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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.