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we are looking for a Supply & Demand Planner.
What will you do?
Own global demand forecasting for spare parts and material, based on data, trends, and input from business units.
Translate demand into actionable supply plans using
Oracle Cloud ERP
Partner with Procurement, Engineering, Warehouse, and Customer Success teams to
resolve shortages, expedite supply, and implement changes
(ECOs, NPIs, phase-outs).
Collaborate cross-functionally to support product transitions and customer delivery KPIs.
Monitor and improve key planning metrics: Forecast Accuracy, Inventory Turns, Plan vs. Actual, Delivery SLAs.
Analyze supply risks and continuously improve planning tools and processes.

We are looking for a dedicated and customer-focused Customer Success Engineer to join our team. In this role, you will be responsible for ensuring that our customers derive maximum value from our products post-purchase. You will act as a vital link between our technical teams and customers, providing training, deployment support, and ongoing engagement to foster strong relationships and drive customer satisfaction.
Responsibilities:
Customer Usage: Collaborate with customers to drive usage means segmenting assets and users effectively, ensuring tailored deployment support and engagement strategies.
Training Delivery: Conduct comprehensive training sessions for customers following procurement, equipping them with the knowledge and skills to utilize our products effectively.
Regular Engagement: Schedule and conduct regular touch bases with customers.
Technical Issue Resolution: Lead with extreme accountability to resolution, customer issues in collaboration with support and R&D.
Customer Relationship Management: Build and maintain strong relationships with customers, understanding their goals, challenges, and feedback to enhance their experience with our products.
Feedback Loop: Gather customer feedback and insights to relay to internal teams, contributing to product improvements and enhancements.

we are looking for a Oracle Logistics & Procurement Business Application Analyst.
What will you do?
IT professional focal point in Oracle fusion in the Logistics & Procurement modules
Ownership of several logistics modules in ERP and other related systems
Characterization & implementation of specific needs in the system
adjusted to existing process.
Characterization & implementation of new processes
Write design documents including technical design
Software testing for new developments
Conducting system training for new users and periodic training for
existing users
Providing daily service to the systems users in the HQ and in the Ink Plant
Control and support interfaces between the organizations systems

We are a development team (R&D) building a client-server system on Microsoft Azure, operating over an advanced cloud-based data infrastructure. We are currently transitioning from a legacy SQL Server and Analysis Services stack to modern platforms including Snowflake and Azure Data Explorer (ADX).
As part of this transformation, were looking for a sharp and driven Data Analyst to help us extract insights, shape our data for Machine Learning and AI, and directly influence business decisions.
What will you do?
Analyze complex datasets from diverse sources (Snowflake, ADX, logs, APIs, etc.).
Identify actionable insights and communicate findings clearly to business and product stakeholders.
Build dashboards and monitoring tools using Power BI / Tableau / Looker (or similar).
Collaborate with development, product, and data engineering teams.
Prepare and process data for ML/AI purposes (feature engineering, labeling, etc.).
Lead ad-hoc analyses and data-driven PoCs to support decision-making.

Were looking for a Full-Stack Team Lead to join our Tel Aviv office (Hybrid) and take full ownership of a cross-functional product squad, including a cross-functional engineering team, a Tech Lead, and QA.

This is a high-impact leadership role at the intersection of people, product, and technology. Youll drive execution, delivery, and team health - partnering closely with Product, Design, and the rest of R&D to bring complex features to life, scale our systems, and ship customer value quickly and reliably.
Youll set the tone and culture for your squad, mentor engineers and leads, and turn business goals into measurable outcomes.
Expect real autonomy, hands-on impact, and the opportunity to build something that matters in a fast-moving, product-led environment.
Responsibilities:
Lead a cross-functional squad of engineers and QA through product delivery from roadmap to production
Partner with Product and Design to plan features, define priorities, and scope trade-offs
Own system architecture, delivery velocity, and long-term maintainability
Mentor engineers and Tech Leads, grow their capabilities, and support career development
Write and review high-quality code (~20% hands-on)
Guide technical decision-making and conduct design and architecture reviews
Ensure production health through observability, incident response, and performance improvements
Promote a culture of quality, agility, and continuous improvement
Collaborate cross-functionally with other squads, DevOps, QA, and leadership

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.
Responsibilities
Conduct cutting-edge research and experiments in computing and mathematics.
Develop and optimize mathematical algorithms and computations.
Explore new approaches in graph theory, clustering, and related fields to advance a pioneering general-purpose coprocessor architecture.
Analyze data and apply machine learning techniques to improve performance and insights.
Contribute to technical blogs, whitepapers, and scientific publications.
Collaborate with cross-functional teams to translate research into practical solutions.

