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We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.

You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.

What you'll be doing:

You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

We are looking for a highly motivated and experienced Software QA Engineer to join our Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience.

What Youll Be Doing:

In the position of Senior QA Software Engineer, you will have a key role in assuring our products meet high-quality standards! Your tasks will consist of:

Collaborating on projects involving ITU-T standards like G.8273.2 Class-C/D Boundary Clocks.

Applying your deep knowledge of communication network standards to validate and improve product quality.

Testing and verifying clock synchronization protocols, including Synchronous Ethernet (SyncE) and Precision Time Protocol (PTP).

Defining and implementing test topologies and setups to ensure comprehensive product coverage.

Participating in requirements, build, and feature reviews, providing QA insights and feedback.

Engaging with customers, presenting solutions, assisting in debugging on customer environments, and supporting integration efforts.

Staying up-to-date with emerging networking standards, features, and technologies to continually expand QA coverage.

Implementing and composing manual and automated firmware and system-level tests in a Linux environment.

We are looking for an experienced Senior Product Fullstack Developer, to further develop the platform. You will build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. You will tackle a wide array of problems from developing a UI that is responsive to the user and fun to choosing the right backend technologies to solve specific product use cases at scale.

Ownership & Responsibilities:
As Product Fullstack developer you will be assigned to one of our product groups consisting of a representative from sales, customer success, support, data, marketing and R&D. Each group member is in charge of giving inputs from their respective team. The idea is to have a holistic view of your part of the product in order to be able to make the right decisions about the product. Together with your product group you will understand your customers use cases and needs, define the roadmap, and build your weekly sprints. Additionally as the developer in the group you will be in charge of pushing your product forward from the technical perspective, everything from solving bugs, planning the right architecture, coding features, and pushing it all to production.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

We are in search of a Senior Software Architect- a creative, forward-thinking, and practical researcher to improve the framework for widespread LLM learning and prediction. As part of our dynamic E2E Architecture group, you will design and optimize systems driving generative AI workloads, working at the intersection of software and hardware on some of the most advanced GPU clusters worldwide. You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and compute scheduling to system-level optimization. This is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative AI in real-world applications. Your work will make a lasting impact by enabling generative AI technologies to reach real-world applications and improve global computing capabilities.

What Youll Be Doing:

Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.

Analyze current deployments, develop prototypes, and recommend architectural improvements.

Stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies.

Design, simulate, and validate new systems using novel, scalable network simulator NSX.

Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).

Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.

Publish patents and present research at leading conferences.

We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are in need of skilled engineers to join our autonomous driving team to invent, execute, and deploy pioneering end-to-end autonomous driving systems. Our strategy has progressed from AI 1.0 constructing a driver from the ground up to AI 2.0 training an intelligent agent to drive. This is achieved by developing LLMs, VLMs, and VLAs to offer exceptional reasoning, planning capabilities, and interaction with the driving system for autonomous driving and general robotics. Lets innovate the future of autonomytogether!

What you will be doing:

Build and train innovative large-scale modelsincluding generative, imitation, and reinforcement learningto improve the planning and reasoning capabilities of our driving systems.

Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.

Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.

Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at our company. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our companys risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our companys financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our company's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our company practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at our company
Identify and Initiate New Business Opportunities: - Collaborate with our company FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

This is an outstanding opportunity to join our high performance multi-site team and to work on some of the most pioneering technologies, implement and lead cutting-edge networking features for cloud, HPC and AI networks. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What youll be doing:

Develop first tier features, with groundbreaking multi-protocol networking technology.

Lead features from planning through design and development, until delivery to the customer.

Work closely with other development teams, arch and verification to ensure features delivery on time with high quality.

Gain deep understanding of our products and technologies.

In this role, you will be responsible for:
You will be leading an engineering group composed of 4 teams, building our core infrastructure that serves the entire engineering organization, as well as the product.
We are looking for a true leader with great communication skills who can help us scale our growing engineering team while upholding a high technical bar. This role requires collaboration with stakeholders across the organization, high technical competency, the ability to initiate and drive processes, manage projects under time constraints, and most importantly keep our team members challenged and engaged.
Leading a group of 4 teams, building our company's core infrastructure
Own the end-to-end delivery of your group from planning to production, ensuring we deliver a high-quality product at a fast pace
Driving engineering excellence through constant improvement in processes, tools, practices, and skills
Working closely with our architects and product in building and executing your infrastructure roadmap
Coaching and mentoring your team, helping them unlock their full potential.

