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we are a global leader in control systems for quantum computing-a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach to quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Were seeking a Software System Engineer to ensure seamless operation and integration of our complex, multidisciplinary system. This role spans multiple software domains and interfaces with hardware, logic, and validation teams. Youll act as a technical leader, driving design and implementation of system-wide features, resolving intricate integration challenges, and building infrastructure that accelerates development across the Software group.
Youll thrive here if you love working on large-scale, multi-threaded systems, solving cross-disciplinary problems, and building robust, production-quality solutions for cutting-edge quantum computing products.
Responsibilities
System Integration & Technical Leadership
Ensure proper operation and integration of all software components and their interfaces with logic and validation modules.
Lead design and implementation of multidisciplinary features, balancing performance, reliability, and maintainability.
Investigate and resolve complex system-wide issues and bugs across multiple teams.
Infrastructure & Tooling
Develop and maintain internal tools and infrastructure to enhance development efficiency and integration readiness.
Build profiling, debugging, and automation frameworks to support high-quality delivery.
Cross-Team Collaboration
Key stakeholder in the definition of interface contracts (APIs, protocols, timing/resource constraints) across software and hardware boundaries.
Drive integration plans, dry runs, and troubleshooting for system-wide features.
Quality & Execution Excellence
Champion clean architecture, code reviews, automated testing, and CI/CD best practices.
Ensure documentation (design specs, interface definitions, runbooks) is complete and up-to-date.

we are a global leader in control systems for quantum computing, a field on the verge of exponential growth. Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands. At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers.
We are seeking a highly skilled Hands-On Engineer to join our Quantum Integration Team, ensuring seamless integration of multi-layered systems. This role requires close collaboration with cross-functional teams to debug, validate, and integrate complex interfaces while ensuring end-to-end functionality.
Key Responsibilities:
Integration of multi-disciplinary systems, ensuring smooth operation across different layers.
Debug and troubleshoot issues arising in the integration process.
Develop integration and validation tools.
Collaborate with architecture, logic design, verification, compiler, and embedded teams.

we are a global leader in control systems for quantum computing, a field on the verge of exponential growth. Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands. At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
The hardware development team spans two global sites - one in Tel Aviv and one in Copenhagen. The team is responsible for all hardware within our company spanning from room-temperature control hardware to our cryogenic QPU carriers.
We are looking for a Validation Engineer or Physicist to plan and execute validation activities for cryogenic hardware, with a strong focus on electrical and RF performance. In this role, you will work closely with system architecture, RF, mechanical, and hands-on engineering functions to translate design intent and requirements into validated, production-ready solutions. The position combines structured test planning, shared technical risk ownership, and hands-on execution in laboratory and cryogenic environments.
Key Responsibilities
Define validation strategies, test plans, and acceptance criteria aligned with system and customer requirements.
Contribute to customer-facing compliance matrices and quality planning.
Take ownership of Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
Report on test results and provide clear, actionable feedback to development teams and customers.
Design, build, and maintain electrical and RF test setups, fixtures, and measurements.
Contribute to technical risk analysis at the project level, defining validation and mitigation activities in collaboration with the project team.
Plan and execute proof-of-concept (POC) validation activities, with emphasis on electrical and RF performance.
Perform cryogenic testing, including preparation, operation, data collection, and analysis.

we are the global leader in control systems for quantum computing, providing the hardware and software tools researchers and businesses need in order to build quantum computers from the ground up. We are pushing the envelope in a field on the verge of exponential growth, bringing about opportunities like those made possible with the invention of classical computing 50 years ago. We are assembling the strongest team of professionals in the world with the goal of revolutionizing how quantum computers are built and controlled while accelerating their arrival. Come join a multi-disciplinary, world-class team and work on a new class of problems at the cutting edge of technology, science, and business.
We are seeking for a passionate and skilled Validation Engineer to join our core R&D team. As a Validation Engineer, you'll play a critical role in ensuring the quality, reliability, and performance of our state-of-the-art quantum control systems. You will design, develop, and execute validation plans for complex hardware-software systems, contributing directly to the advancement of quantum technologies.
This role is ideal for engineers with good programming skills, a strong technical culture, and a passion for working at the intersection of software, hardware, and quantum science.
Key Responsibilities:
Design and Implement Validation Methods: Design, implement and execute comprehensive validation test plans for our quantum control platforms and solutions
Develop Automated Tests and Automation Frameworks: Develop automated testing infrastructures to streamline validation processes and implement system tests based on the defined test plans
Data Analysis: Collect, interpret, and document data from system tests/experiments to assess system performance and identify areas for improvement
System Debugging & Troubleshooting: Identify, reproduce, and analyze issues across system components with other engineering teams
Collaborate Across Teams: Collaborate closely with R&D and product teams to define test coverage and quality acceptance criteria
Release & Quality Assurance Process: Participate in regression testing and CI/CD for new feature rollouts and product releases
Maintain and Improve Test Setups: Oversee the setup, calibration, and enhancement of test equipment and environments.

we are the global leader in control systems for quantum computing, a field on the verge of exponential growth, bringing about opportunities like those made possible with the invention of classical computing 50 years ago.
We are assembling the strongest team of professionals in the world with the goal of revolutionizing how quantum computers are built and controlled and accelerating their arrival. we are backed by top-tier investors such as Battery Ventures, TLV Partners, Red Dot Capital, and Avigdor Willenzs investment group.
We are looking for a super talented engineer to join our team and build our company's architectural model of a quantum control system.
We are looking for a motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists
Responsibilities:
Working in all fronts - high-level architectural solutions to low-level design constraints
Working across multiple teams and methodologies
Designing a complex IP to be used both internally by various R&D teams and externally for our customers as a stand-alone product
Designing a flexible and integration-able model to allow referencing from various programming languages (UVM, Java, Python, Kotlin and C++) as well as coupling it to a behavioral quantum simulator.

