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Requirements:
BSc in Engineering or equivalent experience.
At least 5 years of experience in running solutions in production; Hands-on approach
Experience with a cloud provider (AWS preference) a must
Experience with Docker and K8S managing in production
Strong troubleshooting, problem-solving skills and incident management principles.
UNIX/Linux experience and system administration knowledge.
Experience with major monitoring solutions (e.g., Prometheus, Grafana, Loki).
Write and maintain technical documents and standard operating procedures.
Strong verbal and written communications in English.
Knowledge of CI/CD concepts Jenkins, BitBucket, GitLab.
Team player, get-stuff-done attitude with self-learning skills.
Strong spoken and written English
Experience working for a global company
It would be an advantage for you to have:

Development background
Terraform, Helm
Knowledge of security and networking of production environments

Requirements:
2+ years of hands-on experience with Java
Experience with testing Web and Cloud products
Deep knowledge of QA methodologies
At least 3 years of experience in automation SW development and test methodologies
BSc. or Practical engineering degree
Deep knowledge of QA methodologies
Strong debugging skills
Self-learner, and independent executor with ability to work on multiple projects under tight deadlines
Fluency in English

Requirements:
Proven experience as a Software Director or similar leadership role, with at least two managerial tenures.
Experience in the AI & MLOps ecosystems.
Strong expertise in data engineering, data streaming, and related technologies (e.g., Kafka, Apache Flink, Spark, or similar).
A solid background in software development, with proficiency in modern programming languages (e.g., Python, Java, or C++).
Experience in designing and deploying scalable, cloud-based systems (AWS, Azure, or GCP preferred).
Excellent problem-solving skills and the ability to navigate complex technical challenges.
Strong interpersonal and communication skills, with a focus on building and maintaining a positive team culture.
Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Requirements:
Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate with high scores, or equivalent experience.
5+ years in design verification, with strong SV/UVM proficiency (Less experienced engineers with high university grades or vast knowledge in RTL design will also be considered)
Self-motivated, ability to work, lead and drive tasks to completion.
Great interpersonal skills.
Understanding of digital ASIC design flows and SoC development methodologies. experience with SoC/full-chip verification, simulation/debug tools, and Unix/Linux environments, scripting languages (Python, etc.) and version control.
Advantages

2+ years of managerial experience. (Only for DV lead)
Knowledge in Low Power technics and UPF standard.
Knowledge with Mix signals SoCs.
Knowledge with SW/HW Co-development

Requirements:
Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate with high scores, or equivalent experience.
5+ years in design verification, with strong SV/UVM proficiency (Less experienced engineers with high university grades or vast knowledge in RTL design will also be considered)
Self-motivated, ability to work, lead and drive tasks to completion.
Great interpersonal skills.
Understanding of digital ASIC design flows and SoC development methodologies. experience with SoC/full-chip verification, simulation/debug tools, and Unix/Linux environments, scripting languages (Python, etc.) and version control.

Requirements:
The successful candidate will be a Systems Engineer with strong experience RF systems
5 or more years of experience in RF system design, test development, debug, and reporting.
Requirements definition and management
Performing technical investigations
Problem assessments and proposal of design solutions
Basic knowledge of RF/Wireless lab equipment.
Good knowledge of RF fundamentals and communications theory.
Good understanding and experience with RF metrics and impairment.
RF system qualification and validation
RF system performance prediction and assessment
System level RF modelling
Experience in RF-System simulation environment (Matlab or C/C++).
Solid skills in test and script development (Python).

Requirements:
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
Minimum 3 years of experience in SOC design
Strong understanding of digital design principles and CMOS technology
Proficiency in Verilog or SystemVerilog for design
Experience with industry-standard EDA tools (e.g., Synopsys, Cadence, Mentor Graphics).
Knowledge of low-power design techniques (e.g., clock gating, power gating, multi-voltage domains, UPF)
Experience with timing analysis and closure
Excellent problem-solving and debugging skills
Strong communication and teamwork abilities
Advantages: Experience with RISC-V based SoC
Advantages: knowledge of using cdc techniques
Advantages: knowledge of SV-UVM, UPF techniques, CPU (RISC-V), and FW code techniques
Advantages: knowledge of MCU SoC Arch. , Analog ICs, Mix-signals design and Lab equipment.

