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Requirements:
Your Experience:
5+ years of direct people management experience leading software engineering teams in cloud SaaS or microservices environments.
8+ years of prior hands-on software development experience using .NET / C# (or Java/Go/Python) with strong foundational knowledge of modern cloud architecture (AWS).
Bachelors or Masters Degree in Computer Science, Software Engineering, or equivalent experience / IDF elite technology unit alumni.
Proven track record of building, hiring, and retaining strong engineering talent.
Demonstrated capability in driving agile execution, managing timelines, and handling complex technical dependencies.
Deep commitment to engineering quality, system reliability, security-by-design, and continuous improvement.
Strong communication and stakeholder management skills with fluent written and spoken English.
Preferred Qualifications:
Experience leading teams focused on Identity & Access Management (IAM), Directory Services, SSO, or Zero Trust cybersecurity platforms.
Hands on familiarity with AWS cloud services, Infrastructure as Code (AWS CDK or Terraform), and containerization (Docker, Kubernetes).
Experience managing engineering teams operating under strict security, compliance, and multi-region SaaS requirements.

Requirements:
4+ years of professional frontend development experience.
Proven experience applying AI-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring to maximize productivity and code quality.
Expert-level, hands-on experience with modern Angular development - Must.
Demonstrated experience building and maintaining large-scale, complex web applications, ideally including data-heavy and complex user interfaces.
Proficiency with TypeScript and modern JavaScript.
Solid command of RxJS and reactive programming principles.
Strong understanding of frontend performance optimization techniques and scalable architecture, including handling asynchronous data streams and complex state management.
Experience working in an agile, fast-paced environment.
Independent, proactive, and collaborative team player with a strong ownership mindset.
Experience with data visualization or UI animation - Advantage.
Familiarity with cybersecurity concepts and enterprise products - Advantage.

Requirements:
Bachelors or Masters degree in Electrical Engineering or a related field.
8+ years of hands-on experience in hardware board design.
3+ years of experience in a managerial role.
Strong foundation in digital circuits, power systems, and high-speed board design.
Broad system-level understanding, including HW/SW interfacing, validation, verification, DFT, and qualification.
Strong analytical skills with the ability to work independently and perform well under pressure.

Requirements:
8+ years of software engineering experience.
Experience in distributed cloud products.
Knowledge of the cyber field.
BSc in Computer Science or equivalent knowledge or equivalent military experience.
Preferred Qualifications
Experience with a variety of database technologies (e.g., MySQL, Cassandra, Google BigQuery, Amazon Redshift, Elasticsearch, Neo4J).
Experience in designing, building, and maintaining a scalable server-side application.
Proven experience in AI Workloads, including hands-on experience building and scaling AI/ML workloads, and familiarity with LLM orchestration and Model Serving.
Experience in Python.
Experience with Google Cloud Platform (GCP).
Experience with Kubernetes or Docker.

Requirements:
B.Sc. in Computer Science, Software Engineering, or a related technical field.
3+ years of software engineering experience in production environments.
Experience designing, building, or maintaining production systems with a broad system-level perspective.
Proven experience working on complex systems involving data processing, workflows, backend services, or infrastructure components.
Strong programming skills in Python.
Nice to have:
Experience with Kubernetes, Docker, or similar containerized environments.
Experience working with CI/CD processes and deployment pipelines.
Exposure to algorithm development environments or machine learning workflows.

Requirements:
Required Qualifications
A minimum of 3 years of relevant experience in technology, data analytics, generative AI, business intelligence, automation, cybersecurity, software engineering, IT risk and controls, technical implementation, technical consulting, technical program management, or a related technical or technology-focused role.
Bachelors degree in Computer Science, Software Engineering, Information Systems, Industrial Engineering, Accounting, another engineering or technical field, or a related quantitative field.
Demonstrated experience in building, configuring, or operationalizing GenAI or automation solutions.
Solid understanding of software architecture, data pipelines, SDLC, and system logic. Willingness and ability to learn audit and risk evaluation methodologies. Excellent verbal and written English communication skills, with proven ability to translate complex technical concepts for executive and non-technical stakeholders.
Demonstrated project management skills, with the ability to manage multiple tasks concurrently, interpret complex data to identify areas for improvement, and work effectively both independently and within a team.
Prior audit experience is NOT required.
Preferred Qualifications
Proven hands-on experience building, prototyping, or integrating software, data pipelines, automation workflows, or GenAI tools/agents (e.g., APIs, enterprise LLM frameworks)
Experience with AI-powered analytical tools.
Relevant certifications in technology audit, cybersecurity, cloud architecture, or AI and data technologies (e.g., CISA, CISSP, and relevant cloud provider certifications in AI or data).
Experience in technology risk consulting or corporate audits.

