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Our networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider company. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.

What you'll be doing:

Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.

Explore innovative ideas to improve and optimize our chip systems performance.

Serve as a focal point within the organization and distribute the knowledge that you acquire.

we are looking for an experienced Software Team Lead to lead a team developing high-performance, mission-critical software for next-generation cellular networks.
In this role, you will combine technical leadership, people leadership, and hands-on development, driving the design and delivery of scalable solutions used by leading mobile operators worldwide. You will play a key role in shaping the architecture of our company's next-generation monitoring and analytics platform while mentoring engineers and fostering a culture of technical excellence, ownership, and innovation.
Working closely with architects, product managers, and cross-functional R&D teams, you will influence technical direction and lead the development of complex systems across 4G/5G, Radio, and Core Network technologies.
Responsibilities
Lead, mentor, and develop a team of software engineers, supporting their professional growth and technical excellence.
Drive architectural and technical design decisions for high-scale, performance-critical systems.
Take end-to-end ownership of projects, from design and implementation through deployment and continuous improvement.
Remain deeply involved in hands-on development, debugging, performance optimization, and solving complex technical challenges.
Collaborate closely with Product Management, Architects, and R&D teams to define technical roadmaps and deliver impactful solutions.
Build highly scalable, reliable, and efficient software infrastructure supporting next-generation cellular networks.
Promote engineering best practices, code quality, design reviews, and technical innovation across the team.
Lead cross-functional initiatives and drive alignment between multiple stakeholders and engineering teams.

What will you do?
The network expert team is part of the customer services group, as a network expert you will act as an escalation point for NOC, customers, and onboarding team for technical network issues.
Assist in incident response and support customers during network events and attacks.
Work with network architects, engineering, and R&D on infrastructure improvements.
Actively monitor, react, and troubleshoot system events and alerts.
Investigate and resolve network related issues.
The position requires on-call duties.

We are expanding our renowned and respected Threat Intelligence Research team with a dedicated focus on online applications, APIs, and modern automated threats. We are seeking a passionate, innovative, Cyber Threat Intelligence Researcher (Associate/Mid-Level profile) to support research efforts focused on Web Application Security, Online APIs, and Bot Management.
Key Responsibilities
Threat Research & Analysis:
Track, analyze, and qualify global security threats targeting Web Applications, Online APIs, and Bot Management solutions.
Monitor threat actor ecosystems and forums.
Uncover and describe infrastructure trends, new attack vectors, and automated attacks trends.
Mine, analyze, and visualize attack data leveraged from public, underground and internal sources to identify emerging trends.
Thought Leadership & Content Creation:
Contribute to threat intelligence reports and author research papers, technical advisories, and regular blog posts on emerging and breaking threats and application attack trends.
Summarize findings into clear and actionable insights for technical and business audiences.
Create customer-facing presentations and research materials; present your findings in front of internal and external audiences.

We are seeking a talented, highly motivated and detail oriented individual to join our team. This position will join our Crossix Data Platform team and will own data analysis and quality checks to ensure high standards of our Pioneer product.
Pioneer serves as the centralized, scalable pre-analytics data hub that ingests, cleanses, and standardizes billions of raw media exposure data records (from direct publisher feeds like 1PC, site tags, and TV) into a unified data schema, enabling downstream matching against de-identified health data to measure marketing effectiveness for pharma campaigns.
This is a great opportunity for someone who is excited about taking part in building high quality data products and working closely with product and engineering teams towards successful execution.
What You'll Do
Plan and execute user acceptance testing for Pioneer, including functional checks and data quality checks
Create and manage dashboards to track the data KPIs - volumes, breakdowns, trends, platform throughput
Provide 2nd level support to production issues and take part in investigating data issues
Act as a liaison between Analysts, Product Management, and Dev to ensure our data products are built and delivered with quality
Identify opportunities for improving data quality to ensure data maintains high quality standard.

