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XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XMCyber platform enables companies to rapidly prioritize andrespond to cyber risks affecting their business-sensitive systems. About the role: Are you a super-talent Senior Software Engineer with a deep passion for cybersecurity and a profound understanding of AI-driven attack techniques? We are looking for a highly professional and responsible R&D member to join our team. This role is for someone who thrives on technical challenges and is ready to leverage their expertise to identify, analyze, and defend against advanced cyber threat Responsibilities: As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:
* Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
* Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
* Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
* Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.

You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on NPUs.



What will you do:

Develop and enhance AI graph compiler components targeting NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.

Key Responsibilities:

Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

We are looking for a talented Senior Backend Developer to join our growing team and lead the architecture and scaling of our real-time, high-performance platform. You will be responsible for designing and implementing critical backend systems that support millions of users while ensuring ultra-low latency, high availability, and seamless performance.

This is a high-impact role where you'll work on cutting-edge backend solutions for cloud-scale gaming infrastructure.

What You'll Do

Architect and develop highly scalable, distributed backend services to support real-time gaming interactions.
Optimize performance and reduce latency in microservices-based architectures handling millions of concurrent users.
Ensure high availability, fault tolerance, and efficient resource utilization in a cloud-based environment.
Design and implement high-throughput data pipelines for real-time event processing.
Develop and manage robust APIs, databases, and caching layers to efficiently handle gaming sessions.
Work in an agile, fast-paced environment, taking ownership of core backend services.
Mentor and guide team members, fostering engineering excellence and knowledge sharing.

We are seeking a Backend Team Lead to spearhead the development of ludeo.ai, our GenAI-powered product that enables users to generate interactive (gaming experiences) directly from prompts or video content. This is a high-impact leadership role at the intersection of backend architecture, multimodal AI, and real-time systems. You will architect and lead the AI engine that transforms unstructured inputs (text/video) into structured, interactive gaming playable moments.

What Youll Do

Lead & Mentor: Build and manage a high-performing backend/AI engineering team, drive architectural decisions, and foster rapid innovation while maintaining production-grade reliability.
Design AI-Native Systems: Architect scalable microservices powering complex AI workflows. Design and implement Retrieval-Augmented Generation (RAG) pipelines, embedding strategies, and vector database infrastructure (e.g., Pinecone, Weaviate, Milvus, PGVector). Optimize retrieval, prompt orchestration, latency, and cost.
Agentic Workflows: Design multi-agent systems using planner/executor/tool-calling patterns. Implement stateful, multi-step AI workflows with frameworks such as LangChain, CrewAI, AutoGen, or similar. Build evaluation, observability, and safety mechanisms for LLM systems.
Multimodal AI: Integrate multimodal models (vision + text) to understand video and translate it into structured form.
Scale & Infrastructure: Ensure robustness, security, and high availability on AWS/Kubernetes. Design distributed systems that handle real-time data and AI workloads efficiently.
Collaborate: Work closely with Product and Design to translate GenAI capabilities into stable, scalable production features.

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Take part in developing agentic capabilities.
Mentor, support, and guide junior team members, sharing expertise and fostering their professional development.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply and be responsible for best practices in data security, integrity, and performance across all systems.

Write clean, scalable, and reusable code while enforcing best practices around architecture, code reviews, and testing
Collaborate with product owners to understand requirements and take full ownership from design and implementation through test automation and production deployment.
Design and implement new systems and features while enhancing existing systems with new capabilities
Mentor colleagues and promote knowledge-sharing+

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.



What You'll Be Doing

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We are looking for a senior, hands-on Security Operations Lead to build, mature, and operate Zenitys detection, response, and corporate security capabilities. You will own the engineering, workflows, and processes that keep Zenity secure day-to-day, while continuously improving visibility, automation, and operational resilience across both corporate and production environments. This role requires a technical operator who can architect scalable detection and response pipelines, manage endpoint and identity security controls, streamline GTM security enablement, and collaborate across the company to reduce risk. You will balance strategic direction with hands-on execution-ensuring threats are identified quickly, incidents are handled effectively, and the organizations operational security posture remains strong as Zenity grows.
Responsibilities:
Own and mature Zenitys Detection & Response program, including alerting, triage workflows, incident playbooks, and end-to-end response processes.
Build and maintain detection logic, integrations, and automation across logging, SIEM, EDR, cloud telemetry, and internal monitoring systems.
Lead incident investigations, coordinate response across engineering and business teams, and ensure clear communication and post-incident reviews.
Manage Zenitys Corporate Security Program, including identity and access management, endpoint posture management, corporate data security controls, and DLP practices.
Oversee privileged access workflows and JIT access for corporate and production systems in alignment with least-privilege principles.
Partner with engineering teams to ensure production environments maintain strong security baselines, logging, and monitoring coverage.
Collaborate with GTM/Sales teams to support Security Enablement, including third-party security questionnaires, customer assurance needs, and auditor inquiries.
Build automation-first operational processes that reduce manual overhead and provide consistent, repeatable security outcomes.
Develop and refine detection and response runbooks, escalation paths, and cross-team coordination models.
Maintain and improve incident and operational metrics, dashboards, and KPIs to measure operational efficiency and threat coverage.
Drive the intake and prioritization of security operations requests through Jira and internal workflows.
Work closely with Product Security, Cloud/DevOps, and GRC to ensure shared visibility and aligned operational practices.
Identify operational security gaps, propose improvements, and lead implementation efforts across tooling, processes, and controls.
Promote a culture of proactive detection, fast response, and shared responsibility for organizational security.

we are looking for a Senior AI Engineer.
Responsibilities:
Identify high-impact opportunities to leverage AI and AI agents to automate and optimize internal workflows.
Design, architect, and implement end-to-end AI-driven solutions - from problem definition to production deployment and adoption.
Integrate AI systems with internal platforms, services, APIs, and third-party tools.
Collaborate with technical and non-technical stakeholders to translate business needs into practical, scalable solutions.
Take full ownership of solutions, including iteration, performance optimization, monitoring, and long-term maintenance.
Evaluate and adopt new AI tools, frameworks, and methodologies with a pragmatic, business-oriented approach.

we are looking for a Senior Backend Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principles
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews, and Code Reviews

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.
Responsibilities:
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

we are looking for a Senior Software Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart.
You will write code, build functional prototypes, and own critical services from inception to production.
This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.