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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

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.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS. We have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have our Switch products running with SONiC NOS in production in different clusters over the world.


What you'll be doing:

Design and implement features as part of the SONiC release train on top of our Switch products.

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.

We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people. We are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality.

What youll be doing:

Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities.

Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.

Architect and deliver LLM-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and test flakiness prediction.

Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling.

Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team

We are looking for a team lead who brings both managerial and technical skills to lead our customer engagement team. Your primary focus is your team and the people in it, and we expect you to build a great team with a high-performing culture and values.
The key responsibility for this role is to lead a strong, cross-functional Scrum team of 10+ engineers comprising Backend, Mobile, Frontend, QA, and Data Science. You will drive the domain focused entirely on improving customer Lifetime Value (LTV). This is a highly complex and impactful role where you will oversee the development of top-notch platform tools, manage our robust retention system, and pioneer cutting-edge AI capabilities for both in-house and external users.
This role offers a unique opportunity to lead one of the departments largest and most impactful teams, with a strong organizational focus on expanding AI capabilities and driving innovation across customer engagement platforms.
What youll do:
Continuously inspire and develop your team of highly skilled engineers and data scientists.
Evangelize best engineering practices focusing on Agile/Scrum.
Bridge the gap between product/business goals and technical delivery by leveraging your strong understanding of the business landscape.
Play a key role in architectural and strategic decisions, specifically tailoring solutions for a large Cloud/SaaS B2C system.
Collaborate with other development teams, product managers, UI/UX designers, and others to maintain high levels of visibility, efficiency, and collaboration.

We are looking for a Product Analytics Team Lead who brings both analytical expertise and managerial skills to lead our product analytics team. This is a highly complex and impactful role where you will play a key part in bridging the gap between data insights and product strategy, ensuring that our data-driven approach continues to drive innovation and business growth.

Drive Strategic Insights: Generate quantitative insights for product development teams with the aim to improve decision-making and drive business impact.
Influence Product Direction: See beyond numbers and take part in informing, influencing, supporting, and executing product launches, plans, and directions.
Data Storytelling: Translate research data and findings into actionable/strategic insights using strong storytelling, data visualization, and presentation skills.
Effective Communication: Deliver analysis results clearly and effectively leveraging excellent communication skills, both on a per-need and ongoing basis.
Data Infrastructure & Integrity: Build and maintain reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data reported.
Experimentation Strategy: Plan, conduct, and interpret the results of A/B tests in order to optimize existing and implement new product features.
User Behavior Analysis: Apply your expertise in quantitative analysis and the presentation of data to understand how our users interact with our products.
Cross-Functional Leadership: Be the data & analytics lead in various projects and work closely with different teams across the company to define the data we should collect and track on an ongoing basis.
Goal Setting: Collaborate with different teams to define and set KPIs and goals, design and evaluate experiments, and monitor key product metrics.
Team Leadership: Guide the team on how to harness complex organizational interfaces, initiating and driving projects from beginning to end.
Mentorship & Growth: Build the best product analysts team by recruiting and staffing, and by educating and mentoring members so they become strong analysts.
Experimentation Culture: Work towards developing a culture of experimentation in the R&D organization with all the supporting systems and infrastructure needed.

Were looking for a Product Designer who can operate across the full design spectrum - from UX strategy and user flows to high-quality UI and scalable design systems. strong product designer who loves getting technical.
This role combines deep product thinking with strong visual execution and system-level ownership. Youll play a key role in shaping user experiences while building and maintaining the foundations that enable teams to design and scale efficiently.
Collaboration & Process
Work closely with Product Managers, Designers, and Engineers