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You'll be a key part of the Cortex Cloud DevOps group, responsible for ensuring our high-scale production services are reliable, secure, and performant. You'll have a direct impact on hundreds of developers by improving their daily workflows.
Your Career
Design and scale: Architect, build, and maintain production services for our thousands of Kubernetes clusters.
Infrastructure as Code: Develop and manage infrastructure as code to orchestrate our production and development environments.
Security first: Secure our production environments and integrate cutting-edge security tools and features.
Improve developer experience: Propose and implement processes and improvements that enhance the workflow for hundreds of developers.
Build and automate: Create robust CI pipelines and automation processes.
Collaborate: Partner closely with development teams to enhance software architecture for improved scalability, reliability, and cost-efficiency.

We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.

As a Senior Technical Product Engineer, you will be a key bridge between the product and the field, ensuring our product meets customer needs and that customers maximize its value. You will act as the product expert for customers and field agents, managing technical engagements from pre-sales to post-sales. Your role involves designing integrations and translating customer requirements into scalable product capabilities, ultimately shaping the future of our offerings.
Key Responsibilities
Collaborate with Sales, Product Management, partners, and customers to drive innovation and ensure secure, scalable adoption of AES solution.
Lead complex, cross-functional projects that shape the product roadmap and align with field-driven priorities.
Design and oversee customer POVs, deployments and integrations (APIs, workflows, security controls) and identify new integration opportunities.
Provide actionable feedback to Product Managers to influence development in areas such as cloud posture, workload protection, and identity management.
Design and deliver automation content, playbooks, and lead enablement initiatives across partners, sellers, and customer facustomer-facingcing roles.
Advocate for best practices in securing modern application architectures using automation, contextual risk insights, and risk driven policies.

Required PreSales Solution Engineer
Description
About us
Come shape the future of privacy & AI governance.
Were building a new way to make it work - autonomous, continuous, and aligned with how modern businesses actually operate.
About you:
You are a solution-oriented sales professional with expertise in presales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients.
You will:
Operate consultative with prospects and existing customers to define their challenges and opportunities. Map these challenges to the ecosystem by presenting differentiating and sustainable business value.
Full ownership to the success of customer PoC/Pilots through effective management of acceptance criteria and issue escalation/resolution. Run Security Questionnaires with prospects, and master the ability to demo vendor risk assessments.
Educate and become a trusted advisor and challenge assumptions and current status while delivering value to prospects and customers.
Present art of the possible and think outside the box approaches to implement privacy solutions.
Support technical and business discovery activities including workshops, and demonstrations, across multiple opportunities
Work closely with the sales team on account strategy and identifying additional opportunities in existing and new accounts.
Develop and deliver exceptional and engaging company/product presentations and demonstrations.
Work with all technical levels.
Be the technical product expert and advisor for customers and stay up-to-date on the data solutions competitive landscape.
Partner with Product Management and Engineering to provide feedback from the field and represent the customer perspective.
Identify and write internal and external technical collateral, like typical deployment architectures or best practices and industry standards.
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples).

Imagine what you could do here. , new ideas have a way of becoming extraordinary products very quickly. Do you want to bring passion and dedication to your job? There's no telling what you could accomplish at Apple. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices - strengthening our dedication to leave the world better than we found it. Do you want to join us to help deliver the next groundbreaking Apple products?

As a member of our CAD team, you will architect, develop, maintain and improve physical design verification (PDV) flows. The role requires you to work on flow and run-set development for various technology nodes and tool sets. Working alongside the CAD team, you will be collaborating with the custom digital/analog/mixed-signal design, physical design (PD) and chip integration teams. You will need to have a deep understanding of design rule checks (DRC) and layout versus schematic (LVS) runsets, writing from scratch and/or modify existing ones. Also, you should have worked with Dummy Metal Fill generation and Design for Manufacturability (DFM) rules at different technologies.
Responsibilities
Develop, improve and maintain all aspects of physical verification flow and methodology
Coordinate the effort of validating flows, improving for custom checks and data generation
Work with the design and PD teams to facilitate the chip design process
Code custom PDV rule decks such as Electrical rule checks (ERC) and Programmable ERCs
Collaborate with tool vendors and foundries for PDK performance enhancements

We are looking for a software engineer with strong backend skills, a product mindset, and the curiosity to bring LLM-powered agents into the toolchains and Linux environments where chips are actually designed. Success in this role means owning the agentic infrastructure end-to-end: from the platform our agents run on, to the integrations that let them safely act inside our customers' existing flows.
Description
You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

