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Requirements:
Minimum qualifications:
Currently pursuing a Bachelors, Masters, or PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences, or equivalent practical experience.
Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Generative Media, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications:
Currently enrolled in a full-time degree program in EMEA and returning to the program after completion of the internship.
Experience as a researcher, including internships, full-time, or at a lab.
Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).

Requirements:
Minimum Qualifications:
BSc/MSc in Electrical Engineering/Computer Engineering or relevant fields.
3+ years of experience in communication/signal processing.
Deep understanding of RX and TX MODEM and RF chains.
Deep understanding of Wireless communication systems.
System level understanding - ability to comprehend and contribute to multi-disciplinary process employing HW, signal processing and SW.

Preferred Qualifications:
Analytical skills - ability to triage a problem root cause in a complex system.
Familiarity and ability for SW/FW coding.
Familiarity with lab test equipment.
Understanding of MAC systems - an advantage.

Requirements:
Education
Masters degree in Business Administration, Digital Business, Commercial Management, Marketing, or a related field
Experience & Skills
Extensive leadership experience in Inside Sales is required. With experience in Inside partner management within large, matrixed, global organizations
Proven track record building and scaling Inside Sales Partner Account Management GTM models and increasing partner sourced revenue and pipeline contribution
Experience owning global KPIs, budget and compensation levers, with a history of delivering measurable commercial outcomes in Inside Sales
Deep understanding of partner ecosystems (OEMs, SIs, solution and product partners) and familiarity with software/XaaS commercial models
Strong analytical capability to translate partner performance data into strategic actions and forecast inputs for your Inside Sales Team
Excellent negotiation, stakeholder management and executive presentation skills; experienced in leading complex, cross regional projects
Ways of working
Strategic and entrepreneurial thinker with a hands-on approach to implementation and scale
High capability to influence and collaborate across all organizational levels, building alignment in a global matrix
Change oriented leader with experience driving transformational programs and scaling best practices across regions
Comfortable operating in ambiguous environments with a focus on measurable impact and continuous improvement
Languages: Proficiency in English; additional languages are a plus.

Requirements:
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Security Operations by our company Cloud is advancing cybersecurity for enterprises of all sizes, dedicated to helping companies find and stop cyber attacks before they cause harm. With our expertise in global-scale threat intelligence, large-scale cloud computing, and big data, we help our customers and partners identify and solve their most significant security challenges. The Security Operations platform delivers the entire range of products and services necessary for enterprises to address their needs, ranging from security analytics, response capabilities, and threat intelligence.
You will join the SOAR organization, which is central to improving security efficiency. Security Orchestration, Automation and Response (SOAR) solutions enable the structured automation of the often manual investigation, analysis, and remediation actions that take place in a typical Security Operations Center (SOC).
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Manage the authorization and authentication framework for the entire SOAR platform, ensuring robust, secure user access for our global customer base.
Own the SOAR Settings Page, delivering intuitive and powerful control over the platform experience to our users.
Lead and contribute to multiple high-impact AI projects within the Platform. You will be a key player in pushing the boundaries of innovation by integrating Generative AI technologies, utilizing our companys Agent Development Kit (ADK) to build intelligent security agents that assist users in real-time.

Requirements:
Proven experience leading technology teams in complex, large-scale environments
Strong proficiency in .NET, .NET Core, Python, SQL, NoSQL
Experience managing DevOps and CI/CD environments
Background with GenAI technologies - significant advantage
Strong project and budget management capabilities
Hands-on mindset with the ability to dive deep into development and delivery processes

Requirements:
Minimum Qualifications:
BS and a minimum of 7 years of relevant industry experience.
MSc is an advantage.

Preferred Qualifications:
Work experience within a SoC design cycle, developing circuits and SRAM/Register File for low power, low voltage, and high performance.
Knowledge of Cache design/architecture, memory hierarchy is a huge plus.
Working knowledge of RTL modeling.
Solid understanding of industry-standard design tools.
Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior.
Ability to devise experiments and analyze data for silicon debug.
Machine Learning algorithms (ML) and scripting is a big plus.

Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
4 years of experience with design from micro-architecture through implementation with Verilog/SystemVerilog, or VHSIC Hardware Description Language (VHDL).
Experience in scripting.
Preferred qualifications:
Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Excellent multitask and facilitation skills.
Excellent problem-solving and communication skills.

Requirements:
You are pursuing a Master/Bachelor's degree or equivalent experience in Computer Science or Electrical Engineering, or similar. For this internship, it is vital to be enrolled in an engineering program.
Knowledge of Software quality basics (ISTQB is an asset);
Knowledge in testing web applications;
Ability to search and study documentation;
Attention to detail;
Good English language communication skills;
Team working capability.

Requirements:
Proven experience in marketing within the technology or finance sectors. A background in financial products is advantageous.
Strong creative thinking with the ability to translate business strategies into engaging marketing content and campaigns.
Hands-on experience in creating various content types, including digital writing, articles, social media posts, and video content.
Comprehensive understanding of social media management, including Facebook groups and other engagement platforms.
Strong analytical skills with the ability to interpret data, identify trends, and present actionable insights.
Solid understanding of business goals and the ability to align marketing activities accordingly.
knowledge of AI tools and their application in marketing activities.

Requirements:
Experience in coordinating online courses, webinars, or professional training
Strong operational and organizational abilities
Hands-on experience with digital tools (Zoom, LMS platforms, webinar tech)
Excellent communication skills and service orientation
Ability to manage multiple tasks simultaneously and work independently
Familiarity with financial/accounting/tax domains - advantage
High attention to detail and reliability

Requirements:
M.Sc. in Computer Science or a related field. Ph.D. - an advantage.
5+ years of hands-on industry experience in NLP, deep learning, large language models, generative AI, and prompt engineering.
Proficiency in Python - a must.
Proven track record of designing and operating AI/ML systems in production, including considerations for performance, observability and monitoring - a must.
Hands-on expertise with modern ML frameworks (PyTorch, Hugging Face Transformers) and GenAI toolkits (e.g., LangChain, LlamaIndex); proficiency with cloud ML platforms (AWS, GCP, Azure) and MLOps best practices
Experience with ASR - an advantage.
Team player.