דרושים » תוכנה » Research Team Lead - Distributed AI Systems & Large-Scale Infrastructure

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 Software Integration Team Lead (Hands-On Technical Lead) to join our AV group and drive SW deployment and integration for our companys next-generation autonomous vehicle platforms.
This role is ideal for a strong hands-on engineer who combines deep technical expertise with natural leadership abilities, taking ownership of complex integration efforts while actively contributing to system bring-up, debugging, and validation.
The position includes a balanced mix of hands-on integration work and team leadership, driving both execution and coordination across multidisciplinary teams.
What will your job look like?
Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.
Lead software deployment and integration activities for our companys next-generation AV platforms across complex HW/SW environments.
Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.
Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.
Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.
Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.
Serve as a technical focal point for integration challenges during validation and bring-up phases.
Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

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 looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team

we are looking for a Software Integration Team Lead (Hands-On Technical Lead) to join our AV group and drive SW deployment and integration for our companys next-generation autonomous vehicle platforms.
This role is ideal for a strong hands-on engineer who combines deep technical expertise with natural leadership abilities, taking ownership of complex integration efforts while actively contributing to system bring-up, debugging, and validation.
The position includes a balanced mix of hands-on integration work and team leadership, driving both execution and coordination across multidisciplinary teams.
What will your job look like?
Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.
Lead software deployment and integration activities for our companys next-generation AV platforms across complex HW/SW environments.
Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.
Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.
Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.
Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.
Serve as a technical focal point for integration challenges during validation and bring-up phases.
Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

Required Software Engineer III, Infrastructure
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

The Challenge Controp is a global leader in high-end EO/IR surveillance and defense solutions. As the AI team leader, you will bridge the gap between cutting-edge research and mission-critical hardware. You will lead an elite team of researchers and engineers to define the next generation of algorithmic capabilities for our stabilized payloads and autonomous systems.

we are looking for a Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design.
Responsibilities:
Conduct cutting-edge research on the co-design of communication and computation for wafer-scale systems. On the communication side, the work focuses on architecting Networks-on-Chip, providing scalable, high-bandwidth, and ultra-low-latency interconnects that efficiently span multiple dies and support fine-grained data movement. On the computation side, the research emphasizes optimizing and mapping training and inference workloads to fully exploit wafer-scale resources, improving performance, scalability, and energy efficiency through intelligent task placement and scheduling.
Investigate various aspects of system design, including:
Network-on-Chip design, further including Topology exploration, routing algorithms, and protocol/flow-control design to support high-throughput collective communication, low-latency synchronization, and efficient model/data parallelism
Expressing and Mapping LLM Parallelism to Wafer-Scale System that simplify LLM parallelism (e.g., tensor, pipeline, and data parallelism) and efficiently map training and inference workloads onto wafer-scale system

Required ChipDev CAD Engineer, Hardware, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Haifa, Israel; Tel Aviv, Israel.
About the job
Our Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions.
Create software solutions that improve the hardware design process through automation. Propose, design, and implement software automation that directly addresses bottlenecks in today's ASIC and SoC EDA flow.
Work directly with the hardware team on projects prototype and then deploy tools to make a positive impact on our chip hardware development process. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the issues and the impact on hardware and quality.

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.