Requirements:
Minimum Qualifications
Outstanding team leading and communication skills and experience working with design and verification teams to identify FV candidates, develop test plans and perform data-centric verification closure.
Hands on experience with VLSI and digital logic design and verification techniques.
Advanced knowledge of SoC, CPU, GPU, or Cellular designs.
Developed formal property proofs on industrial strength designs and architectures.
Deep understanding of pipeline architectures, memory/DMA controllers, out-of-order and speculative instruction execution hardware, bus interconnects, and cache coherence mechanisms.
Confirmed understanding of formal verification technologies/abstraction techniques.
Knowledge and experience in interpreting hardware specifications and using
Temporal logic assertion-based languages such as SVA or PSL.
Experience in using EDA formal tools and tool development experience is a plus.
Proficiency in any scripting language with excellent debugging skills.
Extraordinary teammate with excellent interpersonal skills.
Passionate about developing world-class/innovative formal verification solutions.
Understanding of application processors (CPU/GPU), their Instruction Set Architectures (ISA), Memory Consistency Models (MCM) or Cache Coherence protocols is desirable but not necessary.
Exposure to ARM type architectures is desirable but not necessary.

Preferred Qualifications
MS / Ph.D in EE or CS is preferred.

Requirements:
BSc in electrical engineering, computer engineering or computer science.
7+ years of experience working in verification environment, tests, and test bench development (C/C++/SV).
TestPlan defining and Coverage-Driven Verification experience.
Fullchip/SOC verification experience, strong system understanding.
Good debug capabilities using the latest EDA tools.
Knowledge in Industry Standard protocols such as AXI/ACEL/OCP/CHI.
Nice to have:
SW embedded experience, C/C++ skills.
Strong skills in scripting Perl/Python.
System Verilog writing skills, preferably in OVM/UVM.
3rd-party IPs integration testing experience.

Requirements:
B.Sc. or higher degree in Electrical Engineering from a leading institution
3+ years experience in building emulation models, running tests on emulation machines, and debugging issues within the time constrictions of silicon design projects while handling multiple priorities
Experience with emulation platforms such as Palladium, Veloce, or Zebu, including compilation, debug, power, performance, and throughput tuning.
Familiarity with Linux environments
Experience with languages such as : C, C++, Perl, Ruby, System Verilog, Verilog, Make
Familiarity with interfaces such as PCIe, SPI, UART, ETH: advantage
Familiarity with embedded systems: advantage
Knowledge of FPGA: advantage

Requirements:
6+ years of experience in complex ASIC designs
VLSI expert with a deep understanding of chip architecture and design flows
Excellent interpersonal skills, able to drive colleagues to achieve the project goals
Experience in design for timing and power
Experience working with various front-end tools and flows (CDC, LINT, Synthesis, etc)
Experience in high frequency or CPU design - an advantage

Requirements:
B.Sc. in Electrical Engineering or Computer Science
5+ years of digital design experience with complex blocks
Ability to transform requirements into specification documents
Proven record in complex design
Experience in front-end tools and analysis: CDC, LINT, power, simulation
Team player, versatile and results-oriented
Experience in Floating-Point Unit is an advantage

Requirements:
Minimum Qualifications
B.Sc. in Computer Science, Electrical Engineering, or Computer Engineering.
5+ years of hands-on software development experience, including 5+ years of leading engineering teams.
Solid working experience in Python and in at least one of C++, Objective-C/C++, or Swift.
Comfort working across platforms and environments - shared code, build, and deployment.
Vast programming knowledge and background - able to credibly review and guide work across multiple languages and layers of the stack.
Proven capability delivering low-latency, production-grade systems, ideally in data collection, instrumentation, or research-tooling contexts.
Demonstrated, hands-on fluency with advanced AI coding tools, with the judgment to apply them effectively across a teams workflow.
Track record of technical leadership: architectural decision-making, mentoring, and balancing hands-on contribution with team enablement.
Excellent communication skills - able to represent the teams technical direction to stakeholders and translate business/research needs into engineering plans.

Preferred Qualifications
Professional experience in all of the core languages: Python, C++, Objective-C/C++, and Swift.
macOS and/or iOS development experience - a rare and highly valued profile for this team.
Familiarity with sensor capture (video, audio) and multi-stream synchronization.
Familiarity with machine learning and inference (on-device or pipeline integration).
Prior experience as a team lead or staff-level IC in a similarly scoped org.
Experience with pre-silicon or hardware-adjacent software development.
Background building integration/test vehicles or data-collection platforms.

Requirements:
6+ years of verification experience, including hands-on experience building complex environments from scratch
Advanced knowledge of verification flow, SOC architecture and design
Expertise in verification languages such as SystemVerilog, UVM, Spaceman
Knowledge of industry standard tools, including Verilog, Verilog simulator, and debug
Clear understanding of constrained random verification process, functional coverage, code coverage, and assertion methodology and philosophy
Bachelor degree in electrical engineering or computer science, or equivalent experience

Requirements:
B.Sc. degree in software engineering, computer science, or a related field.
7+ years of experience in C/C++ programming for distributed and complex systems.
Proficiency in Python programming.
Experience with ML accelerators and AI compilers - advantage.
Experience with Triton, CUDA or MLIR-based compiler frameworks - advantage.

Requirements:
At least 5 years of experience in the ASIC/SoC industry.
Excellent communication skills.
BSc or MSc in Computer Engineering or Electrical Engineering.
Nice to have:
Proven Experience in either SCAN or MBIST tools and flows.
Knowledge of Hierarchical SCAN methodology.
Knowledge of Logic BIST (LBIST) and Test Point Insertion (TPI) flows.
Knowledge of TAP protocols IEEE 1149.1/1500/1687 (iJTAG).
Knowledge of Synthesis flows.