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.

What you'll do:
Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.

Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.

Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).

Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.

Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.

Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.

Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

as a Software Engineer will be critical to the companys success. You will build a strong and robust infrastructure integrated with the platform to acquire security insights. You and the team will design, develop and maintain out-of-the-box modules, algorithms and extensions while working with highly talented engineers.



What you'll do:
Design and build high-performance and distributed infrastructure for search and pipeline products
Integrate with the platform and be a key player in its design and development
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions
Work closely with product and other R&D teams
Help with solving complex customer issues with our solutions and platform

s a Software Engineer will be critical to the companys success. You will design, build, and maintain the core infrastructure that powers the platform, enabling scalable business logic, data processing, and risk-related decision mechanisms. You will work closely with highly talented engineers to solve complex architectural challenges and deliver robust, high-scale systems.


What you'll do
Develop and maintain core company infrastructure, including search, policies, and foundational platform services
Build and operate backend systems that implement core business logic and large-scale data processing workflows
Take ownership of architectural and design challenges with a strong focus on scalability, performance, and reliability
Contribute to the design and evolution of the platform
Develop extensible libraries and utilities that accelerate development while ensuring scalability and high quality
Collaborate closely with product and other R&D teams
Help solve complex customer issues related to our platform and solutions

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. 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 Metas 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 Metas 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 Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta 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 Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta 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.

The Data Collection team is responsible for essential security components, including the Collector, Cyshark, and Collector Gateway. Our mission is to develop and maintain high-performance, deep packet inspection software. This critical software operates across customer sites and cloud endpoints globally, ensuring secure data acquisition from all servers. We are a Rust-focused team committed to designing scalable, production-ready systems.
Responsibilities
Develop high-performance deep packet inspection software for deployment at customer sites and cloud data endpoints.
Design and lead the development of new feature sets and architectural changes for core data collection components.
Take systems from development through to production, focusing on performance, and ensuring ongoing maintenance.
Apply expertise in Rust development to implement solutions with strict attention to system performance.

Key Responsibilities
Identify business needs and design fast, efficient AI-based technological solutions
Manage the implementation of existing AI-based solutions
Collaborate with subject matter experts to adapt the firms existing AI-based products
Work closely with senior management and internal stakeholders, including presenting solutions and providing training on tools.

Were expanding our Support Team and looking for a Support Engineer with a strong technical mindset, excellent communication skills, and a passion for solving problems and helping customers succeed.
As a Support Engineer, you will act as the technical point of contact for our clients - investigating complex issues, managing escalations, and working closely with our R&D and Product teams.
You will be part of a friendly and professional team based in Tel Aviv, supporting customers around the world.
Responsibilities:
Resolve incoming client issues via email, chat, and Zoom/Meet within defined Service Level Agreements (SLAs).
Investigate and analyze client requests by utilizing available tools, databases, and logs to identify root causes and recurring patterns.
Manage and prioritize support tickets using Jira (or similar systems), focusing on the most impactful cases and ensuring timely updates to customers.
Collaborate closely with R&D and Product teams to troubleshoot and resolve complex or escalated issues.
Escalate critical or complex cases to Tier 3/R&D teams with clear and detailed documentation.
Maintain accurate records of issue statuses and provide updates to clients and management when necessary.
Contribute to internal documentation, knowledge bases, and best practices to enhance Support processes.
Uphold customer service guidelines and ensure a high level of customer satisfaction, representing customer-first approach.
Participate in weekly stand-up meetings and report on open cases and progress.

Were building the next Gen. AI Factory, at a leading AI Infrastructure technology company. Our products sit at the core of rack-scale computing and define the performance and scale of AI systems.
If youre driven by solving problems, some dont yet have names, this is where you want to be.
In this role, you will:
Establish and lead a Back-End team with emphasis on RTL to GDS flow, Floorplan, Synthesis, Place and route, clock-tree, STA, layout, signoff (Timing, DRC, LVS) and Power
Be responsible for the Backend execution and methodologies
Be responsible to guide and lead contractors

Were building the next Gen. AI Factory, at a leading AI Infrastructure technology company. Our products sit at the core of rack-scale computing and define the performance and scale of AI systems.
If youre driven by solving problems, some dont yet have names, this is where you want to be.
About The Position:
DFT (Design For Test) is a multidisciplinary field which involves many aspects of the chip design process, including: DFT architecture definition, RTL design, verification, backend implementation, STA, pre and post production activities and many more.
You will be part of a growing team that develops from scratch its DFT implementation flow and responsible for all DFT activities and you will closely work with multiple teams within the VLSI group.

Were building the next Gen. AI Factory, at a leading AI Infrastructure technology company. Our products sit at the core of rack-scale computing and define the performance and scale of AI systems. If youre driven by solving problems, some dont yet have names, this is where you want to be.
In this role you will:
Develop and maintain all aspects of the emulation environment- Emulation model, Test plan, Validation environment
The Emulation engineer is involved in validation of significant aspects of ASIC development-chip performance, SW-HW API , system boot and functional flows
Expect to work closely and be part of the development process of the RTL design, verification, software development, testing, and more
Participate in design methodology and tool automation work as needed