דרושים » חשמל ואלקטרוניקה » Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

We are looking for a SoC / IP Architect to shape the next revolution in electronics!
Responsibilities
Define and design architecture: Create the overall SoC/IP architecture based on product and customer requirements and define detailed technical specifications.
Collaborate with cross-functional teams: Work with a variety of teams, including logic design, verification, firmware architecture and development teams, and physical design, to ensure successful execution.
Lead technical discussions and architectural reviews, guiding design and verification teams to deliver scalable, high-quality implementations.
System-level integration: Ensure seamless hardware-software co-design by working on aspects like control paths, interrupt schemes, and debug infrastructure.
Drive architectural decisions that optimize scalability, and future readiness for next-generation applications.

We are seeking talented, creative and disciplined engineers to join the best-in-class team that plays a significant part in the development of new silicon for our eco-systems by engaging in a dynamic, highly collaborative environment. As a Wireless MAC System Architect, you will be a core member of our highly innovative and visible Wireless System-on-Chip (SoC) design team that defines modem architectures, develops MAC-layer algorithms, and invents embedded DSP algorithms for chips enabling exciting new wireless applications. You will be responsible for developing state-of-the-art wireless SoC products that are enjoyed by millions of our customers. Application areas include ultra-wideband sensing and specialized wireless audio; products enabled or improved by our teams SoCs include specialized audio headsets (such as AirPods), watches and iPhones.

In this role you will be responsible for the architecture of the Connectivity IP with focus on the MAC sub-system: - Define, document and Spec Connectivity MAC architecture and performance requirements.
- Analyze & simulate the performance of the Connectivity IP in real-life use-cases, achieving benchmarking performances in several metrics, including Throughput, Robustness, Co-existence with other Wireless IPs and more.
- Working closely with other architects (PHY, Power Management, FW and SW) to introduce best in class Connectivity IP solution.
- Develop innovative system architectures and protocols to deliver best-in-class performance for the MAC subsystem of custom wireless silicon solutions.
- Introduce cross-domain features where opportunities exist for innovation to achieve enhanced performance.
- Produce MAC architecture, specifications and corresponding performance/reference modeling in support of digital HW and FW design and verification efforts.
- Develop and maintain a MAC systems infrastructure applying the best methodologies for system-level simulation, pre-silicon prototyping (including emulation and FPGA prototyping), FW QA, regression and MTBF testing, and system verification to ensure first-time design success.
- Support the delivery of new wireless technologies to the Product Systems teams.

We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match - powering hundreds of thousands of businesses across 190 countries.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
* Full ownership of one or more IPs within the product:
- Micro-architecture definition.
- RTL coding and debug.
- Synthesis and timing closure.
- Sign-off before tape-out.
* Supporting the Verification and Emulation teams: Test plan development, coverage review.
* Ensuring the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

Required Senior System Engineer
Job Description Summary
As a Senior System Engineer, you will play a critical role in the design, development, integration, and verification of complex medical imaging systems. You will be responsible for translating clinical needs into technical requirements, ensuring the robust performance, safety, and regulatory compliance of our innovative healthcare solutions.
Job Responsibilities
Lead and participate in the full product lifecycle, from concept and requirements definition through design, development, testing, and deployment of medical imaging systems.
Translate high-level clinical and user requirements into detailed system and subsystem specifications, ensuring traceability and comprehensive coverage.
Perform complex system analysis, modeling, and simulation to optimize system performance, identify potential risks, and propose innovative solutions.
Collaborate closely with cross-functional teams including hardware, software, clinical, quality assurance, regulatory, and manufacturing engineers to ensure seamless integration and successful product delivery.
Define and execute system verification and validation plans, including test protocols, data analysis, and reporting, to ensure compliance with medical device regulations (e.g., FDA, CE).
Conduct root cause analysis for system-level issues, propose effective corrective actions, and drive their implementation.
Contribute to the continuous improvement of system engineering processes, tools, and methodologies within the organization.
Mentor junior engineers and provide technical guidance on complex system engineering challenges.
Stay abreast of industry trends, emerging technologies, and regulatory changes relevant to medical imaging systems.

We are seeking an Applied Science Manager to lead a team building our next-generation customer memory and personalization systems.

