לוח משרות דרושים במרכז

Requirements:
* BSc in Computer Science or related field.
* At least 6 years of experience in software R&D.
*  Python expert.
* Experience with Linux and Cloud-architecture environments (Kubernetes is a plus)
* Solid understanding of the product development lifecycle process including analysis and design, development tools and technologies, release, and deployment.
* Good understanding of networking, security, DevOps practices
* Experience with development under Linux.
* Goal-oriented, highly motivated, takes full ownership of projects.
* A true team-player, with great leadership and interpersonal skills. Proactive attitude, the ability to do what it takes to get the job done.
* A problem solver highly inventive thinker that will provide insightful, innovative solutions to any problem. Nice to have (At least one of these is a must):
* Experience with working in a startup environment
* Experience with Video processing/streaming
* Experience with Linux and Cloud-architecture environments (Kubernetes is a plus)
* Experience with GIS

Requirements:
To be successful in this role, you have:
6+ years of experience in software security (AppSec).
3+ years of experience in threat modelling software applications and services.
Proficient in threat modelling methodologies such as STRIDE or PASTA and their applied use in fast-moving, iterative development lifecycles.
In-depth knowledge of common web application vulnerabilities (OWASP Top 10).
Developer-level proficiency in one or more languages - Python, Java, JavaScript, and Golang preferred.
Working knowledge of Machine Learning and taxonomies such as BIML that categorise known attacks on machine learning models.
In-depth knowledge of software design patterns and their security considerations.
In-depth knowledge of authentication and authorisation standards, including OAuth, OIDC, SAML, JWT, and PASETO.
Knowledge of symmetric and asymmetric cryptography, digital signatures, PKI, TLS, and cryptographic hash functions.

Requirements:
To be successful in this role, you have:
10+ years of industry experience, including expertise and handson software development in Java
(Bonus) Python
Proven record architecting largescale, distributed systems in cloud and Kubernetes environments.
Deep knowledge of microservices / serviceoriented architectures and modern DevOps practices.
Excellent written and verbal communication skillsable to influence and align diverse stakeholders.
Ability to own and derisk multiple highimpact projects spanning several teams.
Comfort using Generative AI tools to boost productivity.
(Strong Bonus) Experience working with LLMs, MCP, A2A, multi agent systems
(Bonus) Experience building security or AI security products.
(Bonus) Exposure to AI systems, data science, or dataengineering pipelines.
Strong organizational, leadership, and presentation abilities.
BS/MS in Computer Science, Engineering, or a related discipline.
Join us to secure the next generation of AI at ServiceNow and help every enterprise work better, faster, and more safely than ever before.

Requirements:
BSc/MSc/PhDs in Electrical Engineering, Computer Science (or similar), or equivalent experience.
Experience in developing simulation models.
2+ years of relevant practical experience.
Proficiency in C++ and Python.
Excellent verbal and written communication skills.
Ways to stand out from the crowd:
Master's degree or PhD in Electrical Engineering, Computer Science or related technical field.
Experience with distributed AI training frameworks, or collective communication libraries.
Experience with Ethernet/IB technologies.
Demonstrated ability to innovate and lead new technologies leading to product impact.

Requirements:
To be successful in this role you have:
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
5+ years of experience with quality assurance and Java programming with Selenium, JUnit and TestNG.
Fluency with scripting in JavaScript. Experience with Eclipse, Jenkin, Maven, and Git.
Understanding of testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect.
Ability to use tools (such as IDE, debugger, build tools, source control, our instances, profilers, system administration/Unix tools) to assist with daily tasks.
Experience driving cross-team technical discussions with an understanding of SDLC concepts.

Requirements:
To succeed in this role, youll need:
A Masters degree or PhD in Computer Science, or a related technical field, with a specialisation in Security or AI/ML.
7 years of experience with security assessments, design reviews or threat modelling.
7 years of experience in security engineering, computer and network security and security protocols.
7  years of programming experience in Java or Python,
Hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph).
Familiarity with authentication/authorization protocols (e.g., OAuth 2.0, OIDC, PKCE, API Keys) and agentic protocols (e.g. MCP, A2A)
A proactive and collaborative mindset, with a passion for continuous learning and a drive to solve complex challenges as part of a team.
(Bonus) Expertise in AI/ML security, including model and infrastructure vulnerabilities and their mitigation strategies.
(Strong Bonus) Deep understanding of Large Language Models (LLMs), Multimodal Language Models (MLLMs), and agentic workflows.
(Strong Bonus) Experience developing or evaluating security controls for agentic AI systems, including identity and consent models for multi-party protocols (e.g., MCP, A2A).
(Strong Bonus) Proficiency in implementing secure communication protocols for agent-to-agent interactions, such as OAuth 2.0, API keys, and PKCE.
(Bonus) A track record of contributions to the security and AI/ML communities, such as publications in top-tier venues, conference presentations, CVEs, or significant open-source projects.

Requirements:
BSc/MSc in Electrical Engineering, Computer Science (or similar), or equivalent experience.
Passion for hardware modeling and design
Experience in developing simulation models.
3+ years of relevant practical experience.
Proficiency in C++ and Python.
Excellent verbal and written communication skills.
Ways to stand out from the crowd:
Master's degree in Electrical Engineering, Computer Science or related technical field.
Experience with network simulation tools (omnet, ns3, sst, gem5)
Demonstrated ability to innovate and lead new technologies leading to product impact.
Experience with Ethernet/IB technologies.

Requirements:
To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry.

