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As a manager in the RTL/FE CAD team, you have the opportunity to shape the future of chip design and impact our engineers who develop the next generation of our products! You will lead a high-impact team that develops software solutions used by thousands of RTL design and integration engineers globally across all chip families (iPhone, iPad, Mac, Apple Watch, and more).
In this role, you will be a key catalyst in transforming front-end hardware design into a modern, agile discipline. You will spearhead the transition to agentic workflows-redefining how RTL and integration teams operate in the AI era. This role combines deep knowledge of RTL/FE flows with modern software engineering practices, people leadership, and a transformative vision for engineering methodology.

Responsibilities
People Leadership: Lead, mentor, and grow a team of ~20 CAD engineers, driving talent acquisition, technical mentorship, performance management, and career development.
Agentic Flow & Methodology Transformation: Drive the team and broader RTL/FE community toward agentic workflows. Act as an organizational change agent, pioneering modern, agile methodologies that transform daily design and integration practices.
LLM Harness & Agentic Tooling: Own the architecture and execution of the LLM harness for RTL/FE flows (e.g., autonomous violation triage for Lint/CDC/RDC, intelligent connectivity synthesis, and design assist agents). Establish rigorous benchmarks to continually evaluate and elevate workflow accuracy and autonomy.
RTL Integration & Connectivity Tooling: Own end-to-end RTL integration tools, including connectivity generation, SoC assembly automation, IP packaging, and structural checks.
Static Sign-off Checks: Drive methodology, deployment, waiver governance, and sign-off metrics for Lint, CDC, RDC, and related static verification domains.
Roadmap & Milestone Alignment: Define strategic roadmaps and near-term execution plans aligned with multi-project tapeout milestones and long-term organizational goals.
Stakeholder & EDA Vendor Partnership: Collaborate closely with RTL design and integration leads to turn evolving design challenges into robust software solutions. Partner with EDA vendors to resolve escalations and influence tool roadmaps.
Software Excellence: Champion software engineering best practices, modern Python development, scalable cloud architectures, and robust CI/CD infrastructure within CAD.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
The IoE group specializes in making SolarEdge devices smarter and more connected. What You Will Be Doing:
* Develop and design high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Optimize and enhance the performance of existing software components.
* Collaborate with hardware engineers to ensure seamless integration between hardware and software.
* Lead technical discussions, code reviews, and mentor junior engineers.
* Participate in the full software development life cycle including concept, design, development, deployment, and support.
* Leverage cutting-edge AI tools and the latest development features to accelerate development, improve code quality, and drive innovation across the team.
* On the Interface team, you'll develop the core infrastructure handling all communication between the device and external systems — cloud, mobile, and other on-site controllers — deployed across millions of devices worldwide.


Country:
Israel

City:
Herzliya

Our Applied Science group builds the intelligence behind the marketplace. We turn large volumes of unstructured data into structured understanding, and use it to connect the right people with the right work. We are a small team with an unusually large surface. We own the full path from raw data to production AI systems, and we are actively expanding what that platform can do. In this role, you will design, build and operate AI systems that run continuously in production: large volumes of unstructured data in, models and pipelines in the middle, structured signal that teams across us build on back out. The scope runs from data pipelines and retrieval infrastructure through to model quality, evaluation and cost. This is a hands on senior role, and you will help define how these systems get built here rather than inherit someone else's answer.
What am I going to do?
* Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
* Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
* Build the retrieval and serving layers that make our data usable in real time.
* Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
* Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
* Build agentic workflows that makes the whole team faster, and help set the standards others work to.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

we are looking for a talent software engineer to join our ethernet switch sonic network os.we have amazing gpus that power ai applications, but they also require a high-performance network to support them. as a team member, you will have the opportunity to create innovative software that optimizes ai networks for the best performance possible. in this position you will take part in sonic large worldwide community, contributing new features, bugs fixes and have our switch products running with sonic nos in production in different clusters over the world.
what you'll be doing:
design and implement features as part of the sonic release train on top of our switch products.
be part of our sonic r&d team, contribute code to sonic worldwide community.
work in a continuous deployment environment of fast development/deployment cycles.
work with experienced teams which are well known in the sonic community.
widely considered to be one of the technology world's most desirable employers, we offer highly competitive salaries and a comprehensive benefits package. as you plan your future, see what we can offer to you and your family.
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