Requirements:
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
Minimum 1+ years of experience in SOC design
Strong understanding of digital design principles and CMOS technology
Experience with timing analysis and closure
Excellent problem-solving and debugging skills
Strong communication and teamwork abilities
Advantages: Experience with RISC-V based SoC
Advantages: knowledge of using cdc techniques
Advantages: knowledge of SV-UVM, UPF techniques, CPU (RISC-V), and FW code techniques
Advantages: knowledge of MCU SoC Arch. , Analog ICs, Mix-signals design and Lab equipment.

Requirements:
7+ years of senior development experience, with at least 5 years as an SVP Engineering from the Ad-Tech industry
Proficiency in programming languages such as Python, Java, Scala, and SQL, along with experience in working with large-scale databases and data manipulation.
Proven experience managing multiple development teams
Deep understanding of technology architecture, cloud infrastructure, databases, security, and DevOps.
Strong decision-making skills and the ability to drive product architecture
Ability to lead and optimize development processes
Expertise in introducing and evolving statistical modeling, machine learning, data mining, and predictive analytics.
Experience working in fast-paced environments with tight deadlines
Industry Trends and Best Practices: Stay up-to-date with the latest advancements in marketing analytics, data science methodologies, AI and data software solutions. Identify opportunities for innovation and continuous improvement within the marketing data science function and build out next-gen capabilities.
Work collaboratively with product, operations, business leads, compliance, and finance.

Requirements:
5+ years of experience in a technical support role, preferably in a B2B environment.
Strong knowledge of troubleshooting distributed systems, analyzing logs and metrics, and using debugging proxies
Excellent problem-solving skills and ability to diagnose and troubleshoot technical issues.
Experience supporting enterprise customers through implementation, onboarding, and growth
Strong communication skills with the ability to explain technical concepts to non-technical audiences.
Fluent in English, both written and spoken.
Bachelors degree in Computer Science, Engineering, or a related technical field- an advantage

Requirements:
Familiarity with Generative AI models is essential, though direct technical experience is not a prerequisite.
Command of English at a near-native level.
Attention to detail, organizational capabilities, and the capacity to juggle numerous tasks concurrently.
Data analysis
Additional Wants:
Experience with various model types (Text-to-Text, Text-to-Image) is desirable.
Prior experience with OSINT (Open Source Intelligence) will be considered an asset.
A self-starter attitude, with the energy to excel in a fast-moving and variable environment.

Requirements:
Bachelor's degree in Computer Science or an equivalent field.
At least 2 years of experience in test automation, object-oriented programming (OOP), and hands-on development in complex, multi-component environments.
Experience with Continuous Integration and Automation using Jenkins.
Experience with SQL and complex data querying/analysis involving both SQL and NoSQL databases.
Self-motivated, quick learner, and a team player.
Experience with automating testing platforms such as JUnit, PyTest, Selenium, and Appium.

Requirements:
Basic qualifications
Strong academic and technical background in electrical or computer engineering
1-3 years experience validating and/or developing complex SoC/silicon products for Networking and/or Server & Storage applications
Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and work with minimal guidance and supervision.
Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!
Required experience.
Hands-on, thorough knowledge of high-speed protocols like Ethernet CXL, PCIe, NVMe,.
Silicon/System bring-up, validation, and debug experience, including customers systems.
A Python coding experience
Familiarity with validation techniques C, C++
Experience with lab equipment as protocol analyzers, chambers, in-circuit debuggers, and CPU-based tool suites.
Familiarity with lab testing automation techniques
Preferred experience
Familiarity with devices trees and related debugging techniques.
Familiarity with board system design
C\C++ for embedded FW and device drivers
Basic understanding of x86/ARM architecture, UEFI/Linux boot sequence
Familiarity with CXL compliance standards and ability to follow and be involved in compliance consortiums to adapt the tests to be run from X86/ARM based platforms.
Experience working with DRAM memory vendors on DDR4 or DDR5 to identify issues and working on SoC HW/FW to improve memory calibration and tuning sequences.
Knowledge of memory subsystem compliance from a data integrity and RAS is a plus.
Knowledge of schematic capture and PCB layout tools from Cadence, Altium, etc.