* Architect, build, and operate the agentic infrastructure our team relies on:including LLM orchestration, tool-calling layers, multi-agent workflows, and the services that host them.
* Design and implement software solutions for chip design engineers, translating their workflows into reliable, automated agent-driven systems.
* Integrate our agents and services with existing Linux-based environments, in-house tools developed by the team, and third-party EDA tools.
* Manage agentic and ML workflows in production to ensure performance, high availability, and resource efficiency.
* Deploy and maintain production services, with proactive monitoring to catch quality and infrastructure regressions before they reach users.
* Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases.
* Partner with CAD teams to integrate pipelines and agents into CI/CD, ensuring reliable deployments and safe rollbacks.
* Implement access controls, authentication, and secret-handling practices appropriate for working with sensitive design data.
* Collaborate closely with ML engineers, researchers, and our customer teams.

As a Silicon Validation/Emulation Design Engineer, you will work in a team developing Wireless SoCs with custom hardware accelerators, as well as multiple ARM-based sub-systems. You will be a key contributor in our pre-silicon hardware validation efforts using Cadence Palladium emulation platforms, enabling early system integration and hardware validation. You will work closely with SoC architects, RTL designers, and verification engineers to ensure our designs are thoroughly validated before tape-out. You will help define the processes, methods, and tools for emulation environment development and debug of large complex SoCs.
If you enjoy a fast-paced and ambitious environment, collaborating with people across different functional areas, and thriving during crisis times, we encourage you to apply and join us!
Description
Building and maintaining Palladium emulation environments, including compile flows, netlist preparation, memory modeling, and clock/reset configurations.
System-level debug and root cause analysis of complex hardware issues on the emulation platform.
IP-level debug and validation, working closely with IP owners to isolate and resolve design issues.
Development and implementation of automation aids, flows, and scripts to improve Palladium build efficiency, debug turnaround, and platform utilization.
Performance profiling and optimization of emulation models to maximize execution speed.
Collaboration with multi-disciplinary groups to make sure emulation deliverables are on schedule and support critical program milestones.
Responsibilities
Own and maintain Palladium emulation build flows for SoC and subsystem-level models
Drive debug and triage of emulation model issues, working with RTL designers and verification engineers
Support system-level hardware validation efforts and hardware integration
Develop reusable debug methodologies and collateral to accelerate issue resolution
Optimize emulation model performance through compile tuning, partitioning strategies, and platform configuration
Thoroughly document flows, debug procedures, and best practices
Collaborate with cross-functional teams to define emulation requirements and support prototype hardware validation

We are looking for an AI Tech Lead to join our M&T engineering organization - the team behind a live, high-availability TV platform serving telecom and media companies worldwide at 99.995% SLA on AWS.
Were not looking for someone who talks about AI strategy. Were looking for someone who picks up a real problem, finds where AI creates a step-change, and makes it happen.
This is an individual contributor role reporting directly to the VP R&D. Youll be embedded in M&T but will work closely with engineering teams across our R&D - contributing your AI expertise to shared initiatives, building collaborative relationships, and helping move technical work forward together.
If youre the kind of engineer who gets restless when theres a better way and no one is building it yet - this role is for you.
The day-to-day:
Lead AI-driven initiatives across M&T engineering - from scoping and architecture through hands-on execution
Drive adoption of AI tooling and practices across Dev and DevOps teams, both within M&T and cross-org
Identify opportunities where AI can improve engineering velocity, incident response, cost efficiency, and system reliability. Work across teams and departments - align stakeholders, unblock dependencies, and keep initiatives moving
Collaborate with group managers and engineers to translate AI capabilities into practical, production-grade solutions
Stay ahead of the curve: evaluate emerging AI tools, frameworks, and approaches and bring the relevant ones in
The perks:
Hybrid, flexible work environment
Extended private health (including mental) insurance
Personal and professional development programs
Occasional Cross company long weekends.

You will be part of the DevEx team which is in charge of significantly improving the productivity, efficiency, and satisfaction of developers across the organization. You will take a leading role in the team, build easy-to-use platforms, lead wide-impact projects, mentor team members, developers and keep innovating with new tools, workflows, deep dives and adHoc POCs. This role requires a blend of deep hands-on technical expertise, strategic vision and mentoring skills to drive the team to excellence in a culture of developer-centric workplace.



