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we are looking for a Research Team Software Engineer.

we are looking for a Agentic AI & Algorithms Team Lead.
As an Agentic AI & Algorithms Team Lead, you will lead a high-caliber team of AI engineers while staying hands-on in the codebase (~50%). You will also act as the Solution Architect for the algorithmic product, working closely with the CTO and VP Product with core influence on the product roadmap.
The AI is the core of the product, and the AI itself is the decision-maker. It performs diagnosis and root-cause analysis on complex, multi-source data (spectral, time-series, tabular, and more) to produce the conclusions the product delivers.
Key Responsibilities:
Lead and mentor a focused team of algorithm engineers and data scientists building AI Agents for production-grade, decision-making systems.
Own the Agentic AI solution architecture at the core of the company's flagship product: ensure the accuracy required for mission-critical decisions, design robust guardrails, and control token consumption and cost.
Act as Solution Architect: turn ambiguous customer or internal ideas into a concrete technical specification and a working implementation.
Spend ~50% of your time writing code, focused on high-risk, critical milestones such as researching and building POCs for novel algorithmic approaches.
Work directly with the CTO and VP Product to align the algorithmic strategy with the product roadmap and core capabilities, given the deep impact this role has on both.
Work directly with industrial domain experts to translate their specialized knowledge into the AI's decision logic.

In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.

Responsibilities
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and leads the development of computing cluster network technologies
Research and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsets.
Responsible for the research of data center network technologies, and guide network topology design and routing algorithm development
Group leadership:
Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutions.
Manage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goal.
Foster a collaborative and innovative work environment.
Provide technical guidance and support to team members.
Collaborate closely with cross-functional teams internationally, including hardware, software, and ucode design teams, to ensure alignment of architectural decisions with product and platform common objectives.
Initiate and supervise collaborations with top academic researchers in Israel and abroad.
Stay up to date with emerging technologies and industry trends in AI, HPC and big data industries.
Evaluate and recommend technologies and next generation projects.
Occasional travel related to ongoing projects, seminars, conferences etc.

we are looking for a Data Platform Engineering Team Leader
As a Data Platform Engineering Team Leader on the Infrastructure R&D Department in our Tel Aviv office, youll lead the engineering team behind the data platform powering reporting, billing, experimentation, ML training, and revenue optimization.
Youll shape the technical direction of one of our most critical platforms, grow exceptional engineers, and solve complex data infrastructure challenges at massive scale-building systems that are reliable, scalable, and easy to use.

we are looking for a Software Development Team Leader Production Engineering.
As a Software Development Team Leader Youll lead a team of strong engineers building the core platform behind one of the largest real-time recommendation systems in the world, with full ownership from design to production and the freedom to move fast and solve complex infrastructure challenges.1.4 billion users. 950,000 requests per second. 140TB of fresh data every day. 800M metrics every minute (for monitoring). Thats the scale Taboolas Production Engineering team operates at - and were looking for a Software Development Team Leader to help drive what comes next.

we are looking for a Software Engineering Team Lead.
You will own the AI platform across all Sedric product lines - customer-facing policy configuration, internal tooling, and the architectural decisions that determine whether we scale reliably or expensively. Your responsibilities include:
Lead an engineering team - own output, growth, and retention
Build and evolve agentic systems that make high-stakes compliance decisions at scale: 99% accuracy, low cost, high throughput
Set guardrails, change management practices, and engineering procedures that meet the expectations of tier-1 financial institutions
Own customer-facing policy workflows and internal tooling for Technical Account Managers
Partner with the Head of R&D on technical direction and hiring

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 innovation and deliver software-defined infrastructure and algorithms for HPC, AI/ML, and Big Data applications.
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 an experienced Software Team Leader to build and lead a new team focused on AI and agent technologies for enterprise data platforms.
This is a hands-on leadership role. The Team Leader will define the technical direction, build the first solutions, recruit engineers, and turn new AI ideas into production systems.
The main focus is AI agents, RAG, natural-language interaction, model integration, and intelligent workflows. Database technologies are an important foundation, but not the center of the role.

Responsibilities
Lead a new software engineering team.
Define the AI architecture, roadmap, and technical priorities.
Build AI agents that reason, use tools, and execute multi-step workflows.
Develop agent orchestration, state management, and workflow execution.
Build agent workflows for data analysis, automation, and decision support.
Integrate LLMs, embedding models, and model-serving platforms.
Develop tool and API integration for AI agents, including MCP where relevant.
Optimize AI systems for latency, throughput, cost, and scale.
Move successful prototypes into production-grade software.
Work closely with data, database, infrastructure, cloud, and product teams.

