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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 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 seeking an agile, hands-on R&D Lead who excels at rapid learning and making smart, pragmatic decisions to drive our core data engineering squad in Tel Aviv. We care less about years spent in formal management or having a decades-long resume, and much more about your ability to take extreme ownership, learn new paradigms on the fly, and keep the team moving forward.
In this role, you will help architect, write, and deploy the Python-based infrastructure that processes millions of records daily and serves them at sub-second latency to autonomous AI systems. You will guide the design of high-scale data pipelines, integrate semantic search paradigms, and build out our agentic connectivity layer. If you are a proactive decision-maker who thrives on optimizing complex systems and wants to build the infrastructure that LLMs rely on to understand the real world, this is your next role.
Key responsibilities:
Execution & Decisive Leadership: Lead the technical delivery by setting the pace and making pragmatic architectural choices that keep the team moving forward. You prioritize shipping and iterating over analysis paralysis.
Hands-On Development (Python): Roll up your sleeves and remain technical. Write clean, concurrent, and scalable Python code to handle data ingestion, transformation, and serving pipelines.
Continuous Learning & Tech Agility: Work across a polyglot environment. You dont need to know every tool on day one, but you must be eager to rapidly evaluate, learn, and adopt the optimal databases, message brokers, and execution frameworks to manage technical debt.
Agentic Infrastructure & MCP: Deploy systems that allow autonomous agents to seamlessly query our datasets. You will help build and scale our Model Context Protocol (MCP) servers, translating LLM intents into highly optimized database queries.
High-Scale Data Pipelines: Oversee an end-to-end data architecture capable of supporting continuous ingestion, error cleansing, and near-real-time refreshing of a 1B+ record database while enforcing GDPR and CCPA compliance.
Search & Retrieval Integration: Design and optimize advanced search capabilities, leveraging vector databases, embeddings, and hybrid search techniques to ensure absolute precision when AI models query our data.

We are looking for an experienced Front-End Team Leader to lead the design and development of the companys user-facing software systems. This is a unique opportunity to combine hands-on technical leadership with people leadership, working closely with product, UX, and backend teams to build sophisticated, high-impact user interfaces for cutting-edge quantum computing platforms.
Join us in this exciting journey to redefine the future of quantum computing.
Responsibilities:
Lead and mentor a global team of front-end engineers, fostering technical excellence and growth.
Own the front-end architecture and technical vision of complex web applications.
Design and implement scalable, high-performance, and maintainable UI solutions.
Collaborate closely with backend, product, UX, and system engineers to deliver end-to-end features which are perfectly adapted to the needs of the Quantum Computing audience.
Drive best practices in code quality, testing, performance, and accessibility.
Take part in hands-on development alongside the team.
Lead design reviews, code reviews, and technical decision-making.
Execute in a fast-paced, evolving environment with high technical complexity.

We're looking for a hands-on Tech Lead to drive the technical direction of our core backend layer and lead the engineers building it. The systems you'll own handle bursty, high-throughput workloads: thousands of requests per second, strict latency requirements, distributed coordination, hard concurrency problems. You'll shape the architecture, review the designs, and still write the code.
What Makes This Role Different
Our backend team is the orchestration layer between:
Hardware control systems (C++)
Client-exposed SDK (Python)
Reporting and management system (Go)
Business logic (Java/Kotlin + Spring)
As Tech Lead, you're the technical anchor of that layer. When teams disagree on where a boundary belongs, you drive the decision. When a design has a flaw nobody's spotted, you catch it. When the hardest problem lands, you're close enough to the code to pick it up yourself.

Were looking for a bright and passionate Senior Software Engineer to join our R&D Core team. In this critical role, you will design and develop solutions for in-house operating systems and platforms building our backbone cloud data centers and our edge on-prem devices. Our solutions are running on a variety of hardware, ranging from small, embedded devices, to high-end servers, and cloud environments.
Responsibilities:
Design and implement operating system utilities and components to ensure a performant, stable, secure, maintainable, and transparent ecosystem in our cloud
Proactively be on top of new emerging technological trends in low-level networking, hardware, kernel, and open-source themes. Implement and specialize in open-source solutions to our specific needs.
Investigate and test performance capabilities aiming at squeezing the lemon out of our hardware.

