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Required Customer Support Engineer
Requirements
As a Technical Support, you will be regarded as a product expert and, as such, you will be involved in daily technical operations and escalations. The main responsibilities include performing customer installations and technical evaluations, developing and testing and solutions in strategically and tactically significant applications and use cases, including File protocols, Machine learning, Object Storage, and high-performance computing, at customer sites and in the lab. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customer and the development team.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

Product Validation department is looking for an Validation Engineer . Our department is responsible for delivering high quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for customers around the globe and as our Validation Engineer you will be interacting with most of departments, to achieve goals.
What will your job look like:
Testing and evaluating the systems performance in both hardware and software aspects.
Writing test plans according to system's requirements, to ensure high quality products.
Executing Manual tests as well as built-in automated test sets.
Installing debug systems and sensors on development vehicles internally and providing support to automotive customers.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, 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.
A global technology company is seeking an experienced Director of Logistics to lead and oversee the company’s worldwide logistics operations. Responsibilities:
* Lead and manage global import and export operations, ensuring compliance with international trade regulations.
* Oversee a large logistics workforce, including several dozen employees across diverse logistics functions.
* Develop and implement strategies for operational excellence, scalability, and efficiency in logistics processes.
* Establish and maintain KPIs to monitor service levels, costs, and performance.
* Drive continuous improvement initiatives to optimize supply chain and logistics flows.
* Manage relationships with global freight forwarders, shipping lines, customs brokers, and other logistics partners.
* Collaborate with cross-functional teams (Operations, Manufacturing, Supply Chain, Finance, and Sales) to ensure alignment and smooth product flow.
* Ensure adherence to compliance, safety, and quality standards in all logistics operations.
* Lead large-scale projects to support business growth, including process automation and system implementations.
* Provide strategic direction while maintaining hands-on oversight of day-to-day logistics challenges.
* Develop, mentor, and retain top talent within the logistics organization, building strong leadership pipelines.

Country:
Israel

City:
Herzliya

We are looking for an experienced individual to join a team that is responsible for developing our cutting-edge collection, prevention and protection technologies using both documented and undocumented proprietary kernel mode techniques.
The tam develops the core kernel technologies for a wide variety of products, from EDR to next-gen AV, including work that encompasses many aspects of kernel development, from infrastructure through filter drivers to function hooking, to name a few.
In this position you will:
Write kernel software that can reach the depths of the operating system.
Implement novel collection and protection techniques.
Write robust driver infrastructure.
Optimize for extreme performance constraints.
Research uncharted territories of the Windows kernel, drivers, APIs, and internal mechanisms.

We are an established and innovative engineering and manufacturing company that specializes in rugged tablets and Mobile Data Terminals (MDT) for mission critical markets in the transportation/vehicle industry. We have been in business for several decades and remain an industry leader. We have a need for a full-time Embedded QA Engineer.
Areas of Responsibility
The duties and responsibilities include, but are not limited to, the following:
Essential Functions:
Embedded QA Engineers primary responsibilities will include but are not limited to:
55% Design, Develop, Test, Document and Maintain Test setups, Test scripts and Software Applications to Troubleshoot, Diagnose or Qualify software and hardware components of the tablets.
40% Maintain expert level of product knowledge and applications to provide product support and training to customers and partners.
Understand field technology, systems, and applications to contribute to the support team in product training, troubleshooting and procedures.
Resolve customer issues or difficulties in a manner that is consistent with the company mission, values, and financial objectives.
Research, Identify, Develop, Document and Recommend corrective measures to address technical issues identified in the field or in-house.
5% Work closely with internal engineering teams to ensure that they are meeting the customers needs and be a liaison to the customer.