3-5 years experience in industry, working in a data related role where more than 50% of time spent actively working in data 

Strong Data Literacy: Deep understanding of data, including data extraction, normalization, preprocessing, and evaluation as well as event streaming and data pipelines. Industry experience of working with big data technologies and ELT.

Technical Proficiency: Proficiency in Python, SQL and JavaScript is essential, as the role involves creating datasets, mapping and adjusting code, migrating proof of concept code (Python) into production (JavaScript) as well as performing exploratory data analysis (EDA). 

Preference for someone who has either of below:

a BSc or BEng in Computer Science or Software Engineering and a Masters in AI or Data related.

AI major in their Bachelors degree and additional learning in Data or AI - could be certified or college.

The role requires being in the office a minimum of two days per week and working with teams across different regions.

Requirements:
To be successful in this role you have:
4+ years of professional software development experience, emphasizing backend engineering.
Deep expertise in Java, including algorithms, data structures, object-oriented design, and performance optimization.
Strong knowledge of RESTful API design, microservices architectures, and database concepts (SQL/NoSQL).
Experience in developing and maintaining secure, scalable backend systems and services.

Preferred Qualifications:
Experience developing security or AI security products, including exposure to ML model security, adversarial attacks, and vulnerability assessment frameworks.
Practical experience integrating AI/ML technologies and APIs into backend systems.
Hands-on experience with cloud environments (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Familiarity with industry-standard security frameworks and best practices relevant to AI and data security (e.g., OWASP LLM Top 10).

Requirements:
To be successful in this role, you have:
8+ years of experience in security research, AI/ML research, data science, or related fields, specifically with experience securing AI systems.
Advanced expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face, spaCy).
Demonstrated success in identifying and mitigating security vulnerabilities in AI systems, particularly involving large language models (LLMs) and agentic architectures.
Proven experience developing and validating robust AI security evaluation frameworks and benchmarks.
Strong proficiency in Python, with significant experience in data-driven security assessments.
Excellent communication and collaboration skills, able to clearly articulate complex findings to technical teams, leadership, and external partners

Preferred Qualifications:
Previous experience leading research teams or cross-functional projects in corporate or academic environments.
Published research or contributions to standards in AI security, safety, or responsible AI practices.
Familiarity with OWASP LLM Top 10 and experience addressing vulnerabilities such as prompt injection, data poisoning, and adversarial attacks.
Advanced degree (PhD or MS) in Computer Science, Data Science, Cybersecurity, or a related field.

Requirements:
To be successful in this role, you have:
A B.Sc degree or M.Sc in Computer Science, or a related technical field, with a specialization in Security or AI/ML.
4 years of experience with security assessments, design reviews or threat modeling.
4 years of experience in security engineering, computer and network security and security protocols.
5  years of programming experience in Java or Python,
Hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph).
A proactive and collaborative mindset, with a passion for continuous learning and a drive to solve complex challenges as part of a team.
(Bonus) Expertise in AI/ML security, including model and infrastructure vulnerabilities and their mitigation strategies.
(Strong Bonus) Deep understanding of Large Language Models (LLMs), Multimodal Language Models (MLLMs), and agentic workflows
(Strong Bonus) Experience developing or evaluating security controls for agentic AI systems, including identity and consent models for multi-party protocols (e.g., MCP, A2A).
(Strong Bonus) Proficiency in implementing secure communication protocols for agent-to-agent interactions, such as OAuth 2.0, API keys, and PKCE.

Requirements:
To be successful in this role you have:
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
5+ years of experience with quality assurance and Java programming with Selenium, JUnit and TestNG.
Fluency with scripting in JavaScript. Experience with Eclipse, Jenkin, Maven, and Git.
Understanding of testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect.
Ability to use tools (such as IDE, debugger, build tools, source control, our instances, profilers, system administration/Unix tools) to assist with daily tasks.
Experience driving cross-team technical discussions with an understanding of SDLC concepts.

Requirements:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent work experience.
2+ years of experience in physical design.
Proven experience in RTL2GDS flows and methodologies.
Knowledge in physical design flows and methodologies (PNR, STA, physical verification).
Deep understanding of all aspects of Physical construction and Integration.
Knowledge in Physical Design Verification methodology LVS/DRC.
Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
Great teammate.

Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Familiarity with Microsoft development environment and the .Net.
Strong leadership, communication, and presentation skills.
Passion for teaching and transferring knowledge to others.
Ability to work collaboratively in a team environment.
Work in our clients office.

Requirements:
BSc or MSc or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science or a related field
5+ years of relevant experience in network architecture, design, or performance analysis
Solid understanding of power consumption dynamics in network hardware (NICs, switches, cables) and systems
Proven experience in network architecture and design, particularly for large-scale systems (Data Center, HPC, AI Clusters)
Strong understanding of network protocols (Ethernet, InfiniBand, RoCE, TCP/IP) and their impact on performance and efficiency
Demonstrable expertise in network performance analysis, bottleneck identification, and tuning
Familiarity with the characteristics and network demands of AI/ML workloads
Utmost passion for attention to details in design and a high focus on design quality, particularly concerning power/performance trade-offs
Ways to stand out from the crowd:
Advanced degree or equivalent experience in a related field
Proven dedication to system-level power/performance trade-off analysis, especially in distributed computing or large-scale network environments
Experience in power modeling, measurement techniques, or relevant tools for network components and systems
Proficiency with network simulation tools (e.g., ns-3, OMNeT++, proprietary tools) or performance modeling frameworks
Understanding of silicon-level power characteristics and optimization techniques.