דרושים » תוכנה » Core Database Developer (Database Internals)

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.

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.
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 our company platforms, we make our company'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 our company possible.
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 customers , 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
Design, develop, test, deploy, maintain, and improve SOC software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software architecture teams, SOC performance modeling team, and other company software 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 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 company , 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
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 customers, 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.

We seek a motivated and detail-oriented student to join our SW-ALGO team. In this role, you will be supporting the development and validation of signal processing algorithms and software, working mainly in C++, but also some Matlab and Python. You will collaborate closely with our SW algorithm engineers and system engineers. Our team works on cutting-edge digital communications projects, aiming to develop innovative signal processing algorithms and software.

This exciting part-time opportunity is based in our Haifa office and requires a minimum of two on-site workdays per week. Candidates should have at least four semesters remaining before completing their studies.

Responsibilities:
Assist in the development and testing process of SW algorithms, ensuring accuracy and reliability, including bit-exact testing.
Develop and maintain scripts and automation tools to streamline processes.
Participate in laboratory and experimental activities, including setup and data collection.
Debug complex SW issues through log analysis and on-target testing and find SW solutions.

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