לוח משרות דרושים מהנדסים בחיפה וסביבתה

Requirements:
* Bachelor's degree in electrical engineering or related field.
* At least 3 years of experience in hardware design and development.
* Proficiency in CAD software and hardware simulation tools.
* Strong knowledge of circuit design and microprocessor systems.
* Excellent problem-solving skills and attention to detail.
* Experience with Embedded systems design is a plus.

Requirements:
Soft Skills:
Excellent communication skills for client interactions and teamwork.
Proactive approach to problem-solving, with the ability to prioritize issues effectively and manage multiple client environments.
Advantages :
Cloud Technologies:
Familiarity with cloud technologies helps in managing scalable and cost-effective cloud resources efficiently.
Networking:
Understanding networking improves the design and management of secure cloud networks.

Requirements:
Join a leading global semiconductor company and take a key role in driving operational excellence across multiple manufacturing sites worldwide.
This is a Director-level position with significant impact on global performance, where you will lead Industrial Engineering activities, optimize production processes, and drive efficiency, productivity, and continuous improvement across fabs.
Responsibilities
Lead global IE activities and collaborate with site leaders
Drive OEE improvements, identify bottlenecks, and enhance productivity
Lead cross-functional global projects (efficiency, cost reduction, CAPEX, WIP)
Develop analytical models for planning and performance (KPI, WIP)
Define and implement global operational standards
Lead capacity management and benchmarking initiatives Requirements
B.Sc. in Industrial / Systems Engineering (M.Sc. - advantage)
Extensive IE experience in semiconductor manufacturing
Proven Director-level leadership experience
Strong background in operations & manufacturing methodologies (Lean, TOC, etc.)
Highly analytical and data -driven
Experience leading global, cross-functional teams 

Requirements:
We are seeking a skilled Digital Hardware & FPGA Engineer. Role Overview:
Lead development of FPGA components in Embedded systems and advanced hardware infrastructures.
Define architecture, implement logic design, and perform simulation and testing in processor-based environments.
Work with high-speed memory and advanced communication interfaces. Requirements:
B.Sc. in Electrical/Electronic Engineering
3+ years developing boards combining processors and advanced FPGA components
Proficient in VHDL and experienced with Xilinx/Altera devices
Experience with Modelsim.
Experience with Verilog, ETH, Embedded systems, Board Design, soft-core CPUs (NIOS/MicroBlaze), Quartus/Vivado, MATLAB, C.

Requirements:
Mandatory:
* Certified Electrician – mandatory
* Valid driving license – mandatory
* Previous experience as an Electrician – mandatory
* Willingness to work irregular hours, including nights, weekends, and holidays
* Experience working in a computerized environment
* Residence in the Northern region Advantages:
* Experience working at cellular sites or similar roles (including military experience)
* Practical knowledge of RF systems
* Electronics Technician / Practical Engineer – advantage
* Experience with cellular site integration and transmission equipment Personal Skills:
* Ability to work independently and as part of a team
* Strong technical orientation and self-learning ability
* High sense of responsibility and professionalism

Requirements:
* 10+ years in Hardware / Systems Engineering, specifically within Automotive, Robotics, Defense or Aerospace ( Real-Time, mission-critical)
* Computing Knowledge: Proven ability to architect systems around Heterogeneous Computing (CPU + GPU + NPU). Understanding of memory bandwidth versus raw TFLOPS, and floating points computing.
* Thermal Strategy: Experience with active and passive cooling for high-performance computing.
* Protocol Mastery: Expert-level knowledge of Automotive Ethernet, CANbus, and high-speed Serializer / Deserializer interfaces.

Requirements:
* Bachelor’s degree in industrial engineering or a related field.
* Minimum of 5-7 years of experience in production planning.
* Excellent collaboration and communication skills to work effectively across different departments.
* Strong knowledge of ERP/MRP systems and production planning tools.
* Ability to manage multiple priorities in a dynamic environment.
* Strong analytical skills with the ability to manage complex data and translate it into actionable insights.
* Fluency in English, both written and verbal.

Requirements:
10 or more years of experience in AI, machine learning, signal processing, or related computational fields, with a proven track record of designing and operating production-grade intelligence systems.
Commercial experience designing, building, or leading agentic AI systems, including LLM-based reasoning, orchestration, tool use, and autonomous or semi-autonomous decision workflows in production environments.
Strong ability to combine classical ML, time-series modeling, and signal processing with LLMs and agentic flows to deliver reliable, explainable, and actionable outcomes.
Experience delivering AI-powered products end-to-end, from research and experimentation through deployment, monitoring, and continuous improvement in SaaS, edge, or hybrid environments.
Solid understanding of AI system concerns such as model governance, evaluation, safety, observability, and lifecycle management, particularly in customer-facing or mission-critical contexts.
Leadership and Scale
4 or more years of experience leading high-impact ML, AI, or engineering teams across both research and product execution and experience as manager of managers.
Demonstrated ability to scale multidisciplinary teams while maintaining delivery focus, technical rigor, and clear ownership.
Proven track record of building cultures of technical excellence, accountability, experimentation, and continuous learning.
Experience leading teams through architectural change or AI paradigm shifts, including the adoption of LLMs and agentic systems.
Domain and Strategic Vision
Ability to set and communicate long-term AI direction while balancing near-term delivery, technical risk, and business impact.
Hands-on experience with agentic systems, autonomous decision workflows, or LLM-driven systems applied to real-world operational problems.
Sound judgment in choosing when to apply classical ML, deep learning, LLM-based techniques, or agentic approaches based on problem context and constraints.
Strong plus: background in time-series analytics, real-time inference systems, sensor data fusion, or closely related domains.
Communicator and Influencer
Exceptional communicator with the ability to align technical and non-technical stakeholders around complex AI decisions and tradeoffs.
Strong aptitude for translating AI innovation into measurable business value, particularly in reliability, efficiency, and operational optimization domains.
Comfortable representing AI strategy and technical direction in executive discussions, customer engagements, and cross-functional forums.
Education
Ph.D. or Masters degree in Computer Science, Electrical Engineering, Physics, AI or ML, Applied Mathematics, or a related field.