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we are seeking a highly motivated  system  architect to join our team of experts and help shape the future of ai & cloud computing. our next-generation bluefield dpus and connectx nics will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to cloud & Storage servers.
what you'll be doing:
define server platform architecture for next generation data center products for ai and cloud, focusing on dense networking solution.
design is highly restricted in space, power and thermals.
define board level and system management architectures for the different platforms
define board level integration and system model for reset, recovery and boot
partner with product, software, design and platform engineering groups for converging plans according to requirements
work with the software team on software and hardware apis
research next generation needs

we are looking for a versatile software engineer to join our dpu platform team. this is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. you will use your expertise in low-level Embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.
what you'll be doing:
designing and developing low-level system software with a primary focus on bootloaders (atf, uefi), firmware, and hardware initialization
working together with hardware and design teams to drive SOC bring-up and platform enablement
solving complex challenges related to boot sequences, system optimization, and hardware resource management
supporting various internal and customer dpu projects alongside our global teams
taking part in all stages of the product lifecycle, with a focus on high software quality and stability
collaborating within a global software environment to have a broad impact across the company

Welcome to Chargeflow Chargeflow is building the operating system for chargeback management. We help merchants automatically fight and recover disputed payments, reducing revenue loss and operational overhead. Our platform processes large volumes of payment and dispute data across merchants, payment processors, and financial systems. As Chargeflow scales its platform and customer base, data becomes one of the company’s most strategic assets - powering better products, smarter decisions, and operational efficiency.
Who We're Looking For - The Dream Maker We are looking for a Head of Data Analytics to build and lead the company’s data platform and data strategy. The Head of Data will own Chargeflow’s entire data platform, research, and data strategy This includes building the data infrastructure that powers the company, establishing reliable company-wide metrics, enabling data-driven decision making, and turning Chargeflow’s dispute and payments data into a long-term product advantage. This is a foundational leadership role responsible for making data a core capability across the organization. The Head of Data Analytics will work closely with Product, Engineering, Operations, and Leadership to ensure data becomes a central part of how the company builds products and runs the business. ?Your Arena ?Data Platform and Architecture - Design and lead the development of Chargeflow’s modern data infrastructure:
* Building scalable data pipelines across product, payments, disputes, and internal systems
* Developing a centralized data warehouse as the company’s single source of truth
* Ensuring data quality, reliability, and observability
* Establishing data governance and best practices Company Metrics and Decision Intelligence - Define and standardize the core metrics used across the company:
* Establishing a consistent metrics framework across product, revenue, and operations
* Building dashboards used by leadership and operational teams
* Ensuring reliable and accessible reporting across the organization
* Supporting data-driven decision making at the leadership level Product Data and Insights - Partner with Product and Engineering to leverage Chargeflow’s unique dispute and payment data:
* Identifying patterns and insights across disputes and recovery performance
* Enabling data-driven product development
* Supporting predictive capabilities and automation in dispute management
* Helping build product features powered by data insights Operational Intelligence - Provide visibility and insights into dispute operations and business performance:
* Building operational analytics dashboards
* Supporting forecasting and capacity planning
* Identifying automation opportunities
* Improving operational performance through data insights Building the Data Organization - Build and lead the company’s data team:
* Hiring and managing data engineers, analytics engineers, and analysts
* Establishing strong data culture and best practices
* Enabling teams across the company to use data effectively
* Ensuring data privacy, security, and governance standards What Success Looks Like - Within the first 12–18 months:
* Chargeflow operates from a trusted company-wide data platform
* Leadership and teams rely on consistent and reliable metrics
* Product teams leverage dispute data to build data-powered features
* Operational performance becomes clearly measurable and optimized
* A strong Data organization is established and growing

we are a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care- from the hospital to the home. We are looking for an excellent Production Quality Engineer to join the QA product team Job Description:
* Serve as owner of the NCMR process: manage the end-to-end handling of non-conforming materials, products, and processes, including initiation, investigation and corrective/preventive actions in accordance with company procedures and regulatory requirements.
* Monitor NCMR process including quality KPIs
* Support for non-conformity investigations and assign effective corrective actions for NCMRs and ensure timely closure and documentation.
* Perform / review Root Cause Analysis as part of NCMR process and assign relevant corrective actions.
* Act as QA representative for Manufacturing Quality process
* Conduct Quality Assurance activities such as data analysis and statistical evaluations, SOP review and approvals, audit preparation Direct Manager: Manufacturing Quality Manager

we have evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing groundbreaking technologies. we deliver the best User Experience for our customers and provide detailed access to workload performance through rich metrics. these metrics help users optimize their ai workloads. we are looking for highly skilled DevOps engineers to join our infrastructure group and help shape the future of ai infrastructure.
what you'll be doing: take full end-to-end ownership of our cloud infrastructure, spanning development environments to production systems across various cloud platforms.
compose, build, and develop the architecture of run:ai cloud-native products for a variety of complex customer environments, including on-premise, and cloud
identify and fix production issues while addressing performance challenges to ensure our systems operate flawlessly.
collaborate closely with cross-functional groups to provide architectural and infrastructure input that builds product direction and composition.
partner with r&d, customer success, Professional Services, and pre-sales teams.
continuously evaluate and implement new tools and technologies to improve our release and product deployment processes.

we are looking for an experienced engineer with a strong background in asic design to join our chip design methodologies team based in tel aviv and yokneam. this team is responsible for establishing asic design methodologies, developing shared code, providing design guidance, and driving the adoption of new technologies. it plays a key role in ensuring chip design teams operate efficiently and adhere to best practices. this role offers an exciting opportunity to think innovatively and make a significant impact within a dynamic, technology-focused organization.
what you'll be doing:
develop ground-breaking methodologies and innovations to create flawless experience in chip design development
utilize, develop and assimilate ai-based tools and flows
collaborate with chip design stakeholders and peers across the teams to understand existing problems and form the best solutions and methodologies
get in touch with eda vendors to learn about cutting-edge tools/technology and apply them into our development process
develop training sessions and guide designers with best design practices
develop shared design code and solutions to be widely used by the chip design team

our company has been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, we are looking for a strong technical dev platform engineer to join us in shaping the future of software development. platform engineers are builders who turn strategy into daily tooling. their expertise is practical and broad. they are hands on, producing reliable infrastructure that teams depend on every day.
as a senior dev platform engineer in the ai-native development team, you will build the infrastructure that enables ai-assisted software development at scale. this includes process workflow automation, multi-agent collaboration platforms, ai-powered review pipelines, and integrations with enterprise tools. you will work closely with development teams to understand friction points and translate them into robust, Developer -friendly tooling.
what you'll be doing:
build and extend process workflow automation tools - managing the pipeline from specification to merge, enforcing review gates per risk level.
design and implement multi-agent collaboration infrastructure - enabling multiple ai agents and humans to work on the same project with isolation, shared state, and handoff protocols.
build ai-powered review orchestration - deploying parallel expert reviewers with domain-specific configurations.
integrate ai development workflows with enterprise tools (issue trackers, source control, ci/cd pipelines) - auto-status updates, ai agent assignment, work breakdown.
develop markdown-based documentation workflows with review plugins.
rapidly iterate on tooling based on direct feedback from development teams.