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Location: Hod Hasharon
Job Type: Full Time
We are looking for a highly analytical, detail-oriented Innovation Expert to join our Open Innovation team. This role is ideal for candidates who sit at the intersection of deep tech, startup ecosystem and academy, possessing strong technology analytical skills, clear communication, and a foundational background in computer architecture research.
In this role, you will drive our external innovation strategy by managing academic research collaborations, scouting early-stage deep-tech startups and conducting technical due diligence.
Key Responsibilities:
Academic Cooperation & Research Partnerships: Identify and build direct collaboration agreements with world-class professors, research labs, and universities. Facilitate joint research projects, tech-transfer initiatives, and track academic spin-offs.
Startup Scouting & Ecosystem Mapping: Actively identify, source, and map early-stage deep-tech startups and emerging tech companies globally within the companys strategic domains.
Technical Due Diligence: Evaluate startup technologies, product-market fit, and team capabilities. Analyze technical validity and assess how external innovations align with our internal roadmaps.
Ecosystem Analysis: Conduct deep-dive analyses of startup ecosystems, venture capital trends, and academic spin-offs to identify high-potential investment and collaboration opportunities.
Investment & Collaboration Support: Synthesize technical and commercial findings into clear, structured scouting reports, investment tech memos, and presentations for senior leadership to drive partnership or investment decisions.
Cross-Border Collaboration: Act as a bridge between startup founders, academic innovators, and internal global teams (including European and China-based business units) to facilitate joint POCs, or investment reviews.
Track Tech Domains: AI infrastructure, advanced semiconductors, hardware-software co-design, and AI data movement.
Requirements:
Education: MScs degree (or higher) in Computer Science, Software Engineering, Computer/Electrical Engineering, or a related deep-tech field.
Analytical & Due Diligence Skills: Strong ability to comprehend complex technical content, read academic papers, and evaluate startup pitch decks, market research, and technical documentation.
Communication Excellence: Highly skilled in translating technical data into high-impact summaries, landscape maps, and technical presentations.
Nice to Have:
Experience in academic-industry collaborations.
Experience working within a startup accelerator, venture capital firm, or corporate innovation hub.
This position is open to all candidates.
 
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Location: Hod Hasharon
Job Type: Full Time
We are looking for a Senior Linux Security Developer to design and develop security capabilities deep inside the Linux OS - kernel internals, eBPF, OS telemetry, enforcement mechanisms, and security agents. You will own architecture decisions, investigate new attack
surfaces, prototype novel approaches, and turn successful concepts into production technologies.
What You'll Do:
Design and implement high-performance Linux security components in kernel and user space (kernel modules, eBPF, system services, security agents), including tamper-resistant mechanisms for adversarial environments.
Build scalable Linux endpoint capabilities for telemetry, detection, prevention, and policy enforcement.
Investigate Linux kernel subsystems to find opportunities for new detection and prevention capabilities, including protection of AI-agent workloads (autonomous processes, tool execution, privilege usage, filesystem/network activity).
Translate research ideas into efficient, production-grade implementations (performance, concurrency, reliability, security), and mentor engineers in systems programming and Linux security.
Requirements:
6+ years of professional development with significant hands-on C and/or C++.
3+ years of Linux kernel development or low-level Linux systems development, with hands-on experience in eBPF/BPF, LSM, kernel tracing/instrumentation, or security frameworks.
Deep understanding of Linux internals: processes, memory management, scheduling, syscalls, filesystems, networking, kernel/user-space interaction, namespaces, containers.
Strong debugging and performance analysis skills ( gdb , perf , strace , ftrace ).
Strong concurrency, synchronization, memory management, and performance optimization, building software that runs reliably under high load and adversarial conditions.
3+ years in endpoint/host security, malware or vulnerability research, or runtime security.
Ability to independently investigate unfamiliar areas and turn findings into working prototypes; strong English communication skills.
Comfortable reading kernel and security source code, analyzing attacker techniques, and validating defenses against performance, coverage, and evasion.
AI-Assisted Engineering
We actively use AI-assisted development tools in our R&D workflow. Experience with AI
coding assistants and agentic tools is an advantage; we value the ability to critically validate
AI-generated code, especially in security-sensitive, low-level software.
Nice to Have:
EDR/XDR agents or endpoint telemetry systems
Linux exploitation, malware, rootkits, persistence, or evasion techniques
Linux security mechanisms: SELinux, AppArmor, seccomp, capabilities, cgroups, Landlock
Container and cloud workload security; exploitation mitigations or runtime security controls
Reverse engineering, vulnerability research
Contributions to the Linux kernel, eBPF, or open-source security ecosystem; M.Sc./Ph.D., published research, patents, or talks.
This position is open to all candidates.
 
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28/09/2026
Location: Hod Hasharon
Job Type: Full Time
We're looking for a hands-on DevOps engineer to design, automate, and operate the environments our platform runs in- public cloud alongside on-premises, including restricted and air-gapped customer sites, and to build them the way infrastructure gets built in 2026: as code, with AI agents doing much of the heavy lifting and your judgment deciding what actually ships.
Two things sit on your plate. The first is our R&D team: the pipelines, paved roads, and self-service tooling that let engineers ship several times a day without asking permission or holding their breath- increasingly built and maintained alongside AI agents rather than by hand. The second is where our software actually lands: customer environments that are rarely identical, often heavily locked down, and occasionally have no route to the internet at all. Making a modern, AI-powered platform run reliably inside those constraints is the genuinely interesting part of this job.
Requirements:
Experience: 5+ years in DevOps, Platform Engineering, or SRE, including ownership of production systems.
Debugging: Strong, systematic troubleshooting under production pressure - across Linux, networking, and Kubernetes.
Kubernetes: Real experience in both development and production environments (OpenShift an advantage).
CI/CD: Hands-on pipeline authoring (Jenkins an advantage - it's a meaningful part of our current stack).
Infrastructure as Code: IaC pipelines in practice (Terraform an advantage).
Cloud: A major cloud provider (Azure a plus).
Delivery tooling: Argo, Helm, Helmfile, or equivalent declarative deployment tooling.
Linux and scripting: Proficient in Linux, with Python or Bash.
Observability: Prometheus, Grafana, ELK, or similar.
AI-assisted workflow: Comfortable working with AI coding agents day to day- and clear-eyed about where they need supervision.
FinOps: Practical experience keeping cloud spend deliberate.
Nice to Have:
Experience running AI/ML or inference workloads (GPU scheduling, vLLM, KServe, Ray, vector databases).
Genuine appetite for new technology and continuous learning.
Strong judgment about production risk- you know which changes deserve caution.
Good with people. You'll work across R&D, support, and occasionally customer-side engineers.
This position is open to all candidates.
 
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