לוח משרות דרושים הייטק

The ideal candidate will bring our collective creative vision to reality through the authoring of HTML, CSS, and JavaScript (both server and client side). The right candidate will thrive in a collaborative environment and can advocate for exceptional solutions that are in the best interest of the client.

Responsibilities:
Project Manager manage large projects including timeline, budget, scope, C level relationships/expectations. Participate in end to end implementation planning and manage day-to-day execution of project implementations. Assist with the planning, tracking, documentation, issue management and status updates for the project.
Manage end-to-end functionality as it relates to the analysis, design, build, test, and deployment of enterprise level solutions.
Create and manage project plans; monitor and review project progress and timelines; adjust schedules and plans as needed; and identify and resolve issues to ensure project success.
Adopt a standardized development lifecycle methodology for all projects.
Develop and maintain numerous project deliverables that support the solution design including discussion documents and other project artifacts.
Establish and maintain Trusted Advisor status with Project, Business and Technology stakeholders
Facilitate requirements gathering, including review sessions, and assist with the creation of project deliverables, as needed.
Hands-on application configuration/customization to meet client needs.
Manage UAT with end users including coordination and user acceptance signoff.
Collect, formulate, and disseminate best practices on project implementation, solution positioning and delivery. Provide feedback to Engagement Managers and Executive Sponsors when necessary.
Have difficult conversations regarding budget, resources and timeline and formally capture and communicate outcomes of those meetings.
Travel may be required.

We are looking for a talented Data Scientist who is a strong team player to join our Data Science team. As a Data Scientist, you will play a key role in shaping our analytics pipeline. Dive into diverse datasets, using ML algorithms, and lead end-to-end projects - starting from gathering requirements, through development, to deployment and presentation to stakeholders. Your Python expertise, along with data-driven thinking, will contribute to predictive insights and innovative solutions.
Key Responsibilities
Own end-to-end development cycle- from business understanding to development, deployment and monitoring
Develop, maintain and improve advanced AI/ML models with a wide range of tasks and diverse datasets (structured, text, images)
Interpret data using statistical techniques and leverage machine learning algorithms to drive actionable insights.
Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.

In this role, you can lead our teams to deliver fully functional "first silicon" IP designs, from defining initial constraints through high-quality tape-out. You will have the rare and rewarding privilege of crafting upcoming products that will delight and inspire millions of customers every single day.
Responsibilities
Own the entire IP-level netlist generation and timing convergence journey, from synthesis and UPF power intent to final sign-off.
Architect and manage complex timing constraints (SDC) for both standard and custom designs, ensuring sign-off quality from day one.
Drive Full Chip and block-level timing/noise convergence, including hierarchical timing flows and power optimizations.
Collaborate closely with RTL designers to understand clock architecture, DFT teams on mode constraints, and PNR teams to achieve flawless physical convergence.
Develop and support automated block and chip-level sign-off flows, working with CAD teams to shape cutting-edge methodologies that eliminate pessimism and accelerate convergence.
Perform deep-dive signal integrity (SI) and noise analysis, drive custom IP integration, and generate block-level budgets to ensure correlation with the Full Chip.

As a Design Verification Engineer, you will be responsible for ensuring "bug-free first silicon" for complex IP and SoC designs. You will drive all phases of pre-silicon verification, from defining methodologies and test plans to RTL freeze and tape-out sign-off. These roles are highly collaborative, requiring close interaction with architecture, design, and software teams across global sites.
Responsibilities
Architect and develop scalable, portable verification environments, including UVM-based testbenches, protocol monitors, agents, and checkers.
Define detailed test and coverage plans based on micro-architecture specifications and extract features for DV attributes.
Create and simulate test scenarios, perform advanced debugging, and conduct end-to-end simulations of data/control paths.
Drive regression and coverage analysis (metric-driven verification) to ensure the highest quality, productivity, and time-to-market.
Partner with architects and designers from the early stages of feature definition to influence IP/SoC specifications.
Apply formal verification, hardware acceleration, and power/performance (NLP) analysis where applicable.

We are seeking for an individual with the skills and motivation to become a data analyst in a global leading company.
You will get the opportunity to work with talented data analysts worldwide, in a variety of topics using different BI tools in an advanced environment.
Key Responsibilities
You will learn the business needs of the various departments in the organization.
Build analytic reports to provide business insights.
Responsible for the ongoing development of the companies reporting catalog.
Initiate advanced analytics projects.

We are looking for a Mid-level Data Engineer to join our growing Data/MLOps team. The team is focused on building a Data/MLOps infrastructure to support the development of ML and AI algorithms for our next generation iTero scanners.
The position is suited for engineers who like to work with data, build data infrastructure and wish to support algorithm engineers.
The position is based at our Petah Tikva or Caesarea site.
Key Responsibilities
Own significant components in a data infrastructure for AI/Algorithm development.
Work with large image/3D datasets to support the development of real-life ML/AI solutions.
Work with ML / AI engineers to identify future challenges and solutions.
Own the quality of data ingestion pipelines over time.
Consistently demonstrate innovative thinking, strong partnership and high work ethics.

In these roles, engineers will be responsible for the design, development, and bring-up of innovative silicon and system solutions across multiple specialized teams. Responsibilities include participating in SW design sessions, providing HLD and LLD documentation, and coding complex modules that serve as the foundation for our device ecosystem. You will lead HW-SW integrations, debug complicated system-wide bugs with limited visibility, and optimize designs for performance, power, and memory footprints while meeting hard-real-time latency requirements.

