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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.

Requirements:
• B.Sc. in either Electrical Engineering, Computer Engineering, or equivalent degree from a recognized institution • 5+ years of experience in Digital VLSI design from micro-architecture through RTL implementation and verification • Experience with Digital design tools and environment • Experience in defining and reading Specification documents Advantages • Experience in Architecture definition at system and/or block levels • Experience in custom circuit design • RTL design experience using Verilog/SystemVerilog • Knowledge in o Digital Design and Verification tools and flows o Synthesis and P&R tools o Static-timing analysis o Power design and analysis o DFT concepts including Scan, MBIST, and ATPG o CDC/RDC design and verification • Experience in Design and/or Verification methodology definition • Experience with image sensor, video processing, or high-speed interface designs • Experience with UVM-based verification • Familiarity with scripting languages such as Python, TCL, or Perl • Experience with low-power design techniques • Experience mentoring engineers or leading technical activities Location: Bar-Lev, near Karmiel

Requirements:
• Professional Experience: 5+ years of experience in Data Analysis and interpretation, supporting Marketing, Product, or Business teams in fast-paced environments. • SQL: High proficiency in SQL is required, including working with large and complex datasets. • BI Systems: Strong experience with business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms. • Data Infrastructure: Experience working with modern data warehouse/data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery. • Python: Practical knowledge of Python for data analysis and automation workflows. • Communication: Excellent communication and stakeholder management skills, with the ability to present analytical insights clearly to both technical and business audiences. • Execution: Ability to work independently, prioritize effectively, and drive data-informed decisions in a dynamic environment with tight deadlines.
Key Advantages (Nice to Have): • Experience working in B2C or performance marketing environments. • Experience building and maintaining ETL processes. • Experience working closely with Data Science teams on experimentation and optimization initiatives. • Experience leveraging Agentic AI technologies to enhance analytics workflows, automate insights generation, and support data-driven decision-making. Good to know: •• We work in a hybrid model: 3 days from the office and 2 days from home