דרושים » אבטחת מידע וסייבר » Senior AI Engineer and Security Architect

Requirements:
MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
At least 5 years of experience.
Background in data center network protocols, threat modeling, and network security, as well as common mitigation techniques.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
Proven security research experience and publications in top security conferences.
Experience with high-scale deployment challenges, RDMA networking, and machine learning.
Architectural background in hardware and software systems codesign.

Requirements:
MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
5+ years of experience.
Background in memory forensics, introspection, operating systems, and file systems as well as common malware patterns and mitigation techniques.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
Demonstrated security research experience and publications in top security conferences.
Experience with high-scale deployment challenges, networking, and machine learning.
Architectural background in hardware and software systems codesign.

Requirements:
B.Sc. in Computer Science or a related engineering field
A minimum of 5+ years of professional software development experience, for which an advanced degree with a strong portfolio of peer-reviewed research, conference presentations, significant open-source contributions, or other demonstrated expertise may be considered an equivalent
Experience developing applications with Large Language Models (LLMs), demonstrated through professional work, significant open-source contributions, or advanced academic research projects
Familiarity with modern AI development frameworks (e.g., LangChain, LangGraph, LlamaIndex) and concepts (Agentic AI, MCP servers, etc.)
A collaborative mindset with excellent communication skills, and a passion for mentoring and learning from talented peers
Ways To Stand Out From The Crowd:
M.Sc. or Ph.D. in a relevant field, particularly with a focus on AI or distributed systems
Proven proficiency in both C++ and Python
Experience connecting AI agents to unstructured data sources (e.g., databases, Confluence APIs, knowledge graphs)
A background in data analysis and visualization (e.g., pandas, Jupyter).

Requirements:
BS/MS/Ph.D. in Computer Science, Electrical Engineering, or related technical field (or equivalent experience).
5+ years of experience in the security industry, with focus on system-level products spanning HW, FW, and SW.
Strong background in cryptography and security protocols, including Post-Quantum Cryptography (NIST PQC algorithms, TLS/IPsec integration, PKI migration) and emerging technologies like QKD, QRNG, secure enclaves, and quantum acceleration.
Solid understanding of Root of Trust (RoT) technologies, SoC architecture, and cryptographic acceleration.
Deep knowledge of networking and distributed system security protocols, with awareness of AI and other emerging technologies in system security.
Excellent communication and interpersonal skills, with ability to collaborate across multiple groups and influence technical direction.
Ways To Stand Out From The Crowd:
Proven experience implementing or deploying PQC algorithms in real systems.
Research or contributions to quantum security technologies (QKD, quantum RNG, hybrid classical/quantum protocols).
Active participation in global PQC standardization, industry consortia, or academic collaborations, demonstrating leadership in shaping the future of quantum-resilient security.
Experience engaging with customers, industry, and regulators on cryptography transitions and quantum-resilient roadmaps.

Requirements:
BS / MS / Ph.D. in EE or CS. Ph.D. in CS, EE (related technical field) or equivalent experience
5+ years of experience in the security industry, especially in System level products including HW, FW and SW components.
Familiarity with System on Chip (SOC) level design or architecture.
Background with system level threat modeling, risk management frameworks and risk mitigation techniques.
Experience with complex compute and networking systems security architecture and engineering
Excellent communication and interpersonal skills.
Ways to stand out from the crowd
Proven experience in technical customer-facing roles, presenting and discussing security and system architecture requirements and solutions.
Deep understanding of Cloud infrastructure use cases and security solutions
Demonstrated success in driving security innovation across the industry

Requirements:
Academic degree in computer science, electrical engineering, or related field. Candidates with equivalent experience will also be considered.
Demonstrated experience of 5+ years in security engineering.
Experience with secure development of AI applications.
Experience with secure usage of AI-based development tools.
Ability to lead significant changes in large-scale organization.
Ability to work independently, and collaboratively in a constantly evolving environment.
Excellent communication and interpersonal skills.
Ways to stand out from the crowd:
M.Sc. or PhD in computer science, electrical engineering, or related technical field.
Background in managing R&D teams.
Experience with high-scale deployment challenges.

Requirements:
B.Sc. in Computer Science or a related field.
5+ years of experience in backend software development, including system design and architecture.
Proficiency in at least one backend programming language (We write in Go).
Strong understanding of microservices architecture, RESTful APIs, and relational databases.
Deep familiarity with Kubernetes and the cloud-native ecosystem.
Demonstrated ability to tackle complex technical challenges and deliver high-quality solutions.
Ways to stand out from the crowd:
Expertise in Kubernetes internals and advanced cloud-native technologies.
Hands-on experience with HPC or AI/ML platforms.
Familiarity with AI inference workloads and performance optimization.
Proficiency in Linux, with knowledge in networking, security, storage, and virtualization.

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
An M.Sc. degree in computer science, statistics, or a related field is a must; a Ph.D. degree is an advantage.
At least 3 peer-reviewed publications in reputable academic journals or conferences.
5+ years of experience in leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity.
Experience and hands-on familiarity with distributed cloud systems.
Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs. Knowledge of programming languages that are used in AI researchlike Pythonand experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
Excellent communication (both written and verbal) and presentation skills.

Requirements:
A degree in Computer Science, Engineering, or a related field
5+ years of experience
Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software
Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.
Python programming and bash scripting experience.
Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
Deep knowledge of Networking Protocols like InfiniBand, Ethernet
Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)
Ways to stand out from the crowd:
Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)
Knowledge of CPU and/or GPU architecture
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, Cuda)
Background with RDMA (InfiniBand or RoCE) fabrics.