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Join our outstanding team and contribute to our legacy of innovation in the Senior Product Quality and Reliability role! We are dedicated to pushing the boundaries of pioneering technology. The Senior Product Quality and Reliability Engineer will provide leadership and management for the Networking system product quality within the organization. Establish, maintain, and optimize an effective quality management methods and target to achieve high quality performance.

As part of our team, you will work on networking system products and ensure their readiness for high-volume manufacturing. Leading and mentoring root cause analysis for issues related to design, manufacturing or customers. Enhance and improve products performance by proactive risk assessment and other prevention methods. This is an outstanding opportunity to be part of a company that is crafting the future of AI and computing.

What youll be doing:
Own Product Quality and Reliability performance of Networking system products. Providing leadership expertise in product performance and quality.
Maintain and monitor product health thru structured routines and metrics, enable effective alert mechanism for early identification
Lead structured problem solving and risk assessment for quality issues originating from production and customer. Ensure product readiness for HVM manufacturing and scale
Responsible for customer quality issues and working within organization to resolve
Lead critical processes for product performance e.g - CRB, PCN ; Non conforming material review - MRB
Drive continues improvement initiatives in design, verification and validation processes, manufacturing quality throughout the entire product life cycle and improvement plan.

As an AI/ML Solution Engineer in the AI-Native Development team, you will design and build AI-powered development pipelines, evaluate ML approaches for code generation and review, and drive the adoption of AI-assisted software development across the organization. You will work at the intersection of machine learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make AI-generated code reliable, high-quality, and trustworthy.

What you'll be doing:

Drive architecture, applied research, and hands-on development by defining and building AI-native software engineering solutions.

Design and build AI-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.

Evaluate and select ML approaches for specific problems: when to use LLM prompting vs. fine-tuning (QLoRA), classical ML (random forest, linear regression) vs. reinforcement learning, RAG vs. structured extraction.

Architect feedback and evaluation systems that measure and improve AI output quality over time.

Review and refine AI solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.

Lead proof-of-concept development to validate new AI/ML approaches for development tooling.

Collaborate with the core team to define risk-based development levels and calibrate AI review depth per level.

This role brings together horizontal ownership across engineering process, security coordination, developer productivity, DevOps, integration, and product usability. The leader will define clear operating models, remove execution friction across organizational boundaries, and ensure that DOCA software, tools, and workflows are robust, secure, integrated, and intuitive from development through deployment. The ideal candidate is comfortable leading people, working across engineering groups, understanding complex system-level software, and translating operational, security, integration, and usability challenges into clear priorities, ownership, and measurable improvements.

What you'll be doing:

Lead the DOCA Process and Productivity function, including cross-organizational process execution, DevOps, integration, UX/usability, security process coordination, and developer productivity initiatives.

Own and improve operating mechanisms across DOCA R&D, QA, release, security, integration, DevOps, lab infrastructure, and partner teams.

Serve as the Security Point of Contact for the DOCA framework, driving secure development workflows, vulnerability handling, security reviews, incident management, and alignment with NVIDIA security requirements.

Drive improvements in build, validation, release readiness, automation, CI/CD, lab workflows, deployment experience, documentation, and end-to-end engineering productivity.

Lead, mentor, and grow teams while helping the organization make multi-team workflows more predictable, transparent, secure, automated, accountable, and efficient.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs.

Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence.

Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips.

We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards.

Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects.

We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software.

What you'll be doing:

Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response.

Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.

High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.

Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.

Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.

Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.

