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Requirements:
Proven experience as a Solution Architect or in a similar role, with a strong focus on DataOps.
Deep understanding of data management principles, data modeling, and ETL processes.
Expertise in cloud technologies (AWS, Azure, GCP) and data platforms (Hadoop, Spark, Snowflake, Looker).
Strong knowledge of programming languages (Python, Java, Scala) and scripting languages (Bash, PowerShell).
Experience with DevOps tools and practices (CI/CD, containerization, orchestration).
Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills
Bachelors degree in Computer Science, Engineering, or a related field.

Requirements:
BSc. in Electrical Engineering or Computer engineering, or equivalent experience.
5+ overall years of practical verification experience.
2+ years of verification managerial experience.
Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy).
Experience with Specman is a plus.
Good understanding of RTL design (Verilog).
Strong debugging, problem solving and analytical skills.
Ability to work in a geographically diverse team environment.
Good communication skills, motivator and target oriented.

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on DevOps.
Deep understanding of DevOps principles, practices, and tools.
Expertise in cloud technologies (AWS, Azure, GCP) and containerization
platforms (Docker, Kubernetes).
Strong knowledge of configuration management tools (Ansible, Chef,
Puppet) and CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
Experience with scripting languages (Bash, Python) and infrastructure
as code tools (Terraform, CloudFormation).
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills
Bachelors degree in Computer Science, Engineering, or a related field.

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on SecOps.
Deep understanding of security principles, practices, and tools.
Expertise in cloud security technologies (AWS, Azure, GCP) and
security information and event management (SIEM) tools.
Strong knowledge of vulnerability management, penetration testing, and
incident response processes.
Experience with security automation and orchestration tools.
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills.
Bachelors degree in Computer Science, Engineering, or a related field.

Requirements:
B.Sc. in Electrical Engineering or Computer engineering or equivalent experience.
15+ years of practical experience.
Exposure to rtl implementation and coding.
Familiarity with verification tools.
Strong debugging, problem solving and analytical skills.
Strong communication and social skills are required.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.
Ways to stand out from the crowd:
Prior Design or Verification experience.
Experience in developing sophisticated design blocks.
Integration of design elements to large cluster or full-chip.
Experience in working with back-end on area, power and timing closures.
Scripting ability.

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management
Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
Google Cloud Certifications:
Professional Data Engineer (preferred)
Professional Cloud Architect (preferred)
Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
B.Sc. in Electrical Engineering or Computer engineering or equivalent experience
5+ years of hands on DFT/ATPG knowledge & technical experience in DFT ASIC Design and in ATPG tools
Strong programming skills in scripting languages
Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility
Ways to stand out from the crowd:
Knowledge of DFT including scan, MBIST, LBIST, on-chip scan compression, fault models, ATPG, and fault simulation
Experience in Mentor TestKompress ATPG tool and retargeting flow
Programming languages: TCL, PRL, Phyton & Unix shell scripts
Experience with ATE and Silicon bring-up.

Requirements:
B.Sc. in Electrical Engineering or Computer engineering or equivalent experience.
5+ years of practical experience.
Exposure to rtl implementation and coding.
Familiarity with verification tools.
Strong debugging, problem solving and analytical skills.
Strong communication and social skills are required.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.
Ways to stand out from the crowd:
Prior Design or Verification experience.
Experience in developing sophisticated design blocks.
Integration of design elements to large cluster or full-chip.
Experience in working with back-end on area, power and timing closures.
Scripting ability.

Requirements:
Excellent phone and cold calling skills.
Excellent verbal and written communications skills (English & Hebrew)
Ability to multitask, prioritize, and manage time efficiently.
Proficiency in CRM is an advantage.
Previous experience in an outbound sales call center or a related sales position.
Technical background.
Ability to achieve targets.
BA/BS degree or equivalent.

Requirements:
M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience
3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Experience conducting performance benchmarking and triage on large scale HPC clusters
Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
Implement micro-benchmarks in C/C++, read and modify the code base when required
Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones
Ways to stand out from the crowd:
Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
Experience debugging network issues in large scale deployments
Familiarity with CUDA programming and/or GPUs
Experience with Deep Learning Frameworks such PyTorch, TensorFlow.

Requirements:
achelors degree in Marketing, Communications, Business, or a related field.
2+ years of experience in marketing, preferably in the technology industry, with a focus on cloud computing.
Proven track record of developing and executing successful marketing campaigns.
Strong understanding of digital marketing, including SEO, social media, and email marketingץ
Experience managing events, both online and in-person.
Must be assertive, a people person, and possess excellent interpersonal skills.
Excellent written and verbal communication skills in English and Hebrew including public speaking.
Strong project management and organizational skills.
Ability to work independently and as part of a team.
Proficiency in marketing automation tools and CRM systems (e.g., Monday.com, HubSpot, Salesforce).
Creative thinker with a passion for technology and innovation.
Experience managing budgets and vendors.
Ability to work from our Haifa offices with occasional travel to Tel Aviv and to events as needed.
Bonus Points:
Experience marketing cloud services (AWS, GCP, Azure).
Experience with graphic design tools (e.g., Adobe Creative Suite, Canva).
Experience in the Israeli high-tech market.

Requirements:
M.S./Ph.D. degree in CS/CE or equivalent experience.
5+ years of relevant experience.
Excellent C/C++ programming and debugging skills.
Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
Deep understanding of operating systems, computer and system architecture.
Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.
Strong experience with Linux.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Expertise in related technology and passion for what you do. Experience with CUDA programming and our company GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.
Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.
Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

Requirements:
Soft Skills:
Excellent communication skills for client interactions and teamwork.
Proactive approach to problem-solving, with the ability to prioritize issues effectively and manage multiple client environments.
Advantages:
Cloud Technologies:
Familiarity with cloud technologies helps in managing scalable and cost-effective cloud resources efficiently.
Networking:
Understanding networking improves the design and management of secure cloud networks.

Requirements:
B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Experience working with engineering or academic research community supporting HPC or AI
Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control
Expert in Linux fundamentals and a scripting language, preferably Python
Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible)
Adaptability and passion to learn new areas and tools
Flexibility to work and communicate effectively across different teams and timezones
Ways to stand out from the crowd:
Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments
Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow
Deep understanding of technology and passionate about what you do.