Were looking for a Senior Automation Engineer to join our Automation team. As a member of this team, you will be responsible for the design, implementation, and maintenance of automated tests and infrastructure using our Java-based framework. Our Automated tests cover various aspects of the security product, including complex networking topology, traffic, security rules, Users authentication scenarios.
Responsibilities:
Design, develop, and maintain automated tests for complex, multi-layered systems using our Java-based framework
Drive initiatives to enhance automation infrastructure and tools to support seamless development and testing workflows.
Define, build, and maintain automation infrastructure, frameworks, and reusable libraries, to improve test execution reliability, reduce flakiness, shorten feedback loops, and increase confidence in automation results.
Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation
Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution
Enable QA automation engineers and developers with reusable components, templates, tools, dashboards, CI/CD integrations, and best practices.
Translate automation data into actionable insights for automation engineers, developers, product teams.
Identify gaps and develop tools and solutions to improve automation efficiency, stability, and scalability
Collaborate with development, product, and cross-team automation groups to ensure high-quality delivery and unified standards.

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI.
What youll do:
Own and run major features and subsystems end-to-end - youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll be comfortable shifting between how do we deploy this reliably to how does the user experience this.
Drive team culture of ownership, craftsmanship, iteration and delivery: were not just about shipping features but owning the outcome, learning fast, and improving continuously.
Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking.

We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What youll do:
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

our mission is to make the pursuit of creative hobbies simple and fun for all. our top-grossing apps put us on the fast track to building the world's largest consumer subscription service for creative learning. with over a million monthly downloads and hundreds of thousands of daily learners, we're building the ai creative companion for every home.
what data leads do here:
we are looking for a data lead to own end-to-end data -driven business and product analysis. the product data lead impacts all data aspects of the product teams ( data modeling, analytics, tests, visualization, data engineering, ml), influencing critical product decisions.
who you are:
you have product understanding and orientation
you thrive in ambiguity
you turn unstructured reality into actionable models
you are excited when learning something new and applying it
an amazing people-person and team player
you do not shy away from accountability

You will build the services behind every app our users generate - provisioning, databases, auth, billing and the APIs that hold it together. Reliability here is the product.

What you'll do
Design and build .NET services that provision and run user applications.
Own data modelling, migrations and query performance as usage grows.
Build internal APIs consumed by the web, mobile and AI teams.
Improve observability so we find problems before users report them.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.
What You'll Be Doing:
Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We are seeking a System & DevOps Engineer to join our DevOps and IT team.
Responsibilities:
Continuously improve our infrastructure to be more secure, scalable, and robust
Apply new technologies for internal and external services
Design, build, and maintain CI/CD pipelines and IaC for our infrastructure
Control and develop the monitoring and observability solutions
Manage and maintain the companys IT infrastructure, including both Ubuntu and Windows workstations, servers, and networking equipment
Provide technical support to the team, ensuring minimal disruption to daily operations.

We are looking for a talented and experienced DevOps Team Leader to join our infrastructure team. As the DevOps Team Lead, you will manage and lead the DevOps team. You will provide strong technical skills, enhance operational efficiency, design and implement scalable systems to keep Cycode running smoothly, and support our significant business growth. You will be part of an innovative, high-performance R&D department, working with cutting-edge technologies in a dynamic and agile environment.

we are looking for a Staff Data Scientist.
The Data Science department powers core engine by building production-grade algorithmic solutions at immense scale. As a Staff Data Scientist on the Identity team, you will drive the innovation roadmap for our Identity Graph Engine. You will architect, research, and deploy state-of-the-art machine learning models - spanning graph neural networks, transformers, and deep tabular architectures - to solve complex entity resolution and fraud prevention challenges at scale.
What You'll Be Doing:
Drive Identity Graph Innovation: Architect and advance the next generation of our Identity Graph Engine using state-of-the-art graph models, transformers, and machine learning techniques.
Technical Leadership: Define the research roadmap for identity resolution, setting technical standards and guiding complex research projects from initial concept to high-throughput production systems.
Large-Scale Modeling: Build scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets.
Cross-Functional Architecture: Collaborate closely with Data Engineering, Core Software, and Product teams to seamlessly integrate complex ML pipelines into real-time production environments.
Mentorship & SOTA Research: Benchmark and import cutting-edge academic research into practical business solutions while mentoring senior data scientists on modern modeling paradigms.

our company turns passive CCTV cameras into proactive Agents. We dont just detect objects - we enable customers to interact with and program their environment through natural language. Backed by a16z, our R&D team faces a massive technical challenge: translating free-form LLM intent into highly optimized, deterministic computer vision tracking pipelines that can run on deeply constrained edge hardware (NVIDIA Jetson, embedded GPUs) at 30+ FPS.
What Youll Do
Build and ship backend client-facing features end-to-end - from backend APIs, data pipelines, and frontend edits.

Translate requirements from active customer pilots and deployments into clean, production-ready code.

Integrate AI model outputs (detection, classification) into actionable product experiences.

Develop operator dashboards and alert interfaces used in live deployments.

Own the product architecture

Mentor new hires and serve as a knowledge focal point

Participate in client calls to understand constraints and validate solutions

Collaborate closely with the CTO and research team to close the gap between model capability and product UX.