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we are looking for a R&D Team Leader.
What You'll Do:
Lead and manage a cross-functional R&D team of 5-7 engineers, including backend (Python), frontend (Angular), and QA engineers
Own end-to-end product development, from initial requirements and design, through development, testing, deployment, and production monitoring & troubleshooting
Provide hands-on technical leadership, including architecture design, coding when needed, and thorough code reviews
Work closely with Product Managers and Architects to define scope, prioritize backlog, and deliver high-quality features
Drive engineering best practices: clean code, testing, CI/CD, performance, reliability, and security
Be accountable for team delivery, quality, velocity, and stability
Define team goals, KPIs, and success metrics
Mentor and develop team members, supporting their professional and technical growth
Participate in hiring, onboarding, and training of new team members
Actively monitor production systems, lead incident response, root-cause analysis, and continuous improvement

It starts with you - an AI Engineering Team Lead responsible for leading a team building production-grade agentic systems. This role combines hands-on technical leadership with people management, ownership of architecture, delivery, and quality across agents, MCP tools, agentic workflows, RAG systems, and evaluation.
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you.
:Responsibilities
Lead and mentor a team of AI Engineers building agentic systems and MCP tools.
Own technical direction for agent architectures, workflows, and LLM evals.
Review designs and code; ensure production readiness, reliability, and security.
Drive adoption of frameworks such as LangChain, LangGraph, or equivalent.
Set standards for RAG pipelines, vector databases, and retrieval quality.
Partner with product and platform teams on roadmap, scope, and delivery.
Balance hands-on contribution with people management and execution.
Build a culture of strong engineering practices, measurement, and iteration.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design and optimize LLM serving infrastructure using inference engines (vLLM, TensorRT-LLM, Triton Inference Server)
Implement and tune distributed inference strategies including tensor parallelism, pipeline parallelism, and multi-node serving
Develop and apply model compression techniques to optimize cost, latency, and memory footprint while maintaining model quality
Build self-service fine-tuning platforms that enable data scientists to run experiments (LoRA, QLoRA, full fine-tuning) in a standardized, reproducible, and governed manner
Optimize inference performance through batching strategies, KV-cache tuning, and speculative decoding
Develop reusable APIs, abstractions, and platform services for model deployment, scaling, and lifecycle management
Collaborate with AI researchers and product teams to productionize models and meet latency/throughput requirements
Evaluate and benchmark new model architectures, compression methods, and serving frameworks

It starts with you - ML Engineering Team Lead responsible for leading a team delivering end-to-end ML systems. This role combines people management with ownership of model training, evaluation, deployment, and ML platform standards
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you. :
: Responsibilities
Lead and mentor ML Engineers delivering production ML systems.
Own technical direction for model architectures, training pipelines, and evals.
Review designs and code; ensure scalability, reliability, and data quality.
Define standards for experimentation, reproducibility, and monitoring.
Partner with product and platform teams on roadmap and prioritization.
Balance hands-on technical contribution with people management.
Build a culture of measurement, rigor, and continuous improvement.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads

It starts with you - an engineer driven to build modern, real-time data platforms that help teams move faster with trust. You care about great service, performance, and cost. Youll architect and ship a top-of-the-line open streaming data lake/lakehouse and data stack, turning massive threat signals into intuitive, self-serve data and fast retrieval for humans and AI agents - powering a unified foundation for AI-driven mission-critical workflows across cloud and on-prem.
If you want to make a meaningful impact, join mission and build best-in-class data systems that move the world forward - this role is for you.
:Responsibilities
Build self-serve platform surfaces (APIs, specs, CLI/UI) for streaming and batch pipelines with correctness, safe replay/backfills, and CDC.
Run the open data lake/lakehouse across cloud and on-prem; enable schema evolution and time travel; tune partitioning and compaction to balance latency, freshness, and cost.
Provide serving and storage across real-time OLAP, OLTP, document engines, and vector databases.
Own the data layer for AI - trusted datasets for training and inference, feature and embedding storage, RAG-ready collections, and foundational building blocks that accelerate AI development across the organization.
Enable AI-native capabilities - support agentic pipelines, self-tuning processes, and secure sandboxing for model experimentation and deployment.
Make catalog, lineage, observability, and governance first-class - with clear ownership, freshness SLAs, and access controls.
Improve performance and cost by tuning runtimes and I/O, profiling bottlenecks, planning capacity, and keeping spend predictable.
Ship paved-road tooling - shared libraries, templates, CI/CD, IaC, and runbooks - while collaborating across AI, ML, Data Science, Engineering, Product, and DevOps. Own architecture, documentation, and operations end-to-end.

we are looking for a Senior Data Scientist - AI Research Group.
:Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.

we are looking for a Senior NLP Researcher.
:Responsibilities
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
:Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

Were on the lookup for a senior backend engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Architect and build scalable, high-performance backend system that enables real-time threat detection platform and find state-sponsored attacks.
: Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead processes, drive initiatives end-to-end, and contribute to a collaborative, positive team culture.

We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions.
:Responsibilities
Build the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot issues in our development, production, and test environments
Excellent communication and people skills
Work well in a team!

We are on the lookout for an experienced engineer to join our DevOps team who is passionate about software design, development, and deployment.
The role focuses on designing, building, and maintaining production-grade cloud solutions, ensuring scalability, reliability, and security. You will manage CI/CD pipelines, automate deployments, monitor system performance, and collaborate across development teams to deliver resilient infrastructure in a rapidly evolving environment.
:Responsibilities
Collaborate closely with development teams to define and implement infrastructure requirements that support scalable, secure, and efficient operations.
Develop and maintain internal tools to automate workflows, streamline development processes, and enhance monitoring and operational efficiency.
Diagnose and resolve issues across development, testing, and production environments to ensure system stability and optimal performance.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world ML services and customer deployments. In this role, you'll own reliability, velocity, and cost efficiency for products and customer deployments.
:Responsibilities
Design, develop, build and maintain the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Work closely with our data scientists and developers to create training, inference and serving pipelines.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production, and test environments

As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

Were looking for a talented Embedded SW Engineer to join our innovative team. As a member of our team, you will be responsible to innovate, design and implement embedded software in C/C++ for our companys chipset.
Responsibilities
Design, implement and optimize the embedded software driving our companys chipset (drivers, middleware and application layer)
Collaborate with System architecture and Hardware groups to deliver quality system solutions
Optimize code for memory usage, performance, and power efficiency
Ensure compliance with Safety and Industry standards.