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Our Chip Design group is looking for best-in-class Senior Design/ Verification Engineers to join our outstanding Silicon Engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing and verifying our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.



What youll be doing:

Design/ Verification for chip blocks/entities according to specifications, working under challenging constraints with a strong focus on performance.

Engage daily with all aspects of chip development, including Micro-architecture, Firmware, Design/ Verification and Integration.

Work with cutting-edge technology: developing the PCIe Gen7 standard and integrating it across all our chips (GPUs, CPUs, and NICs).

As the Networking Adapter Test System Integrator, you will be at the forefront of advancing NVIDIA's outstanding technology. This role involves direct technical leadership with wide-ranging responsibility and a mix of technical, operational, and project lead duties. You will work closely with internal teams, suppliers, and customers, concentrating on facilitating new product support and scalable test solutions. Your contributions will be crucial in advancing NVIDIAs innovative projects toward successful completion!

What you will be doing:
Leading OSV (On-Site Validation) test system activities, including pivotal post-sales support.
Leading OSV test system projects from concept through delivery and deployment.
Defining technical and operational requirements in collaboration with customers and internal teams.
Managing collaboration with subcontractors and external suppliers to ensure flawless integration.
Initiating and tracking procurement activities with strict attention to detail.
Leading system integration, validation, and bring-up activities to ensure world-class outcomes.
Managing configuration control and technical documentation meticulously.
Defining and implementing test system adaptations to support ambitious new products.
Coordinating activities across engineering, manufacturing, quality, and service teams for cohesive action.
Tracking schedules, risks, open issues, and execution achievements with precision as well as supporting troubleshooting, root-cause analysis, and continuous improvement efforts for outstanding results.

Join our outstanding team and contribute to our legacy of innovation in the Senior Product Quality and Reliability role! We are dedicated to pushing the boundaries of pioneering technology. The Senior Product Quality and Reliability Engineer will provide leadership and management for the Networking system product quality within the organization. Establish, maintain, and optimize an effective quality management methods and target to achieve high quality performance.

As part of our team, you will work on networking system products and ensure their readiness for high-volume manufacturing. Leading and mentoring root cause analysis for issues related to design, manufacturing or customers. Enhance and improve products performance by proactive risk assessment and other prevention methods. This is an outstanding opportunity to be part of a company that is crafting the future of AI and computing.

What youll be doing:
Own Product Quality and Reliability performance of Networking system products. Providing leadership expertise in product performance and quality.
Maintain and monitor product health thru structured routines and metrics, enable effective alert mechanism for early identification
Lead structured problem solving and risk assessment for quality issues originating from production and customer. Ensure product readiness for HVM manufacturing and scale
Responsible for customer quality issues and working within organization to resolve
Lead critical processes for product performance e.g - CRB, PCN ; Non conforming material review - MRB
Drive continues improvement initiatives in design, verification and validation processes, manufacturing quality throughout the entire product life cycle and improvement plan.

We are looking for a Senior Staff C++ Engineer to join our Tel Aviv R&D center and take a key engineering role within the Cross Platform Agent team.
Key Responsibilities
Lead the design and implementation of critical Cortex Agent components deployed across endpoint platforms (Windows, macOS, Linux) and cloud-native environments.
Build and maintain high-quality, production-grade software in modern, high-performance C++, owning the full lifecycle from design and implementation through automated test development and production support, including the handling of escalated cases.
Own the ongoing maintenance, hardening, and operational stability of the Defender in cloud-native environments.
Own the reliability and operational stability of the Defender components written in Go (Golang), focusing on production support, incident investigation, root-cause analysis, and hardening in large-scale cloud-native customer environments.
Address complex security, reliability, and performance challenges across large-scale endpoint fleets and distributed cloud environments, including Kubernetes, containers, and container runtimes.
Investigate and resolve complex production and field issues, translating operational insights into scalable, resilient, and efficient system improvements.
Raise the bar on engineering quality by effectively leveraging AI tools in software engineering, leading pragmatic design discussions, conducting focused code reviews, and continuously improving system robustness, correctness, and performance.