Were looking for an AI Specialist- Automation & Integrations- a hands-on builder who works directly with business teams to design, build, and ship real AI-powered and automated solutions.
This is not an R&D or advisory role. Its a delivery-focused position for someone who enjoys turning complex, manual workflows into smart, scalable AI solutions that are actually used across the organization.
Youll play a key role in enabling non-R&D teams to adopt AI in a practical, measurable way- helping us move faster, work smarter, and scale impact through AI.
If youre ready to transform theoretical AI into operational excellence, were looking for you, we have 3 open positions for impact-driven builders to join our mission.
Responsibilities
Partner with teams across Marketing, CX, Legal, Finance, HR, Product IT and Operations to spot high-impact opportunities for AI and automation.
Prioritize use cases with stakeholders based on impact and feasibility
Design, prototype, and ship AI-powered solutions using LLMs, automation platforms, agent frameworks, and no/low-code tools.
Establish and maintain AI foundations (connectors, reusable components, templates, knowledge patterns)
Build real, working proof-of-concepts - connecting APIs, and orchestrating workflows
Enable and support AI Champions with playbooks, Gyms, and training
Stay up to date with emerging AI technologies, evaluating which models, architectures, and tools can deliver the greatest value to the business, while maintaining close alignment with the R&D AI guild and other technical AI teams across the company.
Measure adoption and impact - whether that's increased velocity, cost savings, accelerated revenue, or reduced errors - and iterate based on feedback and real outcomes.
Create documentation, reusable components, and playbooks that help more people across experiment with and scale AI.

DealHub is leading in the field of business application and with its unique quote-to-revenue solution helps the hottest names in the industry increase their revenue and manage their growth. We are looking for a highly skilled Solution Architect to design, guide, and support complex customer solutions across the quote to revenue lifecycle. In this role, you will work closely with Sales, Customer Success, Product, and Engineering to translate business requirements into scalable, technically sound solutions. You will play a critical role in solution design, customer onboarding, and ongoing optimization—acting as a trusted technical advisor with deep understanding of revenue, billing, and sales processes.
Key Responsibilities
* Design end-to-end customer solutions aligned with business and technical requirements.
* Lead technical discovery and architecture discussions with customers and internal teams.
* Advise on best practices across revenue, billing, pricing, quoting, contracts, and sales workflows.
* Support complex implementations and integrations, including APIs and data flows.
* Partner with Sales during pre-sales.
* Act as a technical escalation point for complex customer challenges.
* Collaborate with Product and Engineering to influence roadmap based on customer needs.
* Create and maintain solution documentation and architecture artifacts.

We are looking for a bright, highly motivated Junior Software Engineer to join our core R&D team. You will work directly with veteran engineers and founders, gaining hands-on experience across our entire cutting-edge stack. This is an accelerated growth opportunity where you will contribute to the infrastructure securing the next generation of AI agents and SaaS ecosystems.
What Youll Do:
Feature Execution: Work across the full stack (React, Python, Go) to build and ship features that solve real-world security problems.
Data at Scale: Assist in developing and maintaining high-performance data pipelines using Spark, Iceberg, and Clickhouse.
Infrastructure & DevOps: Get hands-on experience with modern cloud infrastructure, learning to deploy and monitor services on AWS and Kubernetes.
Quality & Excellence: Write clean, maintainable code and participate in deep-dive code reviews to ensure our platform remains robust and scalable.
Rapid Learning: Quickly master new technologies and security domains, moving from guided tasks to independent ownership of components.

We are looking for an exceptional Graduate Software Engineer to join our founding R&D team. This is a rare opportunity for a talented individual with zero professional experience to start their career in a high-growth startup environment.
You will be working with veteran engineers to build the infrastructure that secures the next generation of AI agents. We are looking for the engineers of tomorrow-those who have the theoretical depth to understand complex systems and the drive to learn a massive, cutting-edge tech stack from scratch.
What Youll Do:
Deep-dive into our tech stack (Python, Go, React, Spark, K8s) through hands-on tasks and self-learning.
Take responsibility for sub-features and components, moving from development to production deployment on AWS.
Learn to work with massive data scales, helping to optimize our pipelines using Spark and Clickhouse.
Learn the Wing Way of engineering-writing clean, tested, and performant code that stands up to the rigors of cybersecurity.
Investigate bugs and performance bottlenecks, applying your academic knowledge of algorithms and systems to real-world challenges.

we are looking for a Deep Learning Algorithm Developer - ADAS group
As part of the algorithm team for the next generation of autonomous driving, you will:Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.