As an Applied Science Manager, you will lead a team of scientists working on LLM-powered memory and personalization systems. You will define the scientific direction for how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will ensure your team delivers high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will hire and develop scientists, raise the scientific bar, and foster a culture of ownership and rigor. You will partner closely with engineering and product teams to translate research into measurable customer impact, and represent your teams work to senior leadership.

We're looking for a talented SoC Integration Lead to join our Nitro team and help shape what comes next. You will spearhead the SoC integration activities of sophisticated networking chips, collaborating closely with Architecture, RTL Design, Physical Design, Package Design, Verification, Software, DFT, and additional teams in a dynamic, open, and fast-paced environment. As a member of the Nitro project, you will have influence over the device through its entire lifecycle from product definition to mass production. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match, powering hundreds of thousands of businesses across 190 countries.

Key job responsibilities
Take full ownership of SoC integration, including IPs development, partitioning, clock domain crossing (CDC), reset domain crossing (RDC), exploratory synthesis, and design quality verification.
Drive chip-level design implementation by partnering with multiple teams including Architecture, RTL Design, DFT, Verification, System Verification, STA, and Physical Design.
Oversee the creation of SoC-level IP blocks such as fabrics, interfaces, and security modules.
Lead RTL integration activities including micro-architecture definition, RTL coding and debug, synthesis and timing closure, and sign-off.
Address diverse functional and structural challenges, encompassing functional debugging, physical design preparation, emulation, and design quality issue resolution.
Contribute to the creation and implementation of design flows and automated solutions that facilitate efficient SoC development.
Support Verification and Emulation teams through test plan development and coverage review.
Ensure the chip meets quality and reliability standards while delivering to physical design teams, emulation platforms, firmware developers, and other stakeholders.

We are looking for a highly analytical, detail-oriented Innovation Expert to join our Open Innovation team. This role is ideal for an individual contributor operating at the intersection of deep tech, the startup ecosystem, and academia, with strong technology analytical skills, clear communication, and a foundational background in computer architecture research.
In this role, you will drive our external innovation strategy by managing academic research collaborations, scouting early-stage deep-tech startups, and conducting technical due diligence.
Key Responsibilities:
Academic Cooperation & Research Partnerships: Identify and build direct collaboration agreements with world-class professors, research labs, and universities. Facilitate joint research projects, tech-transfer initiatives, and track academic spin-offs.
Startup Scouting & Ecosystem Mapping: Actively identify, source, and map early-stage deep-tech startups and emerging tech companies globally within the companys strategic domains.
Technical Due Diligence: Evaluate startup technologies, product-market fit, and team capabilities. Analyze technical validity and assess how external innovations align with our internal roadmaps.
Ecosystem Analysis: Conduct deep-dive analyses of startup ecosystems, venture capital trends, and academic spin-offs to identify high-potential investment and collaboration opportunities.
Investment & Collaboration Support: Synthesize technical and commercial findings into clear, structured scouting reports, investment tech memos, and presentations for senior leadership to drive partnership or investment decisions.
Cross-Border Collaboration: Act as a bridge between startup founders, academic innovators, and internal global teams (including European and China-based business units) to facilitate joint POCs, or investment reviews.
Track Tech Domains: AI infrastructure, advanced semiconductors, hardware-software co-design, and AI data movement.

Research and Innovation Center, is looking for an experienced software engineer with expertise in Linux kernel and virtualization design + development to join our Future-Computing-Infrastructure expert group. The group designs and develops technologies for the next-generation data center aimed at accelerating AI workloads for a unique HW, optimizing compute resource utilization and reducing data-center costs. Our projects involve hardware and software architecture co-design. They require high-level system understanding, creativity and innovative thinking.
If you want to be part of something bigger, if you are a team player with excellent communication skills and motivation to revolutionize data-center technology, youre welcome on board!
What will you be doing?
Design and develop Linux kernel code related to virtual memory management and memory-tiering
Research, design and innovate methods, algorithms and supporting data-structures for managing memory hierarchies in virtualization environments
Participate in research to analyze AI-based applications performance, identify bottlenecks and optimize various decision-making mechanisms based on benchmarking results
Collaborate with professional team members and various global teams around the world on a daily basis
Challenged to think outside of the box and come up with creative ideas to deal with complex challenges within Linux kernel

We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.