Join our companys Procurement team as a Senior Full Stack Engineer - and jump in right as were building the next-generation core engine of the group.
If youre passionate about clean code, thoughtful design, strong performance, and collaborating with a team that truly strives for excellence and innovation - all while keeping the kind of team vibe that makes great work actually enjoyable - then what are you waiting for? Were soooo excited to meet you!
In this role, you will be responsible for:
Writing high-quality, readable, testable, and maintainable code.
Assisting in the planning and leading the development of new components as well as renewing existing ones.
Being a proactive team player while working independently in a collaborative environment.
Thinking outside the box, continuously pushing for improvements and optimizations.

In this role, you will be responsible for:
Design, build, and optimize scalable, reliable, and secure backend services in Go (Golang).
Develop and maintain microservices that handle connectivity and data synchronization between systems.
Build resilient and observable systems using AWS, Docker, and Kubernetes.
Design and manage PostgreSQL databases with a focus on performance, reliability, and data integrity.
Work with queues and messaging systems (AWS SQS/SNS, Kafka, RabbitMQ) to ensure reliable communication between services.
Debug, troubleshoot, and resolve complex issues across multiple services and environments.
Investigate and fix production incidents and performance bottlenecks, ensuring system stability, uptime, and data freshness.
Collaborate with cross-functional teams (Product, DevOps, Data) to design, deliver, and maintain high-quality solutions.
Participate in architecture discussions, code reviews, and continuous improvement initiatives.

We are building state-of-the-art accelerated computing platforms that know no boundaries. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We are looking for a highly motivated and experienced SW networking senior software engineer to join our SAI development team.

This is an outstanding opportunity to join our high performance multi-site team and to work on some of the most pioneering technologies, implement and lead cutting-edge networking features for cloud, HPC and AI networks. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What youll be doing:

Develop first tier features, with groundbreaking multi-protocol networking technology.

Lead features from planning through design and development, until delivery to the customer.

Work closely with other development teams, arch and verification to ensure features delivery on time with high quality.

Gain deep understanding of our products and technologies.

abra is recruiting an Enterprise Architect to join our Data & AI Division in Haifa. In this role, you will lead enterprise-wide architecture initiatives, shape technology direction, and drive the adoption of innovative solutions across the organization. Role Overview
* Lead product and technology evaluations: gather requirements, analyze alternatives, and present recommendations to senior leadership.
* Own the architectural aspects of large-scale enterprise projects from design to implementation.
* Introduce, validate (POC), and implement innovative technology solutions across functionality, data, security, integration, and infrastructure.
* Collaborate with cross-department teams to build end-to-end enterprise solutions.
* Deliver knowledge transfer and guidance to development, infrastructure, and analytics teams.

We are recruiting an MLOps / AI-Ops Engineer to join our data & AI Division in Haifa.
This role is responsible for managing, optimizing, and scaling the organizations AI/ML infrastructure across both cloud and on-prem environments, ensuring high availability, performance, and cost efficiency.
Role Overview:
* Manage day-to-day AI infrastructure operations, ensuring reliability, performance, and scalability.
* Deploy, configure, maintain, and troubleshoot AI platforms and tools, including GPU orchestration, Kubernetes, MLflow/Kubeflow, and vector databases.
* Monitor resource utilization (CPU, GPU, memory, Storage, network) and implement performance optimizations.
* Support CI/CD pipelines and infrastructure automation using Infrastructure as Code (Terraform, Ansible).
* Implement security best practices, manage access control, and ensure compliance with AI governance policies.
* Troubleshoot operational incidents and collaborate with AI Platform and AI Security Engineers.
* Contribute to documentation, runbooks, and knowledge sharing.
* Identify opportunities to improve AI infrastructure processes and tooling.