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Role Overview As part of our team, you will join an exceptional group dedicated to providing service and support across all departments, while collaborating on the development of exciting, high-impact products. Key Responsibilities Requirements Analysis & Process Design: Analyze business requirements and design processes within various operational systems. Documentation: Prepare detailed functional requirement documents (FRDs) and document processes and system interfaces. Implementation Leadership: Lead organizational implementation processes to ensure successful adoption. Service Excellence: Maintain a positive, service-oriented mindset to provide high-quality support to internal stakeholders.

Production Planning, develop, monitor and update detailed production plans to ensure timely completion of production schedules. Coordinate with the production team to align resources and timeline. Subcontractor Management, build and manage detailed production plans, including forecasts for subcontractors, ensuring alignment with overall production schedules. Material Coordination, ensure material availability for production by coordinating with procurement and warehouse teams. Report material shortages for the short -term production, track and follow up. Capacity Planning, evaluate production capacity and recommend adjustments to meet short-term and long-term goals. Identify bottlenecks and implement solutions to enhance efficiency.
* Working according to Insightec Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.

Advantages::

* Knowledge of the Priority ERP system
* Experience in Medical Device industry

DRS RADA is a global pioneer in radar systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are seeking a Junior Automatic Test Equipment (ATE) Software Engineer for an on-site position at our manufacturing facility in Beit She'an. As a Junior ATE Software Engineer, you will take part in the development and maintenance of advanced ATE software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology. You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems. Key Responsibilities: ATE Software Development: Participate in the design, development, testing, and maintenance of software for Automatic Test Equipment used in electronic card)PCBA( testing and AESA radar calibration. Integration: Work collaboratively with hardware/system engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation. Debugging and Troubleshooting: Support identification and resolution of software issues, system failures, and compatibility problems. Documentation: Maintain accurate and up-to-date technical documentation. Quality Assurance: Support quality control activities to ensure that ATE software meets project requirements. Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers. Continuous Learning: Stay up to date with industry trends and emerging technologies and contribute to the improvement of ATE software and testing methodologies.

The Nitro core software team develops solutions for the Nitro System-on-Chip (SoC). As a part of our team, you will design, implement, and maintain CI/CD pipelines and automated testing infrastructure for Nitro core software. You will develop and optimize continuous integration and delivery workflows using frameworks such as Jenkins and internal CI/CD pipelines, ensuring reliable and efficient build, test, and deployment processes.

Key job responsibilities
The role includes:
CI/CD Infrastructure Development - Building, maintaining, and improving automated testing pipelines using Jenkins, internal CI/CD frameworks, and related DevOps tooling to enable fast, reliable, and repeatable test execution.
Test Automation Engineering - Developing test scripts, frameworks, and automation solutions for Nitro embedded systems, applying software testing methodologies to ensure quality at scale.
Debugging & Root Cause Analysis - Diving deep into failures across the CI/CD pipeline and embedded software stack, performing systematic debugging, log analysis, and root cause investigation to resolve complex issues and improve system reliability.
Infrastructure as Code - Managing test environments, build configurations, and deployment automation using scripting and DevOps best practices.
Collaboration - Working directly with Nitro core software teams, participating in code reviews, incident triage, and troubleshooting activities to continuously improve development velocity and product quality.
AI-Assisted Development - Leveraging AI-based tools and assistants (e.g., Amazon Q, Copilot, LLM-based analysis) to accelerate test development, failure triage, and code generation workflows.
This role offers hands-on experience in DevOps engineering and test infrastructure for embedded systems, allowing you to apply academic knowledge to practical, production-scale projects. This position provides an excellent opportunity to gain industry experience in CI/CD practices, enhance technical and operational skills, and build a foundation for a career in DevOps, embedded systems testing, and infrastructure engineering.

Our Community team is an integral part of our business with the mission to enable our members to create their lifes work.