This is a highly visible role where you will own the physical design cycle at the partition, IP, and Chip levels-enabling us to produce fully functional "first silicon" designs. Do you love working on challenges that no one has solved yet? If you are ready to join the world's leading engineers and work with state-of-the-art design flows, come join our group.
Responsibilities
You will be responsible for all phases of pre-silicon development, from initial definition to high-quality tape-out (Netlist to GDSII).
Lead block-level Place & Route (PnR), complex floor-planning, partitioning, and the creation of power domains and grid specifications.
Develop and validate high-performance, low-power clock network guidelines and distribution.
Drive static timing closure (STA), Physical Verification (DRC/LVS), and Electrical/Power analysis (EM, IR-Drop, Xtalk, and Noise).
Participate in establishing CAD and physical design methodologies for "correct-by-construction" designs and assist in flow development for chip integration.
Generate and implement ECOs to fix timing, noise, and EM/IR violations while meeting strict area and power constraints.
Work closely with logic design teams on SoC architecture and HDL (Verilog) to implement timing fixes and design optimizations.

We are looking for a Junior AI Agent & Process Automation Analyst to join our Finance team and support a new initiative focused on mapping finance processes and embedding AI agents where they can add value. The role focuses on building autonomous AI agents that can understand their environment, use tools, and execute actions independently within defined finance processes.
Key Responsibilities
Map and document end-to-end finance processes in collaboration with Finance stakeholders.
Identify repetitive or manual finance processes with potential for AI agent automation.
Build and test AI agents that can autonomously perform defined finance-related tasks.
Configure agents to use tools such as APIs, internal systems, and data sources.
Validate outputs, monitor performance, and improve agent reliability over time.
Document agent logic, behavior, and learnings and share with stakeholders.

In this role, you'll be a trusted point of contact for physical site security, ensuring daily operations run smoothly and securely. You'll execute established security plans, respond to incidents, and coordinate with onsite vendor guarding teams to ensure standards are met. You'll work collaboratively with business groups and local leaders to support their physical security needs.

Additional responsibilities include but are not limited to:
- Execute and maintain site-specific security procedures and operational plans
- Manage the onsite vendor guarding deployment on a day-to-day basis, ensuring alignment with Apple's standards and requirements
- Serve as the physical security point of contact for business groups across the Herzliya campus
- Respond to and coordinate security incidents, escalating appropriately
- Support the planning and execution of secure events and assignments on site
- Maintain strong working relationships with other supporting functions, EHS, andPlaces teams
- Manage field security requests for short-term and non-recurring assignments
- Support project activities, including attending meetings and communicating updates.

we are seeking an eCommerce Business Systems Analyst, a highly technical and IT accomplished professional who has a talent and a love for data and software design. In this role, you will help our company customers meet their business goals by enabling them to sell their products online. This person will, through a highly technical lens, coordinate efforts to define, design, and implement eCommerce solutions for our company customers.
What Makes This a Great Opportunity
Bring your technical expertise and prowess into a customer-centric role.
Be part of a growing company set apart by a strong collaborative culture driven by clear core values.
Ability to make an impact quickly with diverse work in a small family-like, professionally-managed, no frills work environment.
Join a company where your talent will be recognized and rewarded and personal and career development is valued.
Essential Duties & Responsibilities
Define data architecture to organize data storage based on use requirements.
Communicate with customers to determine requirements.
Define epics, user stories, functional and technical requirements, and specifications; thoroughly explore APIs to learn what exists and to make recommendations to the development team.
Plan for major design elements by creating wireframes that communicate visual requirements and design to the customer and the development team.
Write functional specifications that accurately reflect the customer's needs and are easy for the development team to understand; conduct code reviews.
Create and execute test plans to verify functionality and minimize release issues.
Manage projects implementing eCommerce solutions for our customers so well that they become raving fans!
Collaborate with team members and customers to gather requirements, define project scope, and ensure timely, high-quality completion of work.
Hold weekly meetings with clients to report progress, taking notes and documenting action items.
Create project timelines and help schedule team members effectively.

The eCommerce Manager role will lead our company eCommerce site transformation and enhancements. S/he will leverage sales and web metrics to make strategic recommendations with a targeted focus on maximizing platform adoption to drive improvement in conversion rate. In addition to serving as the subject matter expert on the Salesforce Commerce Cloud/Demandware platform, s/he will focus on activation of product, content and promotion on the sites.
Job Responsibilities
Merchandising and Website Enhancements
Oversee e-commerce daily operations, performance, analysis and provide insights
Manage site merchandising, troubleshoot on-site bugs and identify opportunities for improvement
Lead A/B testing strategy and QA to improve all web programs
Manage web calendar for product launches, site updates, marketing communications, promotions, etc.
Manage all online product content for web data loads, accurate inventory and product information
Lead coordination between creative and technical teams, suggesting and implementing appropriate strategies for all website operations
Review customer journey through the site, recommending adjustments including site search, navigation, and other features
Aggregate all available data and analytics to accurately identify areas of opportunity for growth
Content Strategy
Support the conceptualization, prioritization and calendarization of digital content/editorial
Measure and monitor content effectiveness and communicate how content strategy is contributing to business goals
Support Executive Director to achieve sales and margin plans
Lead strategy for content linking, product boosting and navigational changes
Reporting & Analysis
Tracks and analyses sales and inventory performance; executes on findings to improve results
Build and refines taxonomy strategy
Analyze the purchase and conversion funnel to better optimize the customer journey
Analyze site logistic reports and partner with merchandising operation teams to optimize business and resolve issues.