we are seeking a highly skilled Senior AI Engineer to design and implement complex, multi-agent systems powered by LLMs.
In this role, you will build and orchestrate AI agents using LangGraph and LangChain, manage stateful conversations, and support scalable RAG pipelines that connect external knowledge sources to reasoning agents. Youll work closely with product and backend teams to deliver real, production-grade AI capabilities.
Responsibilities:
Agent Orchestration: Design, build, and maintain networks of LLM-powered agents that collaborate, share context, and reason together to execute complex workflows.
LangGraph Architecture: Implement and manage LangGraph graphs that handle message memory, context persistence, and multi-step task coordination.
RAG Pipelines: Optimize RAG systems to enrich agent reasoning with relevant, up-to-date information.
Prompt & API Composition: Build modular prompt templates and API calls that agents use for reasoning, retrieval, and action execution.
Integration & Deployment: Work with engineers to integrate the agentic framework into production systems via APIs and backend services.
Evaluation & Iteration: Implement evaluation frameworks to measure performance, reliability, and consistency of AI responses across multi-agent pipelines.
Cross-Team Collaboration: Partner with product and engineering teams to align AI behaviors with real user workflows and KPIs.

We are seeking a top-notch AI Runtime Team Lead to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. The AI Runtime is the layer responsible for attaching the AI framework and optimizing the accelerator runtime to best execute the AI workload.You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues. In this role, youd be responsible for leading and executing cross-team SW development activities from start to finish.
Responsibilities
Lead the development and execution of the AI runtime software stack, including team building and strategic planning.
Full responsibility for the technical aspects of the solution in the application Runtime flow and guide the team's implementation.
Taking an active role in hands-on implementation and providing technical guidance to team members.
Set a high bar for the software development cycle and code quality, and actively mentor others to achieve it. Guide other developers in the team as part of the joint effort.
Wide system impact through collaboration with the other SW teams.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on our AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.
The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.
Responsibilities
Lead and mentor a team of AI application and performance engineers.
Run and optimize AI workloads (LLaMA, DeepSeek, etc.) and execute MLPerf benchmarks.
Analyze end-to-end performance and identify HW/SW bottlenecks.
Develop optimization strategies across models, kernels, frameworks, and runtime.
Build profiling, debugging, and validation tools for large-scale AI workloads.
Collaborate with hardware, compiler, and device software teams to improve performance.

We are seeking a top notch software engineer to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.
As part of the memory system team, you will work on design and implementation of new and enhanced features of the memory system to support high performance computing and AI applications in the Maverick accelerator runtime environment.
You will work closely with software engineers, hardware engineers, compiler developers and other stakeholders to enable the most efficient execution of applications on a large scale, multi threaded and highly distributed system across multiple disciplines with a deep OS Internals point of view.
Responsibilities
Work on design and implementation of new and enhanced features of the memory system for the Maverick accelerator
Develop a high performance, low latency distributed unified virtual memory management system
Work on system software support for the next generation Maverick system
Define feature development scope and plan for successful product delivery.
Wide system impact through collaboration with software engineers, hardware engineers, compiler developers and other stakeholders.

We are searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctness and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.

, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Algorithms

we are looking for a Physical Design Technical Leader.

we are looking for a ASIC Logic Design Engineering Technical Leader.
our Impact:
Write and review micro-architecture specifications
Implement RTL (Verilog/SystemVerilog) to meet timing, performance, and power requirements
Contribute to full chip integration, timing methodology, and analysis
Collaborate with verification engineers to resolve bugs and achieve coverage closure
Work with the physical design team to close timing and PnR issues
Support design methodology evolution and best practices
Perform debug, root-cause analysis, and post-silicon validation in the lab

we are looking for a Senior CAD Engineer.
What you'll do
You'll be joining our Physical Design team within Silicon One, which is responsible for the entire backend methodology and flow development from RTL to GDS. This is a critical part of the group leading the development of high-quality VLSI designs.
Our Backend Engineers handle all aspects of chip design, including Definition, Physical Synthesis, Place and Route, Optimization, Timing Closure, Design Floor Planning.
You will be the tech lead for CAD within the team, leveraging your extensive backend and physical design experience to drive the development, optimization, and innovation of CAD methodologies and tools, ensuring the highest quality and efficiency in our chip design flows from RTL to GDS.
We demonstrate the latest silicon technologies and processes to build the largest-scale and most complex devices, pushing the boundaries of feasibility.