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 team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

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.

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 34 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. As a Hardware Team Leader , you'll lead a team of hardware engineers developing the analog and communication circuits at the heart of SolarEdge's solar inverters and optimizers. You'll guide designs through the entire R&D lifecycle - from concept and feasibility studies through simulation, schematic design, and lab verification, all the way to mass production. This is a hands-on leadership role where you'll set the technical standards for the team, mentor engineers in their day-to-day work, and collaborate closely with software, system, mechanical, and production teams to bring robust, high-quality products to market. It's an excellent opportunity for someone who wants to remain deeply involved in analog engineering while developing a team and shaping our hardware design processes. What will you be doing?
* Lead, mentor, and manage a team of hardware engineers specializing in analog circuit design, simulation, and testing.
* Research, design, and develop analog and communication circuits, from initial requirements through to mass production.
* Perform lab characterization and verification of analog circuits using spectrum analyzers, oscilloscopes, and other laboratory equipment.
* Lead design reviews and serve as the technical authority for the team's area of expertise.
* Collaborate with software, system, mechanical, and production teams to ensure seamless hardware-software integration and a smooth transition to manufacturing.
* Manage technical scope, schedules, risks, and product quality across the team's projects.

Country:
Israel

City:
Herzliya

Power the Future with us!  we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 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. we offer 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. We are seeking a sharp, experienced Hardware team leader to lead the design of the digital and mixed-signal boards at the heart of advanced energy Storage products. This is a hands-on technical leadership role for an engineer with deep, real-world experience in the disciplines that make or break a mixed-signal design - grounding, EMI, robust communication, and accurate measurement - and, just as importantly, in how these are verified at the board and full- system level. What will you be doing:
* Leading the HW design of the digital and mixed-signal boards and products, from concept through mass production
* Owning the design of accurate measurements, robust communication, grounding, and power distribution - across the boards and at the system level
* Defining how these are verified and characterized, both on the bench and within the complete system
* Managing and growing the team - owning the team's tasks, design reviews, and timelines
* Leading several development projects in parallel, across all project stages up to mass production
* Working in a multidisciplinary environment and collaborating across departments and sites
Country:
Israel
City:
Herzliya

we are looking for a Senior Backend Developer (C# or Java).
By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Location: Herzliya-Glilot
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

Todays world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at our company around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
We are looking for a Senior Backend Engineer to design, architect, and scale the core software foundation powering our next-gen GenAI Co-Pilot and Decision Flows. Working hand-in-hand with our Data Science team, you will take full ownership of critical components, bridge the gap between advanced AI models and production systems, and deliver high-performance, secure, and scalable solutions that drive real-world impact.
As a worker, you will:
Build platforms that consolidate complex data to help analysts make critical, real-world decisions.
Partner with AI Data Science and Product teams to deliver sophisticated investigative tools.
Ensure high-quality standards for software that directly impact global safety and investigative outcomes.
Mentor engineers and serve as a go‑to person for problem solving.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

We are looking for a Software Engineer specializing in ML Systems Engineering to join Finals Development department.

While vision and language models have become increasingly commoditized, Finals proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.

This is a pivotal role within Finals engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.