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Required Backend Software Engineer- Platform
Tel Aviv | R&D
As part of the role you will have the opportunity to:
Be part of team responsible for designing and implementing our next generation on-premise component that facilitates communication with our customer's IoT devices - a.k.a the native connector
Help develop & maintain the underlying infrastructure that enables scalable , cost-efficient & secure communication between our cloud-native platform and the Network components & IoT devices that reside on-premise
Research & develop features that allow remote management of components that reside on premise
Help develop & maintain our IoT agent-based embedded software solution that is deployed directly onto the IoT edge devices
Research & develop integration with various external 3rd party solutions in a cloud-to-cloud and cloud-to-on-premise formations using a variety of APIs, including REST, SDKs, and other network protocols
Develop new backend services in micro-service architecture and cloud-native best practices
Guide and mentor team members
Troubleshoot and resolve technical issues, ensuring seamless operation of our services & integrations.

Required DevOps Engineer
Tel Aviv | R&D
As part of the role you will have the opportunity to:
Be a member of a strong team responsible for all DevOps aspects in the company: Cloud infrastructure, CI/CD, Monitoring, DataOps, SecOps and cost management
Architect, automate and manage cloud infrastructure (Azure & AWS)
Implement SecOps best practices in all infrastructure and processes
Integrate visibility and alerting capabilities into infrastructure and processes
Improve and automate CI/CD pipelines.

Required Senior Backend Engineer
Tel Aviv | R&D
As part of the role you will have the opportunity to:
Research, design, maintain and develop core data infrastructure components
Analyze and optimize system performance, scalability, reliability, and data quality across a rich technology stack (Apache Kafka, Airflow, Storm, SQL/NoSQL databases)
Architect, design, and implement robust, performant distributed data systems (streaming and batch processing).
Collaborate with cross-functional teams to integrate data pipelines with AI/ML workflows and production monitoring systems.
Mentor and guide junior engineers, defining technical best practices and driving continuous improvements.
Work in a fast-paced startup environment, managing multiple priorities while maintaining high code quality and operational excellence.

Required Backend Software Engineer
Tel Aviv | R&D
As part of the role you will have the opportunity to:
Research, design, maintain and develop core data infrastructure components
Analyze and optimize system performance, scalability, reliability, and data quality across a rich technology stack (Apache Kafka, Airflow, Storm, SQL/NoSQL databases)
Architect, design, and implement robust, performant distributed data systems (streaming and batch processing).
Collaborate with cross-functional teams to integrate data pipelines with AI/ML workflows and production monitoring systems.
Work in a fast-paced startup environment, managing multiple priorities while maintaining high code quality and operational excellence.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.

We are looking for a Full-Stack Tech Lead to play a key role in building this new Cybersecurity unit from the ground up.
This is a highly impactful role for an engineer who can lead end-to-end development, own architecture, and turn advanced ideas into production-ready systems. The role combines hands-on full-stack development, technical leadership, and deep integration of LLM-based AI capabilities into cyber products.
Responsibilities
Lead design and development of full-stack cyber security products, from frontend to backend.
Own system architecture with focus on scale, performance, security, and reliability.
Design and implement AI-powered capabilities using LLMs.
Drive technical decisions and engineering best practices.
Mentor and guide engineers through design and code reviews.
Work closely with product and business stakeholders in a fast-growing unit.

We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).

We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.

As the AI Research Team Lead, you will lead a specialized team of researchers focused on high-performance AI systems, including GPU optimization, networking architectures, and collective communication strategies. You will define research directions, mentor the team, and collaborate closely with major industry players to align research with real-world applications and standards.
Key Responsibilities
● Lead and manage a team of AI researchers focused on GPU acceleration, networking, and collective communication.
● Define and execute research strategies aligned with company and industry goals.
● Conduct advanced research in AI infrastructure, distributed training, model optimization, and high-performance computing.
● Translate research findings into practical solutions for production-scale AI systems.
● Collaborate with leading industry companies to align research with emerging standards and real-world challenges.
● Identify bottlenecks, analysis and optimize in distributed GPU eco-system
● Participate in code reviews and technical design discussions.

we are seeking a senior AI Researcher to join its R&D group and lead the frontier of large-scale LLM optimization. You will focus on maximizing performance, scalability, and efficiency of LLM training and inference across massive GPU clusters, bridging deep learning research, distributed systems design, and hardware-aware optimization.
At our company, we treat AI performance as a systems problem. Just as we reinvented networking through disaggregation and software-defined scale, were applying the same philosophy to AI infrastructure. Your work will directly influence how large models are deployed, scaled, and optimized across high-density compute environments.
Key Responsibilities
● Conduct cutting-edge research in artificial intelligence and machine learning, from problem formulation to experimental validation.
● Research, design, implement and evaluate novel algorithms, models, optimization strategies and architectures across areas of large-scale LLM training and inference (e.g., tensor/pipeline/expert parallelisms, quantization, prefill/decode disaggregation, GPU communication optimization).
● Translate research ideas into working prototypes and production-ready solutions.
● Stay up to date with state-of-the-art research, frameworks, and emerging trends in the AI ecosystem.
● Publish research findings internally and externally (papers, technical reports, blog posts, or patents) and present results to internal and external technical audiences.
● Collaborate closely with engineers, product teams, and other researchers to align research with real- world impact
● Profile distributed training and inference pipelines - identifying algorithmic, memory, and scheduling inefficiencies to contribute to a technical decision-making and long-term research roadmaps.
● Validate research through measurable impact, higher throughput, better FLOPS utilization, improved convergence efficiency, or reduced compute cost.

We are establishing a new backend group that will take full ownership of a core application area.
We are looking for a Senior Backend Developer who will lead the backend effort end-to-end - from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution.
This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group.
We embrace an agile mindset - you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Take full ownership of the backend architecture for a major application area
Design and implement scalable, reliable, and maintainable backend systems
Lead technical design and decision-making, including technology and architecture choices
Work closely with product, frontend, platform, and other backend teams
Participate in product vision discussions, brainstorming, and planning sessions
Translate product requirements into robust technical solutions
Write high-quality, production-grade code
Drive debugging and root-cause analysis of complex production issues
Ensure best practices in performance, reliability, security, and observability
Mentor and technically guide other backend engineers as the group grows.