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Requirements:
3+ years of experience in QA Automation, with a strong focus on backend and data testing.
Hands-on experience with automation frameworks such as Pytest or similar.
Proficiency in Python (or similar scripting/programming language).
Strong understanding of API testing, backend architectures, and data-driven systems.
Hands-on experience with CI/CD pipelines and tools such as Jenkins.
Good understanding of relational databases (e.g., PostgreSQL, MySQL; Databricks is a plus).
Experience writing clear test plans and technical documentation.
Strong analytical and problem-solving skills with high attention to detail.
Self-driven, independent, and comfortable working in a fast-paced environment.
Strong communication skills and ability to collaborate across teams.
Nice to Have:
Experience working with cloud platforms such as AWS, Azure, or GCP.
Familiarity with Kubernetes and containerized environments.
Experience testing data platforms or cloud cost / usage systems.

Requirements:
We are looking for a senior software engineer to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.
You will work on design and implementation of new and enhanced features of the memory system to support high performance computing and AI applications. Responsibilities:
Work on design and implementation of new and enhanced features of the memory system for the Maverick accelerator
Develop a high performance, low latency distributed unified virtual memory management system
Work on system software support for the next generation Maverick system
Define feature development scope and plan for successful product delivery.
Wide system impact through collaboration with software engineers, hardware engineers, compiler developers and other stakeholders Requirements:
MSc/BSc in Computer Science or other equivalent educational experience.
3-5 years of advanced C ++ experience, with excellent coding skills.
Deep understanding of the internals of operating systems, IPC, and multi-threaded programming
Familiarity with device and memory management in operating systems
Experience in Linux Kernel development
Ability to work in a multi-task and dynamic environment 

Requirements:
Requirements
* B.Sc. in Computer Science, Data Engineering, or equivalent experience.
* 2–3+ years of backend development experience with real-time data processing, event-driven architectures, or streaming.
* Familiarity with microservices architecture and RESTful API design.
* Demonstrated proficiency in high-level programming languages such as Python, Node.js, and Go.
* Familiarity with AWS and cloud-based fundamentals.
* Strong problem-solving skills and a proactive, independent mindset. Advantages
* Experience with ML-based or rule-based fraud detection systems.
* Experience with data modeling or building scoring/decisioning systems.
* Solid understanding of DevOps practices and CI/CD pipelines. Talent We Are Looking For Independent & Self-Driven - Comfortable owning a domain with high-impact decisions. Analytical - Passionate about accuracy, performance, and outsmarting adversaries. Adaptable - Thrives where the challenges are constantly changing.
About the company Appdome's mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform. Our platform delivers rapid, no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration-as-code ease, Threat-Events™ threat-aware UI/UX controls, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 2 billion mobile end users projected. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
Required Skills and Experience:
* Minimum of 5 years' experience in the field of child safety, with a proven track record of addressing online harms such as CSAM, grooming, and trafficking.
* At least 5 years' experience in research, holding a minimum of a master’s degree in criminology, sociology, or a related field; a PhD is an advantage.
* At least 2 years of experience in team leadership.
* Demonstrated leadership and research expertise, including managing large-scale initiatives, analyzing data, mentoring teams, and fostering collaboration.
* Exceptional skills in analytical thinking, communication, and technical proficiency, with resilience to handle sensitive content and expertise in OSINT, automation, and database management.

Requirements:
Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field
Experience with developing and implementing formal verification environments and writing verification plans
Proficiency in formal property verification and debugging skills
Strong analytical skills and experience with coverage results analysis
Ability to work closely with design engineers to identify and resolve issues
Excellent written and verbal communication skills in both Hebrew and English
Experience in the semiconductor industry is a plus.

Requirements:
Bachelor's degree in CE, CS or EE (M.Sc - an advantage)
At least 5 years of proven experience in developing applications
High coding proficiency in Python, C++ and Matlab
Multi-disciplinary skillset, including scripting, OOP, DB, GUI
Proven track record of owning the full SW development cycle from requirements to deployment
Good analytic capabilities and ability to grasp detailed engineering concepts

Requirements:
Minimum Qualifications
Master's in Computer Science (or related fields) or equivalent experience
Minimum 1 year hands-on experience using LLMs, ML, and other GenAI technologies to solve real problems at scale.
End-to-End Expertise with advanced GenAI techniques such as RAG (Graph/Hierarchical/etc), Agent Orchestration, Context Management, Prompt Engineering.
Solid understanding of shipping GenAI projects to production, including expertise with evaluation, optimization, and AI guardrails.
Deep proficiency with building resilient software in Python (4 years experience), including data analysis (Pandas/Polars), scripting, interfacing with APIs, concurrency.
Good understanding in one of WiFi, Bluetooth, Thread or related protocols
Excellent analytical and debugging skills
Effective communication skills, particularly with technical content
Highly organized, creative, self-motivated and passionate about achieving results.

Requirements:
Prior knowledge or familiarity with ARM or RISC-V instruction sets
Strong understanding of embedded CPU architecture and micro architecture
Background and experience with software build processes including binary tools and toolchains
Knowledge in C++ and Python
Experience with software optimization including SIMD and vector processing
Experience with using CPU simulators

Requirements:
Strong problem-solving skills and effective communication are critical for success in this role.
Strong understanding of hardware components and hardware/software interactions
Excellent debugging/triaging skills to solve challenging problems
Excellent spoken and written communication skills
Excellent prioritization skills and focus
Experience developing scripts/tools to distill and visualize data is a plus

Requirements:
Knowledge and experience with the quality assurance process.
At least 3 years of this kind of experience is preferred, but we encourage you to apply with any level of experience
Strong written and verbal communication skills.
Highly motivated, capable of working independently and as part of a team
Attention to detail and an unwillingness to settle for a product that is just good enough.