The company Data Platform is a framework that connects vast patient healthcare data from multiple sources daily, utilizing privacy-safe methodologies to maintain a current view of the US healthcare market. Positioned at the intersection of Big Data and innovative technology, it provides life sciences companies with the insights needed to make strategic business decisions and drive improved patient outcomes.
As a QA automation engineer, you will take a leading part in assuring the quality of our infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark, and other technologies.
What You'll Do
Be part of an excellent agile team
Create detailed test plans
Write and maintain integration, sanity, and regression tests for our products and services
Create and maintain documented coverage of tests
Review and analyze test results
Take part in all scrum activities (estimation sessions, planning, reviews)
Work on CI/CD tools (Git, Jenkins, JIRA) daily
Leveraged AWS cloud services-including S3 and message queues-alongside REST APIs and relational databases to build scalable backend solutions.

Were looking for an Technical Project Manager to join our growing Professional Services Team. This individual will be the primary point of contact during the pre-launch period, leading end-to-end implementation while ensuring scope, quality, and project KPIs are met. You will serve as a solution consultant, bridging the gap between R&D, Product, and the client to ensure global enterprises extract maximum value from our AI-driven orchestration.
What Youll Do
Own the end-to-end onboarding journey for new global customers, running engaging kickoff calls and Q&A meetings to drive successful product deployment
Direct and manage day-to-day projects including governance, planning, and stakeholder reporting at customer steer-co meetings while proactively resolving roadblocks to ensure deployments remain on schedule and within scope
Act as a solution consultant to translate business requirements into a feasible product setup within the HiredScore product
Build and maintain onboarding materials (playbooks, quick start guides, FAQs) and use deployment feedback to refine best practices and methodologies
Partner with Data Science, Product, and Customer Success to transition accounts from implementation to long-term adoption, ensuring a smooth handover to Customer Success and Support.

As an LLM Engineer, you will be responsible for developing and implementing cutting-edge Large Language Model (LLM) technologies to create innovative hiring agents for our companys global clients. In this role, you will:
Dive deep into LLM technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices.
Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients.
Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures.
Deeply understand product challenges to make intelligent and efficient software-building decisions.

About the Role
Design, build, and improve ML-powered software products that deliver real value to users.
Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making.
Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant.
Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services.
Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration.
Collaborate with product, engineering, and research partners while learning from a strong technical team.

As a Senior Applied AI Engineer, you will lead the bridge between cutting-edge AI capabilities and production-grade software. You will design, build, and optimize the intelligent systems, agentic workflows, and LLM-driven architectures that power our companys conversational products.
Also, you will combine software engineering rigour with state-of-the-art Generative AI techniques - optimizing for conversational quality metrics, latency, and system reliability in high-scale production environments, serving millions of users. We are looking for an engineer who is hungry for AI innovation, eager to pioneer new generative capabilities, and passionate about shipping impactful AI solutions.
In this role, you will:
Design & Scale AI Systems: Architect and deploy high-performance LLM orchestration systems, agentic workflows, retrieval-augmented generation (RAG) pipelines, and AI microservices.
Bridge AI Research & Production: Transform frontier LLM research, foundation models, and generative techniques into robust, production-ready features with high availability and low latency.
LLM Evaluation & Guardrails: Design and implement automated LLM evaluation (evals) frameworks, benchmark suites, and guardrail policies to continuously measure accuracy, reduce hallucinations, and ensure safety across product flows.
Optimize Performance & Cost: Lead latency, throughput, and token-cost optimization strategies across commercial APIs and open-source models.
Set AI Engineering Standards: Elevate software craftsmanship across the team through architectural reviews, code quality, and LLMOps best practices, utilizing the latest AI tools.
Drive Product Innovation: Collaborate closely with product and engineering teams to translate complex human resource and conversational challenges into intelligent software solutions.

As a Backend AI Engineer, you will be responsible for architecting and building the production systems that bring LLMs to life at scale. You will Implement robust infrastructure and high-scale services, ensuring our AI capabilities are integrated into scalable, resilient, and performant backend architectures.
In this role, you will:
Design and implement high-performance backend services and APIs that power our companys core AI products.
Bridge the gap between AI research and production-grade software, focusing on latency, reliability, and observability.
Promote engineering standards through rigorous code reviews, architectural design, and best practices in distributed systems.
Design and implement LLM evaluation frameworks to assess and integrate new AI models into real-world production flows.
Deeply understand product challenges to make intelligent and efficient software-building decisions.

