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We are looking for a highly organized and detail-oriented Intern to join our Operation & Maintenance team at Sungrow Israel.
This is a full time back office intern position focused on computer-based work, supporting the daily operations of the team, including CRM and service request management, scheduling and coordination of field activities, documentation, reporting, and administrative support for our Energy Storage System projects.
The role requires strong organizational skills, ownership, and the ability to manage multiple tasks and interfaces simultaneously while ensuring smooth operational flow behind the scenes.

Responsibilities:
1. Back Office and Administrative Support:
Providing administrative support to the service team, including coordination, follow-up on open tasks, documentation, reports, and maintaining accurate records according to internal procedure.
2. Issue Routing and Follow:
Identifying system alerts, routing them to the relevant internal expert, and following up to ensure issues are handled and closed in a timely manner. You do not fix technical problems; you manage the flow.
3. Scheduling & Coordination:
Managing calendars, maintenance activities, deadlines, and internal scheduling to ensure tasks are completed on time and properly coordinated.
4. Data & System Monitoring:
Collecting and reviewing operational data from Energy Storage System plants, monitoring system performance, and identifying irregularities to ensure accurate documentation and follow-up.

*Part-Time or Full-Time Opportunity

Responsibilities:
The research focuses on designing next-generation rack and SuperPod architectures that combine elasticity through resource pooling with optimal performance enabled by holistic co-design across applications, parallel programming models, interconnect fabrics, and compute, memory, and switch chip architectures. On the communication side, the work architects scalable, high-bandwidth, and low-latency scale-up fabrics across multiple chips at rack and SuperPod scale. On the memory side, it explores richer protocol semantics beyond traditional load/store operations to reduce unnecessary data movement and rethinks memory hierarchies to expose large-scale capacity with near-local latency. On the compute side, it analyzes the requirements of General Compute and Generative AI workloads and their parallel programming models to fully leverage large-scale system resources.
Investigate and prototype new architectural features, including but not limited to:
o Tiered Memory: Explore advanced memory organizations, including hardware-managed caching, to enable software-transparent, fine-grained promotion and demotion of cache lines across the memory hierarchy.
o Prefetching/Speculation: Evaluate and design existing and next-generation hardware prefetching and speculation mechanisms to effectively hide local and remote memory latencies at rack and SuperPod scale.
o Near-Memory/Network Processing: Develop support for key primitives executed at the memory and network layers to minimize unnecessary data movement across sparse, dense, and pointer-based data structures.
o Workload-Centric Co-Design: Study optimal parallelization strategies at rack and SuperPod scale for both General Compute and Generative AI workloads, and design dedicated hardware support for widely used parallel programming primitives such as RPCs and collective communication.
Write reports and papers on the research results and present them.

Joining us means being part of a company that solves real problems for real customers, while giving you the chance to grow, learn, and make an impact. 

What will your work be like? 

Develop backend features in modern C++ for a large-scale, production-grade system.

Investigate and resolve challenging bugs involving distributed systems, concurrency performance, and reliability.

Gain experience with linux, virtualization, storage, networking, and cloud technologies.

Joining us means becoming part of a company that solves real problems for real customers while giving you the opportunity to learn, grow, and make an impact.

What will your work be like?

Join a Zerto development team working in an Agile/Scrum environment.

Develop new features and solve challenging bugs.

Contribute to a distributed, multi-service system with complex business logic.

Work with a modern, continuously evolving technology stack, including Kubernetes, .NET Core, virtualization APIs, and more.

Use AI throughout the software development lifecycle-including research, design, coding, code reviews, environment provisioning, product deployment, and bug analysis-with tools such as GitHub Copilot, OpenCode, Atlassian Rovo, and MCP servers.

As a Product Owner, you will join the product owners group, responsible for delivering customercentric
solutions for thousands of customers worldwide. Working closely with experienced Product
Managers, Engineers, Designers, and business stakeholders, you'll contribute to product discovery,
prioritization, and execution while developing a deep understanding of how enterprise products are
built, delivered, and continuously improved.


In this role, you will:

Own the product lifecycle of one or more Zerto product domains, from discovery through delivery and adoption.

Develop a deep understanding of customer challenges and business needs through direct engagement with customers, Customer Success, Support and Sales.

Collaborate with Engineering, Product, Marketing, Sales, Customer Success, Support, and Executive leadership to deliver customer-centric solutions.

Translate customer problems into valuable product solutions.

Manage and continuously refine the product backlog, balancing customer value, technical complexity, business priorities, and engineering capacity.

Prioritize features and enhancements while considering customer impact, technical dependencies, delivery timelines, and strategic objectives.

Partner closely with Engineering throughout the development lifecycle to clarify requirements, resolve trade-offs, and ensure successful delivery.

Use data, product analytics, customer feedback, experimentation, and AI-powered insights to support product decisions and measure success.

Leverage modern AI tools to accelerate product discovery, documentation, competitive research, customer feedback analysis, and day-to-day product execution.

Identify opportunities to improve both our products and the way Product teams operate.

Present product initiatives, roadmaps, and outcomes.

Define, track and continuously improve product KPIs, adoption, and customer satisfaction metrics.

Required Software Intern (Malshab)
As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

Required Hardware/Silicon Engineering PhD Intern, 2027
Please complete your application before 23rd October 2026.
We encourage you to apply as early as possible as we review applications on a rolling basis.
This internship is intended for students in their second or final year of education in an accredited full-time PhD degree program in Israel. Participation in the internship program requires that you are located in Israel for this role for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2026 (starting in May, June or July) for the duration of the program. Individuals applying for this position will not be eligible for immigration sponsorship.
About the job
The Cloud and AI Infrastructure team in Israel focuses on building our next-generation systems. The teams work is grounded in creating custom hardware, and as an Intern you'll get to collaborate with engineers from various parts of the organisation to influence the future of Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything from Cloud, to our most advanced models like Gemini.
As an intern, you will work on fundamental problems at the intersection of hardware, software, and algorithms. You will collaborate with exceptional engineers and researchers on projects that directly impact our custom silicon portfolio, including general-purpose CPUs, highly specialized AI accelerators like our Tensor Processing Units (TPUs), and complex Systems-on-a-Chip (SoCs). Your responsibilities and projects will be tailored to your expertise and could focus on any part of the system stack. This may include:
Algorithmic Innovation: Developing and analyzing new algorithms that are deeply co-designed with our custom hardware.
Software and Compilers: Building the software stack, compilers, and performance analysis tools that unlock the potential of our unique architectures.
System Architectureand and Modeling: Architecting and modeling future CPUs, TPUs, and SoCs to guide critical design decisions.
Hardware Design and Verification: Contributing to all aspects of silicon creation, from logic design and verification to VLSI physical implementation.
Responsibilities
Responsibilities and detailed projects will be determined based on your educational background, interest, and skills.

As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for our Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.

This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous 0 to 1 environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.


Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.

Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.

Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.

Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.

Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.

Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.

Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.

Document work clearly and share implementation details with team members to support continuity and knowledge sharing.

Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.