דרושים » הנדסה » AI Engineer

Requirements:
5+ years experience as a Cybersecurity software engineer
Strong background in low-level cybersecurity, especially with embedded systems
Strong embedded C++ skills
Strong Cybersecurity research and hacking skills, or relevant experience in IDF cyber units
Strong Linux and/or RTOS low-level programming
Self-learning skills with the ability to investigate and implement new technologies
Ability to work both independently and as a team member
BSc. or higher in Electrical Engineering, or Computer Engineering
Strong interpersonal, communication (written and verbal) skills, and presentation skills
Fluency in English
Advantage to those who also have:
Knowledge of automotive industry, systems, and regulations

Requirements:
BSc. in Computer Science or Electronic Engineering
5+ years experience as an Embedded Software Developer
Proven experience in real-time programming
Experience in Linux
Professional-level knowledge and experience in C/C++
Experience in ARM CPU architecture
Ability to acquire practical knowledge of new technologies quickly and independently
Ability to work independently, and as a team member
Strong interpersonal, written, and verbal communication skills
Eager to face challenges and enthusiastic to meeting demanding targets
Fluency in spoken and written English
Advantage to those who also have:
Knowledge of Automotive industry standards of architecture and code (AGL, AUTOSAR)
Experience in Android OS
Experience in Yocto Project
Experience in SPI, I2C, or CAN
In-depth understanding of discrete analog component properties

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 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:
5+ years of hands-on software engineering ( Python ecosystem a must).
* Solid understanding of AI/ML concepts and practical experience with ML libraries (PyTorch, Hugging Face, Scikit-learn). 2+ years experience building MLOps pipelines ( data collection, training, deployment).
* Familiarity with Databricks (advantage).
* Experience with AWS (S3, EC2, SageMaker/Bedrock, Lambda).
* Hands-on work with databases: SQL, NoSQL, and vector stores.
* Knowledge of CI/CD practices and DevOps tools (Docker, Jenkins, GitHub Actions, Artifactory) advantage.
*  UI prototyping experience (Streamlit, Gradio, HTML /JS/CSS) advantage.
* Familiarity with agentic AI frameworks (LangChain, PydanticAI, Google AI SDK) advantage.
Why Join Us? Help us bridge research and engineering to build next-generation AI-powered solutions that accelerate investigations and deliver meaningful impact worldwide. You will work with top AI, data and Engineering talents, cutting-edge technologies, and a dynamic, collaborative team.

Requirements:
Bachelors degree in computer science, Electrical/Computer engineering Must.
At least 5 years of experience in microprocessors coding such ARM Cortex-M series Must.
Familiarity with real-time embedded systems design and low-level hardware interactions such SPI, I2C, UART, CAN, etc.
Familiarity with MCU architecture and system peripherals such ADC, DMA, PWM, TIMERS, GPIOs, SYS CLOCKS, etc
Deep understanding of the C language, basic understating in C object-oriented or C++ Must
Software Development skills proficient understanding SW development cycle, coding standard, debugging, source control, writing design documentations.
Proficient with lab equipment with emphasis on Oscilloscope, logic analyzer and power supply Must.
Interpersonal abilities: Team player, Independent, Fast learner, hardworking, reliable Must
Excellent communication skills in Hebrew and English both written and verbal.
Advantage:
Experience in Hardware and Power electronics
Proficient understanding of C object-oriented or C++ Big advantage
The automotive industry comply coding such as MISRA-C:2004
Experience in working with IAR/ Keil embedded workbench

Requirements:
BSc. in Computer Science or Engineering
3+ years' experience in a customer-facing technical position
Knowledge of C/C++, Java, or similar programing languages
Knowledge of Linux
Excellent interpersonal and communication skills
Ability to travel internationally 30% of the time
Fluency in English
Advantage to those who also have:
Knowledge of Automotive industry and experience
Multi-disciplinary product experience
Scripting and/or NoSQL DB knowledge
Experience of Start-up working environment and performing under pressure.
Knowledge of RTOS (QNX, Integrity, etc.)
Proficiency in speaking/writing in additional languages

Requirements:
6+ years of professional C++ development experience (C++17 and newer), with strong command of STL, memory models, move semantics, and modern idioms.
Deep knowledge of Linux systems and tooling - including CMake, Conan, GDB, perf, and Valgrind.
Real-world experience with real-time systems, low-latency software, and network-level data handling.
Proven ability in system-wide performance analysis and root-cause debugging of latency issues at driver or memory subsystem level.
A passion for precision, performance, and solving cross-disciplinary challenges.
Bonus Points:
Hands-on experience with embedded Linux, device drivers, or kernel module development.
Familiarity with QDMA or similar DMA technologies.
Background in robotics, automotive systems, simulation, or large-scale distributed systems.