לוח משרות דרושים חשמל ואלקטרוניקה משרה מלאה, לחיפוש זה נמצאו 2,159 משרות

We are looking for a Mechanical Assembler to join our team. This hands-on role involves the assembly and integration of precision electro-mechanical and electro-optical systems, supporting both prototype development and serial production in a cutting-edge technological environment.



Responsibilities

Assemble precision electro-mechanical and electro-optical systems
Work in an advanced multidisciplinary R&D environment
Build prototypes and support transition to serial production

We are looking for an experienced Electronics Engineer / Practical Electronics Engineer to join our multidisciplinary R&D team and support the development of advanced electro-optical systems.

In this role, you will be responsible for electronic board bring-up, debugging, repair, testing, calibration, and system integration. You will work closely with electrical, mechanical, and system engineers throughout the product lifecycle, from early prototypes to production and deployment.

This position is ideal for someone who enjoys practical engineering work, solving complex hardware issues, and working on mission-critical technologies in a dynamic development environment.



Responsibilities

Perform bring-up, debugging, validation, and repair of electronic boards for advanced electro-optical systems.
Troubleshoot analog, digital, power, and communication interfaces using oscilloscopes and other laboratory equipment.
Perform board-level modifications, rework, repairs, and validation according to engineering requirements.
Work closely with hardware design engineers to investigate failures, improve designs, and resolve technical issues.
Support PCB manufacturers and assembly partners throughout production, troubleshooting, and quality processes.
Execute and support environmental testing of electronic boards and electro-optical systems.
Collaborate with mechanical engineers on system integration, thermal considerations, cable routing, and assembly optimization.
Develop, document, and perform calibration procedures for electro-optical systems.
Document test results, failure analysis, corrective actions, and engineering activities.
Support continuous improvement of laboratory processes, production readiness, and engineering workflows.

You will guide and mentor our electrical technicians and manage subcontractors, vendors, and suppliers to ensure high-quality, on-time delivery. The role requires deep experience working with EO system electronics, including board-level definitions, mixed-signal design, high speed cameras pipeline, and complex system integration. Your leadership will directly impact on the reliability, performance, and operational capabilities of our tactical EO products.



Responsibilities

Lead end-to-end electrical design of complex EO systems, from concept to validation
Define board-level architecture across analog, digital, power, and high-speed domains
Oversee PCB design and collaborate with external partners and manufacturers
Drive bring-up, debugging, and validation of mixed-signal boards
Perform root-cause analysis and resolve complex electrical issues
Work cross-functionally to ensure seamless system integration
Develop and execute test plans at board and system level
Manage component selection (BOM), vendors, and suppliers
Mentor technicians and support lab activities

We are seeking for a passionate and skilled Validation Engineer to join our core R&D team. As a Validation Engineer, you'll play a critical role in ensuring the quality, reliability, and performance of our state-of-the-art quantum control systems. You will design, develop, and execute validation plans for complex hardware-software systems, contributing directly to the advancement of quantum technologies.
This role is ideal for engineers with good programming skills, a strong technical culture, and a passion for working at the intersection of software, hardware, and quantum science.
Main Responsibilities:
Design and Implement Validation Methods: Design, implement and execute comprehensive validation test plans for our quantum control platforms and solutions
Automated Tests and Automation Frameworks: Contribute to the development of automated testing infrastructures to streamline validation processes and implement system tests based on the defined test plans
AI/ LLM Tools: Apply AI/LLM tools to accelerate test code generation and continuously improve the validation toolchain, driving measurable gains in engineering productivity
Data Analysis: Collect, interpret, and document data from system tests/experiments to assess system performance and identify areas for improvement
System Debugging & Troubleshooting: Identify, reproduce, and analyze issues across system components with other engineering teams
Collaborate Across Teams: Collaborate closely with R&D and product teams to define test coverage and quality acceptance criteria
Release & Quality Assurance Process: Participate in regression testing and CI/CD for new feature rollouts and product releases
Maintain and Improve Test Setups: Oversee the setup, calibration, and enhancement of test equipment and environments.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

As part of our Silicon Technologies group, youll help design our next-generation, power-efficient, system-on-chip (SoC). Our wireless SoC organization is responsible for all aspects of wireless silicon development. With a particular emphasis on highly energy-efficient design and new technologies that transform the user experience at the product level. Joining this group means youll be responsible for crafting and building the technology that fuels our devices. Together, you and your team will enable our customers to do all the things they love with their devices.

If you enjoy a fast-paced and challenging environment, and collaborating with people across different functional areas as well as thriving during crisis times, we encourage you to apply.

Responsibility of block and/or sub-system micro-architecture and design implementation.
Work with architects and system teams to define the right solution for the product requirements.
Implement block and/or sub-system design, analyze performance and power and support verification teams.
Responsibility of FE flows such as synthesis, CDC, RDC and Lint to ensure high quality production worthy design.

We are looking for a hands-on engineer to join our Platform Architecture post-silicon team. This team analyzes and tunes the performance and power of Apple Silicon for the Mac, and takes the learnings and measurements to drive SoC architecture change for future chips. If you work comfortably across the hardware/software stack, and the idea to bring up brand-new chips that just arrived from the fab does not scare you but gets you excited, when we would like to hear from you.

You will join a multidisciplinary team of architecture, silicon design, and system software engineers driving the performance and energy efficiency of Apple SoCs. The work spans application software, system software, SoC architecture, and microarchitecture, and sits at the intersection of measured silicon behavior and forward-looking architecture definition. You will build a deep understanding of how current and planned Apple products behave end to end, and use it to influence both hardware and software direction.

Responsibilities
Tune and define SoC memory and fabric performance state controllers on unreleased silicon, and propose improved control and observability mechanisms for future generations.
Plan and execute architecture studies that drive performance and energy-efficiency decisions for future SoCs.
Build tools, workflows, and automation for repeatable analysis of simulated and measured data, including terabyte-scale traces from prototype devices.
Architect hardware features that improve workload characterization and enable robust online control of power and performance.
Debug complex interactions between system software and SoC hardware.
Assess the feasibility of future use cases, SoCs, and products.
Communicate findings across chip design, architecture, software, and system teams to enable data-driven decisions.