We build software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Full Stack Team Lead to own the technical direction of a product team - setting architecture, raising engineering standards, and shipping. Youll lead hands-on: writing code, guiding a small team of engineers, and partnering directly with clients (including large enterprise and banking environments). This is a role for someone who leads by example and treats modern AI-assisted development as a core part of the craft.
What youll do:
Own the technical design and architecture of full stack applications, end to end.
Lead a team of engineers - code reviews, mentoring, and raising delivery quality and velocity.
Stay hands-on: write production JavaScript/TypeScript across the React and Node.js stack.
Drive AI-first development practices (Claude Code, Cursor) across the team.
Work closely with clients and stakeholders to translate business needs into technical solutions.
Uphold engineering standards: testing, CI/CD, code quality, and delivery discipline.

Required AI IT Centre of Excellence Deploy Lead
Description
Join the company and help scale AI capabilities across the organization. As the AI IT Centre of Excellence (COE) Deploy Lead, you will own the methodologies, standards, and deployment practices that make AI implementation repeatable and reliable across Strauss.
You will act as the professional focal point for AI delivery - working alongside AI experts, data teams, software developers, architects, and business stakeholders to ensure consistent, high-quality delivery of AI initiatives while building organizational knowledge and capability.
Employment model: Israel-based, offshore/outsourcing engagement (not a buy-out).
Key Responsibilities:
Lead the deployment methodology, standards, and best practices of the AI IT Centre of Excellence (COE).
Guide and support development teams in the design, implementation, and adoption of AI solutions.
Serve as the professional focal point for AI delivery frameworks, tools, architectures, and implementation approaches across the organization.
Facilitate collaboration between AI experts, data teams, software development teams, architects, and technology stakeholders.
Provide training, coaching, and ongoing enablement for teams delivering AI initiatives.
Build and maintain AI playbooks, implementation guidelines, reference architectures, templates, and knowledge assets.
Drive consistency, quality, governance, and scalability across AI implementations.
Support project execution, manage dependencies, identify risks, and help teams overcome implementation challenges.
Lead AI knowledge-sharing activities, communities of practice, and professional development programs.

We are seeking a hands-on Tech Lead to join our Backend Engineering team and lead the shaping of the architecture and development of our Kubernetes-based platform. This role combines strong technical ownership with team leadership and is ideal for someone passionate about building complex systems and mentoring others. As a Tech Lead , you'll be a technical authority in everything cloud-native - leading feature development, making key architectural decisions, and collaborating with cross-functional teams to drive innovation.

Lead backend development efforts and serve as a key decision-maker on architecture, design, and implementation
Work closely with other engineers to develop robust, scalable, and efficient systems
Dive deep into Kubernetes, Go, microservices, and other backend technologies
Take technical ownership while mentoring engineers and promoting best practices
Collaborate with product and DevOps teams to ensure smooth feature delivery
Act as a thought leader and help shape ScaleOps' technology vision

Our company is seeking a Hardware Development Team Lead to lead cross-functional development and integration activities across the organization. The successful candidate will oversee collaboration between all engineering disciplines, including Hardware, RF, Software, and Firmware, while serving as the key interface with the Systems Engineering team.
Key Responsibilities:
Lead and directly manage a multidisciplinary engineering team developing complex systems, including Mechanical, Hardware, Firmware, and RF engineers, ensuring execution according to project plans, schedules, and objectives.
Lead end-to-end product development, including system architecture definition, technical oversight, prototype development, and design verification and validation (V&V).
Serve as the primary liaison between development engineers, the Systems Engineering team, and Project Managers.
Evaluate, introduce, and implement new development tools, methodologies, and emerging technologies.
Define priorities and allocate engineering tasks based on business needs, project requirements, and market considerations.
Establish engineering methodologies, development processes, project milestones, and required deliverables for internal design reviews (PDR, CDR, etc.).
Define engineering roles and responsibilities, recruit new team members, mentor engineers, conduct performance evaluations, and develop individualized professional growth plans.
Conduct routine management activities, including status meetings, management reviews, and project progress meetings.
Prepare technical responses for project tenders (RFPs), including technical proposals, effort estimation, and cost evaluation.
Provide technical support for both internal engineering challenges and customer-facing technical issues.
Lead internal and customer design reviews as required.

We're looking for a Full Stack Team Lead, backend-oriented, someone who can go deep on Python and distributed systems, stay comfortable enough in React to guide a team that owns both ends of the stack, and help shape how a small, fast-moving engineering team works and grows.



Key Responsibilities

Own backend architecture, APIs, and infrastructure end to end, with hands-on involvement in frontend work where needed.
Lead and grow a small team of engineers across different experience levels, from technical mentoring to career development.
Set the tone for incident response, on-call availability, and production reliability.
Adapt the team's direction as the company grows, and take the lead in shaping how the team works rather than just reacting to change.
Build a culture of open feedback, where the team's input genuinely shapes the roadmap.
Represent the team's needs to company leadership, including on how and where people work.
Participate in code reviews and design discussions, and mentor team members directly.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.