As the leading provider of Talent Orchestration technology, HiredScores artificial intelligence, automation, and deep integrations empower the worlds most innovative companies to drive critical business outcomes in recruitment, diversity hiring, and internal mobility.
Now part of Workday, HiredScore is seamlessly integrated into the Workday ecosystem, streamlining complex HR processes and delivering AI-driven insights that allow recruiters to focus on what matters most: top talent.
At our Israeli site, we operate with an agile, high-trust culture. We believe our employees are our greatest asset, and we foster an environment of continuous learning, fast feedback, and collaborative problem-solving.
The Opportunity
We are looking for a Senior Backend Engineer to join the Sourcing Team within our Core Engineering group in Israel. This team is the architectural engine behind our candidate-matching solutions, finding the best roles for candidates and the best talent for organizations.
You will lead the design of robust, scalable systems leveraging Python, React, Kubernetes, MongoDB, and Celery, while integrating MS Teams to create a seamless communication experience for recruiters and candidates alike.
Work Model: Hybrid (3 days in-office, 2 days remote) at our Israel site.
About the Role
Architectural Leadership: Design and implement high-performance, scalable solutions for global enterprises using code generation. You will take full ownership of the lifecycle-from initial conceptualization and architectural design to implementation and global delivery.
System Evolution: Drive the evolution of our distributed systems built on Kubernetes, ensuring they meet the demands of a rapidly scaling client base.
Production Excellence: Set and maintain the gold standard for production systems. You will champion best practices in testing, observability, and proactive alerting to ensure mission-critical stability.
AI Integration: Partner closely with Product Managers and Data Scientists to embed cutting-edge AI and machine learning capabilities into our core offerings.
Technical Mentorship: Act as a force multiplier for the team. You will mentor and upskill fellow engineers, fostering their technical growth and execution potential through code reviews, design docs, and pair programming.
Strategic Input: Bring your deep industry experience to our agile processes, helping the team adapt, grow, and innovate.

As the Development Team Lead for HiredScore Sourcing Products, you will manage and mentor a cross-functional team of Full-Stack Engineers, Backend Engineers, and QA Automation Specialists.
Your team's core mission will be to translate AI/ML insights into seamless, scalable features that drive efficiency in recruiter workflows-specifically through resurfacing past applicants, prospects, and internal talent. You will own the entire development lifecycle for your products, from core API implementation to deploying user-facing applications and integration layers (web UIs, RPA/workflows, MS Teams bots)
Key Responsibilities:
Lead, mentor, and grow the diverse engineering team, ensuring effective collaboration between backend, full-stack, and QA functions. Drive best practices in development, code quality, and delivery speed.
Design, document, and oversee the implementation of scalable, reliable, and secure systems, ensuring seamless integration between backend AI services and the user-facing product layers.
Ensure the team maintains a strong quality and automation culture by providing strategic direction to QA specialists and upholding high standards for testing and product stability.
Drive development across the full spectrum of product surfaces: APIs (GraphQL/REST), Web Applications (React/Angular/Vue), and specialized engagement layers.
Ensure efficient consumption of AI outputs by downstream systems, particularly through robust queue-based architectures (like RabbitMQ) and workflow automation (RPA).
Partner closely with Product Management, Data Science, and other engineering teams to translate business requirements into technical execution.

abra's Cloud division is seeking an AWS Sales Operation to join our team in Raanana. We are looking for an experienced operations professional who will manage onboarding and offboarding processes, handle billing operations, and provide operational support to customers in an AWS environment. Key Responsibilities:
* Support day-to-day operations and help build efficient workflows in a growing Cloud division.
* Manage sales opportunities and track activities using Salesforce and Monday.com.
* Coordinate operational processes with customers, internal teams, finance, and AWS partners, including contracts and follow-ups.
* Support AWS Partner Network activities, including partner funding programs.