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we are a 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. At our company, we provide the worlds most leading researchers and organizations with the critical tools they need to develop useful quantum computers. our companys hardware and software represent a new paradigm for controlling quantum computers, from a single qubit to hundreds and thousands. 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 globally recognized venture capital sponsors, including TLV Partners, Battery Ventures, Red Dot Capital Partners, Avigdor Willenz investment group, Harel Insurance, and others.
We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Quantum Computers.
The Quantum Computing SDK is the interface through which our customers run our company control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Quantum Computing Operations and run programs in higher level Quantum Computing languages like OpenQASM3.
Responsibilities
Develop the software for the company's Quantum Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

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.
We are looking for a highly experienced Backend Developer - Design and develop the core backend software layer over the company's specialized flagship product. It is a unique opportunity to join a team of top-notch engineers and work on cutting-edge technologies in a fast-paced environment of quantum computation.
Join us in this exciting journey to redefine the future of quantum computing.

We are looking for a highly skilled Automation Infrastructure Developer with strong networking orientation to join our QA & Automation group.
In this role, you will design and build automation frameworks, testing tools, and scalable infrastructures that validate agent, cloud services, and end-to-end networking flows across millions of devices worldwide.
Responsibilities:
Design, develop, and maintain automation infrastructures and frameworks for large-scale system testing.
Build tools and services that support automated validation of agent flows, cloud microservices, APIs, and networking behavior.
Create scalable solutions for device simulation, traffic generation, and real-world network scenarios.
Collaborate with DevOps, Backend, Embedded, and Product teams to ensure full automation coverage across components.
Implement CI/CD integrations to improve automation efficiency and system reliability.
Investigate automation failures, debug complex issues, and drive improvements in testability and system robustness.
Continuously enhance performance, stability, and scalability of automation environments.

We are seeking an experienced Full-Stack Engineer with deep system -level understanding and the ability to work across frontend, backend, and distributed architectures in a fast-paced, technology-driven environment. This role is ideal for engineers who enjoy end-to-end ownership, system thinking, and building scalable, high-performance systems. Responsibilities
* Design, develop, and maintain end-to-end systems across frontend and backend
* Build and evolve distributed systems, including microservices and event-driven architectures
* Develop server-side services and APIs with a focus on scalability and performance
* Work closely with cross-functional teams to design robust, production-grade solutions
* Optimize system performance (latency, throughput, caching, batching)
* Contribute to architectural decisions and system design

we are a global leader in hybrid control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software offer a groundbreaking approach to controlling quantum computers, scaling from individual qubits to arrays of thousands.
At the heart of our company is a passionate, ambitious team committed to transforming the construction and operation of quantum computers. Our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
We are looking for a highly experienced a hands-on Software Infrastructure Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Creating innovative infrastructure to help with modernizing coding, processes, and workflows.
Drive adoption of AI capabilities across chip design, verification and software teams.
Partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
Design and maintain multi-language code generation systems.
Evaluate and integrate new technologies to enhance developer workflows.

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 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.

Flytrex is building an autonomous drone-delivery network for restaurants in suburban America. We are one of 4 companies that are FAA approved to fly over residential neighborhoods (together with Amazon, Google/Wing and Zipline) but are the only one exclusively focused on restaurants. Uber is an investor in Flytrex and we fly deliveries for Doordash as well. After thousands of successful commercial deliveries and multiple breakthrough FAA approvals, Flytrex is now expanding rapidly across the U.S., starting with Dallas Forth worth. Flytrex is revolutionizing the food delivery field by making drone delivery a reality. We’re looking for a Senior Developer to join our back-office team, lead efforts around our food ordering platform, core order tracking services and delivery station management systems. The position is meant for individuals who can handle complex logic, are familiar with backend server development and state-machine workflows and are experienced in software design This is a unique opportunity to develop the world’s leading drone delivery service and be a part of a revolution in the making. This video gives a high level explanation of what we are doing..

We are seeking a passionate, dynamic, and skilled SW Development engineer, who shares our vision of assisting development departments and teams, in successfully navigating the product development process and DevOps.

Key Responsibilities we are looking for:
Understand the clients needs and build a work plan that meets its goals.
Committed to expertise in variety of fields to lead the clients to success.
Lead and mentor development teams to enhance their skills and knowledge.
Continuously improve, learn and stay up to date with the latest technologies and best practices.

We are looking for an experienced, hands-on Software Development Team Lead with proven abilities to lead a team and deliver fast and efficiently. A true team player who is eager to be part of a unique opportunity in the startup scene.
Key Responsibilities:
Lead a team of developers working on one of products
Architect efficient and reusable back-end systems
Mentor Back-End team members in the technical aspects of their work
Empower and coach the Development team, organizing their work, setting goals, and making sure they are engaged
Collaborate with Product Designers, Product Managers, and other Team Leaders to plan, nurture, and implement an efficient and effective development process
Recruit talented developers
Mentor and advise the Development team in code review, pair programming, and more
See the big picture of group tasks and make decisions
Be at least an 80% hands-on developer as part of the team
Influence the Engineering team by interacting with stakeholders outside the team