data efficiently.
Key Responsibilities
Design & Develop Database Components: Implement and enhance core database features, including the storage engine, query execution engine, and transaction manager.
Optimize Performance: Work on low-level data structures (like B-Trees or LSM-Trees), concurrency control mechanisms (MVCC), and query optimization algorithms to improve speed and efficiency.
Build the Query Engine: Develop the system that parses, plans, and executes user queries against our data structures.
Ensure Reliability: Implement mechanisms for data recovery, consistency, and durability.

We are seeking a capable and experienced C++ Engineer to build high performance Linux software with strong modern C++ and CMake expertise. The Engineer will participate in developing an advanced multi-disciplinary system, which includes AI modules and interaction with HW interfaces and sensors. Responsibilities:
* Design and maintain C++services/libraries on Linux with focus on performance and reliability
* Own build system using CMake targets, toolchains and presets
* Improve build speed and reproducibility
* Profile/optimize CPU, memory, I/O, and concurrency; debug multithreaded issues
* Write unit/integration tests; use sanitizers/static analysis
* Contribute to CI pipelines and developer tooling

We are looking for outstanding candidates with hands-on experience in software development. If you are a team player with excellent communication skills and motivation to investigate state-of-the-art directions and revolutionize application performance, youre welcome on board!
What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research

We are looking for a Senior CPU Core Architect.
The CPU Architect will take charge in defining a processor core that meets the requirement of high performance, high bandwidth, and scalable processing architecture. This architect will utilize his processor experience to deliver a world-class processor ASIC with many advanced features for Huawei products.

We are looking for a CPU Core Architect representative.
The CPU core Architect representative will be a member of the processor core architecture team.
He will be responsible of the technical communication between the team in Israel and the team in China. He will be presenting and explaining Microarchitecture features developed by architects in Israel, collecting requirements, answering question.
He will be responsible to hold deign reviews with the team in China.
He will also be proposing new Micro architecture features based on his own ideas. take charge in defining a processor core that meets the requirement of high performance, high bandwidth, and scalable processing architecture.
This architect will utilize his processor experience to deliver a world-class processor ASIC with many advanced features for Huawei products.
The CPU core architect representative would be relocating to China for an extended period after getting familiar with the team in Israel.