Key Responsibilities:

Lead Initiatives: Own the design and delivery of high-impact developer platforms, CI/CD evolution, AI tooling and more, from ideation through production rollout and adoption.
Drive Excellence: Set a high bar for system design, code quality, scalability, and reliability across platforms. Act as the go-to expert for complex technical challenges.
Hands-on: Design and build scalable, self-service developer platforms, with strong focus on usability, performance, observability and cost efficiency.
Mentorship and Guidance: Mentor engineers through design reviews, pair programming and knowledge sharing. Elevate the technical capabilities of the team.
Cross-Team Focal Point: Collaborate closely with stakeholders and infra teams to influence architecture, improve client experience and ensure solutions are widely adopted.
Lead by Example: Demonstrate strong ownership, execution speed and high-quality delivery standards in day-to-day work.

As the Director of AI Enablement, you will be a key executive leader, visionary, and the driving force behind the adoption and integration of cutting-edge AI technologies across Skai. Your mission is to head an engineering and innovation group that keeps the company at the absolute forefront of the AI revolution, systematically leveraging GenAI, automation, and agentic workflows to radically accelerate our organizational velocity and capabilities.

We are looking for an experienced group manager, someone with an entrepreneurial spirit, a bold vision, and the executive leadership skills to drive AI-stack change. Leading a talented group of engineering specialists, you will act as our chief scout and architect for internal AI innovation. You will evaluate emerging AI tools in the market, discover what truly works, listen closely to our employees' workflows, and lead the end-to-end implementation of AI solutions that redefine how Skai operates.

As part of your work you will be responsible for:

Group Leadership & People Management: Direct, mentor, and scale a high-performing group (including pod leads and specialists), fostering innovation and execution excellence.
Drive Skais AI Strategy & Vision: Define the high-level roadmap to embed GenAI and advanced AI tooling into our day-to-day operations and ecosystems.
Entrepreneurial Project Execution: Act as a "builder" - conceptualizing raw ideas into concrete AI projects and pushing them from fast PoCs to full operational deployment. Continuously research global AI tools and autonomous agent frameworks.
Listen to Our Teams & Identify Needs: Partner with internal teams to understand workflows and bottlenecks, turning feedback into actionable AI initiatives that boost efficiency.
Cross-Functional & Matrix Leadership: Drive AI adoption and cultural transformation by building alignment across R&D, Product, Operations, and Business units.

A leading-edge company that develops, manufactures and markets state-of-the-art printing solutions for the textile, garment & apparel decorating industries, looking for a Mechanical Designer
Reports to: Mechanical Team Leader
Location: Afek Industrial Park, Rosh Haayin
What will you do?
Mechanical design and implementation of multi-disciplinary printing systems.
Lead the mechanical design from feasibility through all design and product life cycles.
Take part in relevant professional forums and multi-disciplinary workgroups.
Prepare drawings, specifications, and work instructions.
Provide technical support of manufacturing, assembly and product support groups.
Technical support of functional and reliability testing.

We are seeking an experienced and hands-on engineering leader
to drive product quality, reliability, and performance across NPI, manufacturing, and the installed base. The role serves as a technical focal point for complex multidisciplinary issues, leading investigations, task forces, and improvement initiatives that enhance product quality , manufacturing readiness, and customer satisfaction.
What Will You Do?
Product Quality and Reliability:
Own product quality and reliability performance across NPI, manufacturing, and the installed base.
Define, monitor, and analyze quality metrics, reliability indicators, and field performance trends.
Consolidate quality and performance data from internal operations, contract manufacturers, and field systems into actionable insights and management dashboards.
Lead root-cause investigations and corrective/preventive actions (CAPA) for high-impact product and field issues.
Identify systemic issues, prioritize improvement opportunities, and drive cross-functional execution plans to improve product quality, reliability, and customer experience.
NPI, Manufacturing & Installed Base Support:
Drive quality and reliability readiness throughout NPI, validation, and production ramp-up activities.
Lead investigations into complex production, integration, and field failures involving multidisciplinary system interactions.
Partner with Manufacturing, Service, Operations, and Supply Chain teams to improve product stability, serviceability, and operational performance.
Drive implementation of calibration, alignment, validation, and test methodologies that improve quality, consistency, and manufacturing efficiency.
Support contract manufacturers and production teams in resolving critical technical and quality-related challenges.
Continuous Improvement & Change Management:
Lead engineering improvement initiatives based on production performance, customer feedback, reliability data, and field experience.
Drive product robustness, manufacturability, serviceability, and lifecycle performance improvements.
Own execution of Engineering Change Orders (ECOs), product structure management, and change implementation through CCB processes.
Lead periodic product performance reviews and drive closure of improvement actions across functions.