We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today; to govern the accessibility of all its employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and to make sure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The Job:
As a Senior QA Engineer, you will play a central role in ensuring the quality of our software by guiding, supporting, and implementing a shift-left approach. You will take ownership of quality end-to-end - from early feature design through implementation to delivery - actively collaborating with developers to integrate testing practices earlier in the development lifecycle.
You'll design and execute comprehensive test plans, build and maintain automation frameworks, and integrate with complex, diverse system flows. Your work will directly impact product reliability, stability, and performance. You'll collaborate closely with Product, R&D, and Sales & Customer Success teams in a fast-paced, delivery-driven environment where data and innovation guide every decision.
This role offers significant room to improve and optimize how quality is delivered at scale - whether by refining processes, introducing smarter workflows, or leveraging tools like AI to make testing faster, broader, and more impactful.

Grip Security is looking for a Senior Data Platform Engineer to join our community!
We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today - to govern the accessibility of all their employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and ensure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI security field is complex and challenging; therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The job
As a Senior Data Platform Engineer, you will play a key role in building and evolving Grips modern data platform - the infrastructure that powers product features and analytics across the company.
You will focus on designing and operating scalable, reliable data systems and platform tooling that support our Data Lakehouse, enabling engineers, analysts and research teams to work with data efficiently and with minimal friction.
Responsibilities:
Design, build and operate a cloud-native modern data platform.
Develop and optimize data processing frameworks and pipelines across batch and streaming workloads.
Improve developer experience and platform usability through tooling and automation.
Lead and support large-scale data migrations and architectural improvements.
Drive best practices around infrastructure, CI/CD, testing, and system design.
Collaborate with developers, analysts, data scientists and other stakeholders to develop new products and features.
Contribute to a strong engineering culture of ownership, learning, and knowledge sharing.

We are seeking for an Project Planning Engineer.
This role requires:
* Execute MRP (Material Requirements Planning) runs.
* Analyze and manage material planning for complex Bills of Materials (BOMs).
* Create purchase requisitions and production work orders.
* Perform ongoing monitoring and control of procurement and manufacturing processes.
* Prepare and present status reports using various information systems.
* Collaborate with multiple interfaces across the organization to ensure smooth project execution. Position Details:
* Full-time position, Sunday-Thursday.
* Location: Be'er Ya'akov, Israel.

abra professional services is seeking for an AI Engineer (GenAI & Integration) The AI Engineer (GenAI & Integration) designs, builds, and deploys AI-powered solutions within enterprise systems and business workflows. The role focuses on practical application of AI by integrating models, data, and tools into real operational environments to enable automation, decision support, and productivity gains. The role emphasizes implementation and integration rather than model development, bridging AI capabilities with enterprise systems and workflows. Key Responsibilities
* Design and implement end-to-end AI solutions aligned with business needs
* Integrate AI capabilities with enterprise systems, APIs, and data platforms, including legacy environments
* Develop AI agents and automation workflows for multi-step task execution
* Build AI-driven applications, including copilots and decision-support tools
* Develop and maintain integration layers, including MCP-based and similar AI integration services
* Evaluate, test, and validate AI outputs to ensure accuracy, reliability, and quality in production
* Deploy, monitor, and optimize AI solutions in production environments
* Maintain clear and structured documentation across solutions, integrations, and processes
* Lead implementation of AI solutions in collaboration with business, IT, and engineering teams to ensure scalable and compliant delivery

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards: While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents: Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

we are seeking a Principal Backend Engineer for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

We are looking for a creative and independent Product Engineer. Our high-speed products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, we are increasingly known as the place for getting End-to-End High-Speed Ethernet and InfiniBand Solutions. We're looking to grow our company and build our teams with smart people who can join us at the forefront of technological advancement.

We need a creative individual who will join the interconnect NPI team. Our team integrates knowledge of multi-discipline (Mechanics, Thermal, Process, hardware and Test) to solve Yield and performance problems for our newest transceiver products. We are a data-driven group that by understanding the electrical test failure we analyze multi-test results, create engineering experiments\ lab debug to find the root cause and permanently fix the problems. We work in a high-stress environment and provide fast and accurate results. If you are passionate about data analysis with an integration perspective to enable the highest quality products that will change the world, we want to hear from you!

What you'll be doing:
Reaching high-quality product deliveries to customers by data and failure analysis.
Improving Product performance by solving multiple problems with Process/Mechanical/Hardware and Thermal teams.
Leading high-impact Task Forces and working Groups.
Designing and improving factory test plans (to improve coverage, time, cost, and yield).
Building automatic platforms to provide fast Engineering inputs.
Drive yield improvement, and fix the failure pareto.
Manage Failure Analysis of field and production failures.
Collaborate with different teams (including Customer Support, Marketing, Engineering, Quality, Reliability).