דרושים » תוכנה » Distributed Computing Software Engineer

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.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
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.

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.
In this role, you will use your ASIC design experience to be part of a team that develops the ASIC SoC from Plan of Record (POR) to Production. You will be creating SoC Level micro architecture definitions, Register-Transfer Level (RTL) coding and will do all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for test (dft) etc. You will face technical tests and develop/define design options for performance, power and area.
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
Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform RTL development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Participate in architecture feedback.

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.
In this role, you will use your Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops the ASIC SoC from Plan of Record (POR) to Production. You will be creating SoC Level micro architecture definitions, RTL coding and will do all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies. You will collaborate with members of architecture, software, verification, power, timing, synthesis dft etc. You will face technical tests and develop/define design options for performance, power and area.
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
Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Participate in architecture feedback.

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.
In this role, you will be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.You will also be responsible for performance analysis for a networking stack using your knowledge.
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
Lead an ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement data center networks.
Define hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

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.
In this role, you will be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.You will also be responsible for performance analysis for a networking stack.
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
Lead an ASIC subsystem.
Understand how ASIC subsystem interacts with software and other ASIC subsystems to implement data center networks.
Define hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Collaborate with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

our company's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets our company's standards of quality and reliability.
As a Senior SoC System Test Engineer, you will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices. You will drive yield improvement, cost optimization, and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will work with various groups to deploy screening methodologies and flows for data processing, analytics, and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
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
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, qualification strategies, and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Validate test solutions on system-level platforms and prepare for mass production.
Work with hardware and software teams to evaluate functional device yield and performance across various operating conditions.
Develop effective production screens to reduce Defective Parts per Million (DPPM).
Assess test escapees and localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, test, quality and reliability teams to identify root cause and implement corrective actions.

We develop the software architecture system and tools to enable state-of-the-art algorithms to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles.
Within the Compute Software group, we are responsible for all features above the operating system. This entails creating a diverse range of tools, libraries, and different work environments.
What will you do?
You will lead and develop various development tools, technologies and large-scale SW infrastructures for platform including simulators, data analysis, debugging tools and performance optimization tools.
You will get a deep understanding of HW architecture as well as end-to-end use cases and CV\DL algorithms.
You will work on different environments in the software stack including backend, middleware and frontend development.
You will consistently work and interact with multiple departments .
You will have a great chance to influence future generations of hardware and software stacks.

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 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
Lead a complex ASIC subsystem and understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define high-performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Implement designs in SystemVerilog.
Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

In this role, you will conduct Place and Route experiments and sensitivity analyses to influence standard cell library architecture, metal stack definitions, and design rules. You will collaborate with Foundry, IP, and Architecture teams to identify Power, Performance, and Area (PPA) bottlenecks and drive System Technology Co-Optimization (STCO) initiatives.
Your work will involve performing high-fidelity physical implementation sweeps, analyzing the impact of scaling boosters, and developing automated methodologies to quantify PPA gains. By navigating the trade-offs between process complexity and design performance, you will ensure our companys hardware achieves efficiency and power density.
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
Execute high-fidelity Place and Route experiments to evaluate the PPA impact of advanced process features, library architectures, and design rule variations on datacenter-class IP.
Drive Design Technology Co-Optimization by collaborating with foundries and internal technology teams to define optimal metal stacks, track heights, and scaling boosters (e.g., backside power delivery, buried power rails).
Quantify process entitlement through systematic benchmarking of logic and memory macros, identifying bottlenecks in power density and timing closure for next-generation nodes.
Develop automated physical design methodologies and flows to accelerate technology pathfinding and enable rapid what-if analysis of emerging transistor architectures.
Influence System Technology Co-Optimization by partnering with Hardware Architects and Circuit Designers to translate process-level innovations into system-level performance gains.