Required Senior AI Product Manager - Sales Intelligence
The Most Interesting Corner:
We reveal everything that happens online. But in the Sales Intelligence (SI) department, we dont just show data-we make it act.
Think of SI as a high-growth startup embedded within a data giant. We sit on top of one of the world's most sophisticated datasets, but we operate with the speed, agility, and "build-it-ourselves" mentality of a day-one venture. We aren't just building another B2B dashboard; we are redefining the "B2C-style" experience for the modern seller.
Why this role is a game-changer:
Most sales tools are built for managers and "Ops" (the backbone). This role is for the Salesperson. Your mission is to build the "Superpower Suite" for Sales Persons, SDRs, Account Executives, and CSMs. We are on a crusade to delete the admin work that every salesperson hates. If a task is "boring," "manual," or "admin-heavy," your job is to build an AI product that does it for them-so they can get back to what they love: winning deals.
How we build with AI:
We don't just talk about AI; we live in it. The SI department is a playground for builders.
The Stack: We are deeply embedded with tools like Claude, Cursor, and AI-driven code/design workflows.
Rapid Prototyping: We build our own prototypes and products in-house, collaborating tightly with a world-class R&D team that moves at lightning speed.
Agentic Future: We are moving beyond simple automation. You will define the strategy for AI Agents and AI Skills-autonomous systems that can research prospects, handle "boring" outreach, and deliver real-time "what to say next" cues during live calls.
A day in the life...
Hustle Research: Deep-dive with Sales and CSM teams to find the friction. If theyre spending 2 hours a day on "manual research," youre there to turn that 2 hours into 2 seconds.
B2C Mindset in B2B: Design tools that are as addictive and intuitive as your favorite consumer apps. If its not a joy to use, its not finished.
AI Orchestration: Lead the charge on Agentic Workflows. Youll define how AI "skills" (like predictive lead scoring or automated prospect discovery) fit into a seamless seller journey.
Cross-functional "Startup" Mode: Partner with data scientists to turn complex signals into simple "buying cues" while acting as the bridge between "what's possible" and "what's usable."

Power the Future with Us! SolarEdge (NASDAQ: SEDG) is a global leader in high-performance smart energy technology, with over 4,000 employees, offices in 34 countries, and millions of products installed in more than 133 countries. Our diverse product offering includes intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. With world-class engineering and a relentless focus on innovation, we are creating a world where clean, green energy from the sun powers our homes, businesses, and communities. We are looking for a Battery Test Technician to join our advanced energy storage R&D group. The team is in responsible to develop, test and validate battery safety features.
Responsibilities:
* Plan, execute, and monitor battery experiments in the lab, ensuring accurate data collection and documentation.
* Responsible for maintaining, improving and running of test lab and its equipment.
* Collaborate with cross-functional teams including hardware, software, and system engineers to integrate algorithms into production systems.
* Troubleshoot issues, perform root cause analysis, and maintain structured knowledge for future reference.

Country:
Israel

City:
Modiin

Were looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.
Why is this role so important?
We are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create and support a complex data model pipeline that helps analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data engineer in the Datalabs team, you will work on the very core of the company. Part of your role will be to create processes that help turn raw data into usable metrics and leverage AI models and statistical algorithms to support out-of-the-box requests from customers who want custom data labs. The Datalabs departments business-oriented nature also means you will be supporting a team of analysts and data scientists who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class data labs.
So, what will you be doing all day?
Building and maintaining our big-data pipelines
Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
Implement solutions in the AWS cloud environment, and work in Databricks with PySpark

The ASPM group is pioneering a new era of Application Security. By blending rapid innovation with real-world customer insights, we are building a transformative platform designed to obsolete legacy challenges and redefine the AppSec standard.
Join the ASPM group as a Senior Backend Developer where youll have a direct hand in shaping our technical roadmap. Were deep in the GCP/K8s/TypeScript ecosystem, building a security product that actually solves field problems. We need someone who is passionate about clean, cloud-native architecture and ready to lead technical initiatives.
Key Responsibilities
Be a key contributor to designing and building our cloud-native platform that secures the modern software development ecosystem, focusing on application security posture (ASPM).
Own complex backend features from concept to production, directly shaping the core infrastructure and services of this critical security offering.
Partner with product managers, architects, and engineers to deliver impactful, high-quality security solutions to our customers.
Continuously evaluate and adopt new tools and technologies to improve development velocity and enhance the capabilities of our product.
Be an advocate for clean code, scalable architecture, and strong engineering practices.

