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Our team is looking for an FW engineer to design, develop, and implement complex SW modules for the production line. The integration will require cooperation with other teams and vendors abroad. Youll be part of a team developing complex and versatile hardware/software integrated solutions for mission-critical tasks in future products.
Are you a big-picture thinker who loves setting ambitious goals?
Do you have a passion for understanding how each line of code affects all the others?
Your dedication to cross-disciplinary collaboration will help develop groundbreaking technologies like iOS, macOS, watchOS, and tvOS. By crafting these distinct, holistic user experiences, youll continue to uphold and advance the excellence people expect from our devices.

Take part in SW design sessions (detailed designs involving system understanding), provide HLD and LLD documentation of central SW modules, participate in the coding of complex SW modules, debug complicated (system-wide) bugs, and lead HW-SW integrations.

Our Chip Design team is growing! Join our high-end product design team and help shape the next generation of advanced semiconductor solutions.
About us
The company has been delivering tens of millions of chips annually to leading tier-1 customers in the Security, Cloud, and Computing domains. We specialize in semi-custom, high-quality solutions, going above and beyond to meet our customers needs. Our Israel Design Center is fully self-contained, covering everything from product definition and architecture to design, software, validation, and TEST - meaning real ownership and no daily late-night calls across time zones We also pride ourselves on a warm, open culture where everyone knows each other, and every engineer can clearly see the impact of their work on the final silicon. We are looking for experienced Chip Design Engineers to join our team and take a key role in RTL design, new IP development, and SOC integration As part of the design team, you will be deeply involved in architectural exploration, protocol evaluation, and hands-on design work across multiple chip blocks. Responsibilities
* RTL design and implementation of new IPs
*  SOC integration and design ownership of chip subsystems
* Exploration and evaluation of new protocols and architectural solutions
* Close collaboration with architecture, verification, validation, software, and back-end teams
* Delivering high-quality, best-in-class RTL that meets performance, power, and area goals Why Join Us?
* Work on advanced, high-volume silicon products
* Real impact on end-to-end chip development
* Collaborative environment with strong technical ownership
* A stable yet agile organization with a human, people-first culture

Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 20+ countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Integration Engineer will develop, perform and analyze System Validation tests and will take part in the system review processes, with an understanding of the market requirement, system design, and the end user’s expectations. What will you be doing?
* E2E responsibilities for SolarEdge system, and product validation and experiments.
* Plan and execute HW & SW system integration tests.
* Understand and study the System operation edges, and system design edges.
* Plan and design manual and script automation tests of SolarEdge Product



Country:
Israel

City:
Herzliya

As a Silicon Engineering Manager you will be responsible for improving silicon-photonics yield and performance through data-driven analysis, cross-functional collaboration and proactive issue resolution.

You will serve as the key interface between R&D, Process and Production teams, ensuring efficient data flow, rapid issue identification and continuous process improvement across wafer fabrication, device testing, and packaging stages.

Responsibilities
Perform silicon process and chip-level data analysis, establishing correlation between chip and wafer performance.
Lead process debug and yield loss analysis at chip/wafer level, driving root cause investigations and corrective actions.
Manage engineering approval forum to release production material.
Collaborate closely with vendors to implement new product tests and resolve technical/process issues.
Act as a key interface between design, testing, and production teams, ensuring alignment across the product lifecycle
Oversee and coordinate the transfer of data related to silicon design, testing, fabrication, and characterization between Production and R&D departments.
Develop and implement data management strategies to ensure data accuracy, security, and accessibility.
Maintain proper documentation of data transfer protocols, version control, and data integrity checks.
Support data analysis efforts to improve silicon performance, yield, and quality.
Ensure compliance with company policies and industry standards related to data security and confidentiality.

Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence.
Were looking for an Experienced Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

our company SOC verification group owns the important and challenging job of verifying our company's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

our company's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates our company's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.
We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.
What will your job look like?
Design, develop, and maintain the Python framework that enables algorithm developers across our company to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface
Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces
Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training
Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between
Contribute to open source when the right fix/feature belongs upstream.

The Road Algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. Our work leverages Deep Neural Networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
We are looking for an Expert Deep Learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment.

we are seeking a strong ML Software Engineer to join our deep learning LiDAR & Radar group and help scale the systems that bring cutting‑edge perception models into production. Youll build the software layers, data pipelines, and runtime systems that turn advanced neural networks into reliable, high-performance solutions running on edge devices.
This is a hands-on, high‑ownership role within a growing group working closely with algorithm developers. The work spans Python and C++, ML infrastructure, model integration, performance optimization, and production delivery.
** The role includes working on-site at our Jerusalem office several days per week.
What will your job look like:
Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
Build ML pipelines for data-based diverse dataset creation and efficient model inference
Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
Partner with algorithm teams to translate model weaknesses into data curation criteria
Develop validation and diagnostics to measure dataset quality-not just pipeline health but training effectiveness
Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
Bring models from research/prototype stage into robust, production‑ready deployments
Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
Contribute to deployment flows (e.g., model conversion, profiling, optimization)
Build and improve CI/CD pipelines, automated testing, and development workflows.

Which department will you join?
Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence.
Were looking for a Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

we are looking for a Real-Time Embedded DSP Software Engineer to join the development of state-of-the-art automotive imaging radar technology.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging our companys assets and expertise in this field. Introducing best in class Radar sensor that would complement our companys end-to-end autonomous driving solution platform
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like?
Design, build and optimize software modules for production grade imaging-radar solution
Implement complex algorithms in a multi-core platform with high bandwidth with distributed memory
Work closely with algorithms teams to convert complex MATLAB code to efficient real-time environment.
Plan memory arrangement, data transfers and pipelining of computation, to maximize DSP utilization.

We are looking for Junior Physicist to be part of the laser and silicon photonics testing and characterization group.

Responsibilities:
Develop new testing methods, plan experiments and analyze test results to enable new product development.
Characterize the performance of lasers and various photonic devices over different conditions to ensure they meet target specs.
Participate and assist in Failure analysis and yield improvement investigations.