our team is looking for a senior DevOps engineer to join us and take ownership of the ci/cd infrastructure, automation pipelines, and development tooling that power our engineering teams. this position plays a key role in enabling fast, reliable, and scalable software delivery - from code commit to TEST execution and reporting. you will be the go-to expert for DevOps practices, collaborating closely with software engineers, validation teams, and infrastructure stakeholders across the organization.
what you'll be doing:
design, implement, and maintain ci/cd pipelines for software and validation projects, ensuring fast, stable, and automated delivery workflows
own and evolve the DevOps infrastructure - including build systems, artifact management, deployment automation, and environment provisioning
develop and maintain automation tools, scripts, and integrations that streamline Developer workflows and reduce manual overhead
collaborate with validation, infrastructure, and software engineering teams to define and enforce DevOps best practices across the organization
monitor system health, pipeline reliability, and build performance; identify bottlenecks and continuously improve observability and stability
manage containerization and orchestration solutions (docker, kubernetes) for TEST environments and internal services
support the integration of automated testing frameworks into ci/cd flows, ensuring TEST coverage and results are tracked and visible
evaluate and introduce new DevOps tooling and methodologies to keep the team at the forefront of engineering efficiency

we are powering the world's most advanced ai factories. keeping them running depends on our ai ops platform for large-scale ai infrastructure - continuously ingesting telemetry from gpus, nics, switches, and links across the fleet, and delivered both as a high-scale saas service and as self-contained on-premises software for enterprise customers.
we are looking for a senior software engineer to help make this platform deployable, operable, and scalable across customer-controlled environments ranging from a single node to tens of thousands of gpus. this role sits at the intersection of platform software and runtime reality: packaging, configuration, deployment automation, upgrades, survivability, and large-scale operational correctness.
what you'll be doing:
build the deployment platform underneath the product: packaging, configuration, environment validation, upgrade paths, rollback flows, and runtime safeguards.
own deployability across kubernetes, cloud, on-prem, and restricted or air-gapped environments.
design and improve the mechanisms that make the system installable and supportable at scale: helm charts, deployment manifests, configuration schemas, dependency validation, readiness checks, and operational tooling.
partner with backend and feature teams to ensure services are production-ready on day 1 and still correct on day 400.
improve platform resilience: design for partial failure, misconfiguration, restarts, state loss, and degraded environments.
turn scale and benchmark findings into concrete deployment guidance, sizing recommendations, and supported topologies.
help evolve the platform from legacy deployment models toward a modern kubernetes-based operational model.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
We are looking for a junior C# software developer to join our dynamic and unique core technology ATE SW team. SolarEdge's ATE (Automatic Test Equipment) group is at the forefront of developing high-volume production line hardware-based testers for end-of-line product assembly. Our testers are developed in-house, encompassing hardware, mechanics, and software, ensuring top-notch quality and performance. This is an exciting opportunity to contribute to SolarEdge's productivity and innovation!
?What You'll Do
* Responsible for the entire development process, from gathering requirements to implementation, including post-release support.
* Develop, test, and maintain C# .NET applications using .NET Framework, .NET Core, and ASP.NET.
* Work closely with the Hardware team on joint projects.
* Develop software for automated hardware tests, drivers, and communication protocols.
* Use AI coding assistants (e.g. GitHub Copilot, Claude) as part of the day-to-day development workflow.
* Contribute to new projects and provide support for existing ones.
* Assist in resolving production issues and analyzing failures.

Country:
Israel

City:
Herzliya

about the role
the control system specialist is responsible for supporting daily operations and projects with installation, configuration and maintenance of process control & automation systems including programmable logic controllers (plcs), human machine interface (hmis) and scada systems.
key responsibilities
responsible for interpreting control philosophies, cause & effects, p&ids and developing, testing, documenting, and maintaining rockwell controllogix plc & factorytalk hmi based systems and archestra system platform object-based programs, templates, processes, and tools to manage and sustain programming code for offshore and high-pressure gas production facilities.
supports project activities including facility design, construction, commissioning, troubleshooting, managing, and maintaining scada, dcs, sis, hmis, plcs, pcn servers & applications and communication systems reliability and availability.
maintain scada data reporting systems, support operations production reliability and optimization efforts and support pcn information risk management (irm) compliance.
train and mentor operations and maintenance personnel.
familiarization with the following software packages preferred:rslogix 5000, studio 5000.
factory talk asset center
factory talk view me & factory talk view se
archestra system platform
wonderware intouch

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.

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.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.