We are looking for a Senior Staff C++ Engineer to join our Tel Aviv R&D center and take a key engineering role within the Cross Platform Agent team.
Key Responsibilities
Lead the design and implementation of critical Cortex Agent components deployed across endpoint platforms (Windows, macOS, Linux) and cloud-native environments.
Build and maintain high-quality, production-grade software in modern, high-performance C++, owning the full lifecycle from design and implementation through automated test development and production support, including the handling of escalated cases.
Own the ongoing maintenance, hardening, and operational stability of the Defender in cloud-native environments.
Own the reliability and operational stability of the Defender components written in Go (Golang), focusing on production support, incident investigation, root-cause analysis, and hardening in large-scale cloud-native customer environments.
Address complex security, reliability, and performance challenges across large-scale endpoint fleets and distributed cloud environments, including Kubernetes, containers, and container runtimes.
Investigate and resolve complex production and field issues, translating operational insights into scalable, resilient, and efficient system improvements.
Raise the bar on engineering quality by effectively leveraging AI tools in software engineering, leading pragmatic design discussions, conducting focused code reviews, and continuously improving system robustness, correctness, and performance.

We are a top global leader, manufacturing smart energy solutions. The company's broad range of products encompasses intelligent inverter and Storage systems & SST solutions; by doing that, we are changing the way electricity is being produced and consumed around the world. In this position you will be a part of component's team and deal with the qualification of electronic and electro-mechanical parts and in the failure analysis of failed parts. Component reliability team deals with challenges related to reliability of components in future products, products in mass production and help with analysis of components in products that failed in field.
What will you be doing in this position?
Prepare TEST plans, assemble TEST setups, collect data and summarize the results. Software Development of automated hardware tests, drivers, protocols ( C #/ Python ) Design and operate automatic testers and TEST setups to simulate operating life and reliability of the components. Analyze failed products or components to gain understanding of the physics of failure

Country:
Israel
City:
Herzliya

Were looking for a Multi-Brand Social Growth & Community Manager (B2C) to build, scale, and operate the social presence, communities, and growth engines of multiple consumer brands across global markets.
This is not a standard social media role.
It is not about managing one brand page, one geography, or one content calendar. This is a RARE opportunity to shape social strategy, community infrastructure, creator programs, and scalable growth systems across multiple B2C products, multiple platforms, and multiple audience segments inside a unique organisation.
The right person for this role lives and breathes social. They understand internet culture, creator ecosystems, platform behaviour, community psychology, and the technologies that power modern social operations. They think like a builder, act like an owner, and know how to take something from 0 to X with real proof to show for it.
Why is this role so important?
Youll work across multiple B2C brands and global audiences, requiring both strategic thinking and strong execution. Youll build social and community capabilities for products serving tens of millions of users, collaborating across marketing, creative, product, and analytics teams. The role goes beyond posting; focusing on community building, creator ecosystems, scalable systems, experimentation, and measurable growth impact.
What will you be doing all day:
Build and grow social media communities across multiple B2C brands and platforms
Own the social & community engine end-to-end: strategy, content, publishing, engagement, and optimization
Develop and execute global social, influencer, and creator strategies across different markets and audiences
Create and manage content calendars aligned with brand, product, and business goals
Identify, recruit, and manage influencers, creators, ambassadors, and partners
Build scalable playbooks, frameworks, and workflows across multiple brands
Spot trends and turn them into relevant, high-impact content opportunities
Collaborate closely with marketing, product, analytics, and creative teams
Analyze performance and continuously optimize for growth, engagement, and impact
Use AI and modern tools to improve content creation, workflows, and insights
Monitor conversations, sentiment, and risks, and act quickly when needed.