לוח משרות דרושים הייטק תוכנה התמחות, לחיפוש זה נמצאו 7 משרות !

*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.

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.

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.

We are looking for a research intern to join us for a research project aimed at publication at a top-tier venue. The intern will design and develop novel systems that explore the interaction between human pose understanding and vision-language models (VLMs), advancing how these modalities can be combined to reason about human motion, activity, and embodied behavior across images and video.

Our group develops hand and body pose tracking algorithms for our various devices and applications. One such example includes the hand tracking input for the Vision Pro.

Responsibilities
Design and implement novel methods that integrate pose representations with vision-language models, targeting established academic benchmarks.
Collaborate with researchers and engineers on the team to produce a publication-ready contribution.
Benchmark against established evaluation suites and iterate toward state-of-the-art results.

We are looking for a motivated SRE Intern to join our Site Reliability Engineering team in a part-time capacity. This is an exciting opportunity to gain hands-on experience operating large-scale, multi-cloud production infrastructure that powers a real cybersecurity product. You'll work alongside experienced SREs on the systems and automation that keep our platform reliable, observable, and secure.
Responsibilities:
Help build and maintain automation and tooling that improve the reliability and operability of our production environments
Work with Kubernetes and multi-cloud infrastructure (AWS / GCP / others) under the guidance of senior engineers
Contribute to our observability stack - dashboards, alerts, and monitoring - to help us detect and understand issues faster
Write scripts and small services (Python / Go / NodeJS) to automate operational tasks and reduce manual work
Participate in investigating and resolving production issues, learning real-world incident response and troubleshooting
Collaborate with developers and SREs across the team to ship and operate changes safely.