In this role, your responsibilities will Include, but wont be limited to:
Membership Engagement & Retention:

- Assume ownership and manage the relationship with key accounts within the building(s) you oversee.
- Ensure all accounts within your building(s) have an assigned point of contact.
- Resolve issues of complexity as escalated to you.
- Monitor the Medallia (member feedback) escalation process to ensure alerts are being properly addressed and the right solutions are found.
- Be accountable for Net Promoter Scores, overall member satisfaction and member retention.
- Review Net Promoter Scores and member satisfaction results regularly to set KPIs and implement building-specific plans.
- Lead building site tours for VIPs as needed.
- Review invoices of flagged accounts and submit corrections to the Billing team.

Building Operations and Management:

- Ensure quality and upkeep expectations are being adhered to.
- Hold the team accountable for general operational policies and standards, as well as financial efficiency.
- Escalate reoccurring issues as it relates to 3rd party vendors to appropriate teams for resolution.
- Be accountable for building-level Opex in partnership with the Operations team.
- Escalate, monitor and see through capital improvement and large customization projects in partnership with cross-functional teams.

Sales:

- Tour and sell space to new and existing members by articulating value proposition.
- Identify the needs of prospective and existing members and recommend tailored solutions responsive to their needs.
- Develop and implement lead generation and sales conversion strategies to maintain 100% occupancy in collaboration with the Sales Lead and sales department..
- Create and maintain relationships with partners in the local ecosystem.
- Train the Community Team to give effective tours and sales pitches.
- Review daily and weekly overviews of prospective members and participate in weekly sales calls.

We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team.

Our team is part of our Personalization organization, a high-performing group that leverages our expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team is building next-generation personalization systems powered by Large Language Models. We are tackling novel research challenges to help customers discover products they'll love - in our our scale and latency requirements. We are a team uniquely placed within us, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.

As an Applied Science Manager, you will lead a team of scientists working at the frontier of LLM-based personalization. You will set the technical vision, drive the research agenda, and ensure your team delivers production-ready solutions. You will hire, mentor, and develop world-class scientists while fostering a culture of innovation and scientific rigor. You will partner closely with engineering and product teams to translate ambitious research into customer-facing impact, and represent your team's work to senior leadership.

We are looking for talented engineers to join our Virtual Platforms team. Virtual platforms play a crucial role in accelerating the development process by enabling early software development, system-level testing, and architectural exploration without the constraints of physical prototypes.

Key job responsibilities
As a Virtual Platform Engineer, you will:
Create and maintain Virtual Platform environments for software development and system-level validation.
Optimize complex hardware-software interactions.
Drive collaboration across all development teams with a strong customer-obsessed approach.

We are seeking an industry-leading Senior Product Manager Technical, to own the vision, development, launch and continuous improvement of AI-powered features personalizing our shopping experiences, making it feel tailored to each customer's needs and preferences.
As a Senior Product Manager, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. Our Senior Product Managers have the freedom (and encouragement) to experiment with new possibilities, improve, invent, and innovate on behalf of our customers.
The right person has high levels of customer obsession, strong technical judgement, demonstrated ability to build scalable processes and products, and is an independent operator, skilled at working cross-functionally to deliver on behalf of customers.

Key job responsibilities
- Lead the vision, definition, and delivery of personalized shopping experiences that drive customer engagement, loyalty, and revenue growth.
- Partner with engineering and science teams to define the technical roadmap - making informed tradeoffs between model complexity, system constraints, and customer impact.
- Design and run experiments at scale to validate hypotheses, measure incremental value, and iterate rapidly based on data.
- Work backwards from customers - using behavioral signals, feedback loops, and quantitative analysis to continuously refine what we build.
- Monitor KPIs and conduct rigorous analysis to measure impact, identify opportunities, and drive continuous optimization.
- Influence product strategy across the broader Personalization portfolio, communicating effectively with senior leadership and cross-functional stakeholders.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

Were searching for sharp engineers to lead cutting edge products, re:inventing super computers and deploy our new SRD (Scalable Reliable Datagram) network protocol into the largest public cloud on the planet! starting from the identification and definition of project requirement, defining SW and HW interfaces, feature development and deployment, to operation support on a very large scale.