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Required Performance Engineer
About the role;
Were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do:
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.

Required Research Scientist - Audiovisual Understanding, Model Foundations
Team & role
The Core Generative AI team is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.
What you will be doing:
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

Required Research Scientist - Audiovisual Generation, Model Foundations
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team.
Weve been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing:
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

Required Research Scientist - LTX Model Evaluation
The Role
As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Key Responsibilities:
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools.
What you will be doing:
Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases.
Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications.
Conduct experiments, prototype concepts, and validate ideas to expand generative video technology.
Collaborate with engineers, designers, and product managers to translate research into impactful product features.
Regularly open-source code, models, and research insights, contributing to the academic and open-source communities.
Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products.
Write high-quality, efficient code and maintain best practices in research workflows.
Mentor other researchers and lead collaborative projects.

abra is seeking for an Senior FPGA Engineer This role require close collaboration with multidisciplinary teams, including hardware, software, verification, and system engineers, to deliver high-performance, mission-critical FPGA solutions—from concept and design through development and production, all the way to integration and operational deployment. Full-time position, Sunday–Thursday, in Holon.

our company is a leading hybrid cloud security company revolutionizing the way organizations manage cyber risk. We provide cutting-edge exposure management solutions by simulating real-world attack paths across cloud and on-prem environments. Our technology identifies misconfigurations, vulnerabilities, and identity exposures, allowing organizations to remediate risks with minimal effort.
We are looking for a motivated SRE Intern to join our Site Reliability Engineering team in a part-time capacity. This is an exciting opportunity to gain hands-on experience operating large-scale, multi-cloud production infrastructure that powers a real cybersecurity product. You'll work alongside experienced SREs on the systems and automation that keep our platform reliable, observable, and secure. Responsibilities: Help build and maintain automation and tooling that improve the reliability and operability of our production environments Work with Kubernetes and multi-cloud infrastructure (AWS / GCP / others) under the guidance of senior engineers Contribute to our observability stack - dashboards, alerts, and monitoring - to help us detect and understand issues faster Write scripts and small services ( Python / Go / NodeJS) to automate operational tasks and reduce manual work Participate in investigating and resolving production issues, learning real-world incident response and troubleshooting Collaborate with developers and SREs across the team to ship and operate changes safely

At BOA Ideas, we build complex eCommerce experiences, customer-facing platforms, and large-scale integrations for some of the leading brands in Israel and around the world. Our projects combine technology, business thinking, and seamless user experiences to create solutions that make a real impact. We're looking for a talented Frontend Developer to join us for a major new project launching in the coming weeks. We're looking for someone who can start immediately and hit the ground running. If you're a strong Frontend Developer—or a Full Stack Developer with a passion for frontend development—who enjoys solving complex challenges, collaborating with talented people, and building products that reach thousands of users, we'd love to meet you.
What You'll Do
* Develop and deliver high-quality frontend features and user experiences.
* Work closely with backend developers, project managers, and stakeholders throughout the project lifecycle.
* Build integrations with multiple systems and services.
* Participate in technical discussions, solution design, and implementation.
* Manage multiple development tasks in a fast-paced environment while maintaining high standards of quality.
* Take ownership of your work while contributing to a collaborative team culture.

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We're looking for talented people for an entry-level position in the high-tech industry to join our data Tagging Team.
A day in the life and how youll make an impact:
* Annotate, tag, and analyze raw visual data and images collected by our systems
* Support our Machine Learning algorithms teams
* Task management and interfaces with data taggers in Israel and globally

abra is seeking for an Credit Data Repository Developer The position involves developing and maintaining regulatory reporting processes, working with ETL processes, data analysis, and implementing decision-support solutions. The role includes working with large volumes of data and core enterprise systems. Full-time position, Sunday–Thursday, located in Lod.

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.

What You'll Do
As a Senior Backend Engineer on our Core Platform team, you will:

Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability

Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads

Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence

Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards

Mentor junior engineers through code reviews, pair programming, and technical guidance

Drive technical initiatives that improve developer productivity, system observability, and platform resilience

Contribute to architectural decisions and establish best practices for backend development across the organization

Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

We are looking for a Software Architect to join our team.  

What you will be doing:

As a Software Architect , you will be an essential member of our engineering team.

Work with the architecture team to develop product architectures that

Perform well at scale

Evolve easily

Support the rapid development of new, reliable features

Work with development teams to refine and implement those product architectures during product development

Participate in product management meetings to contribute to product roadmaps and assess the technical impact of upcoming product features

Participate in development team meetings to help with backlog refinement

Evaluate 3rd-party software tools and products to use in our products

Research and build POC systems to test and demonstrate architectural approaches

Teach our development teams in the use of new tools and techniques

We are looking for a Solution Architect, System Integrator to join our team. 

What you will be doing:

As a Solution Architect, you will be an essential member of our Customer Success Technical Delivery team. You will collaborate with product, sales and engineering to deliver the latest security and identity products.

You will be responsible for the technical aspects of security and identity products offered to our customers during post-sale activities.

Providing technical solutions to meet customers business and technical goals.

Lead the technical aspect of a production deployment in our customers environment including deployment design, technical assistance during the deployment, troubleshooting and resolving configuration issues.

Troubleshoot client Windows Server OS and Active Directory issues that may arise during deployment.

Provide technical support for our customers after the deployment was completed.

Convey and document technical requirements to and from customers.

Provide input and feedback to engineering and development teams.

Maintain expert knowledge of products to develop and present unique solutions and maintain knowledge of emerging trends in related technology areas.