דרושים » מדעים מדוייקים » Customer Success Physicist- Israel

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, 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.
We are seeking a hands-on Python Tech Lead to oversee a small team of 2-3 engineers focused on high-level quantum computing software development, within our High-Level Software team. The role includes leading high-level software design and developing Python packages that enable our customers to write both basic and advanced quantum programs.
Responsibilities
Lead and mentor a small team of 2-3 Python engineers, providing technical guidance, code reviews, and architectural direction.
Drive the design and development of high-level quantum computing software within the High-Level Software group.
Design, implement, and maintain Python packages that enable customers to write both basic and advanced quantum programs.
Define and uphold best practices in software design, testing, documentation, and code quality across the team.
Collaborate with product managers, quantum researchers, and other engineering teams to translate product needs into robust software solutions.
Own the end-to-end architecture of high-level software components, ensuring scalability, clarity, and long-term maintainability.
Lead hands-on development efforts: write code, prototype features, debug complex issues, and contribute directly to the codebase.
Oversee release processes, versioning, and integration with the broader quantum-computing software ecosystem.
Identify technical risks, propose mitigation strategies, and drive continuous improvements in performance, developer experience, and reliability.

We are looking for a creative and impact-driven Software Engineer Solutions to join our Solutions team. This is a hands-on role at the forefront of Generative AI adoption, where you will design and implement real-world solutions built on products, including Maestro and Jamba.
Youll combine deep technical skills with strong interpersonal abilities becoming an expert in Large Language Models (LLMs), guiding strategic accounts as a trusted advisor, and collaborating closely with clients product and engineering teams. Your work will not only deliver business impact for customers, but also shape= product roadmap through the insights and best practices you bring back from the field.
Role and Responsibilities
Gain an in-depth understanding of client goals and constraints and translate them into technical specifications
Design and implement effective solutions using models and APIs including writing code, integrating APIs and building scalable pipelines
Own the technical delivery across the customer lifecycle, from proof-of-concept to production deployment, scaling, monitoring, and ongoing optimization engaging R&D teams where deeper specialization is required
Partner with Customer Success and Sales to drive successful engagements, supporting both new opportunities and expansion of existing use cases
Act as the customers trusted advisor, while channeling feedback, challenges, and opportunities from the field to Product to guide roadmap decisions
Gather client feedback to highlight challenges and opportunities, driving model improvements and shaping the product roadmap

Were looking for a Data Scientist to join our AI team and play a pivotal role in transforming ASPM solution with AI.
In this position, youll develop and integrate AI-powered features to detect, prioritize, and remediate vulnerabilities while leveraging analytics to drive actionable business insights.
This is your chance to work on groundbreaking technology in a fast-paced startup environment, where your contributions will directly impact our product and market success.
What You'll Do:
Design and develop end-to-end AI/ML systems to enhance ASPM platform with intelligent vulnerability detection, prioritization, and remediation.
Analyze internal company data to generate actionable insights that drive business strategy and growth.
Lead technical projects, providing mentorship and guidance to team members.
Collaborate with cross-functional teams, including Product, Engineering, and Business, to understand requirements and deliver impactful solutions.
Build scalable, maintainable, and secure AI systems using tools like PyTorch, LangChain, and Python frameworks (e.g., FastAPI).
Continuously research and experiment with the latest advancements in AI and ML to keep Cycode at the forefront of innovation.
Ensure high-quality deliverables through a balanced approach of quick iteration and rigorous testing.

We are looking for an experienced Engineering Team Leader to drive and oversee the development of our infrastructure platform.
You'll lead a team focused on building Python-based microservices, infrastructure automation, and cloud-native solutions.
This role combines technical leadership with hands-on development, emphasizing strong Linux expertise and distributed systems knowledge.
The Infrastructure group focuses on developing scalable microservices architectures and automation systems that power our platform. As the team leader, you'll guide the development of Python-based services while ensuring robust infrastructure practices.

The computer vision team is working to transform hematology into a big-data science, ultimately enabling better healthcare. We are seeking a senior research engineer to join us in making this revolution a reality.

Your responsibilities will include:
Contributing expertise to the team to extract maximum value from available visual data. Serving as a knowledgeable resource, capable of respectfully teaching and guiding others, while continuously learning and growing.
Researching and implementing AI technology, including deep learning and classical computer vision approaches. Designing and developing efficient, clear and production-ready Python code to ensure rapid and seamless product integration.
Actively participating in researching new directions: sharing ideas and best practices, defining data requirements, contributing to improving the team's internal research tools, and supporting other team members with their research efforts.

We are seeking an experienced and highly skilled Senior Python Backend Developer to join our dynamic team.
You will be at the heart of our engineering efforts, responsible for designing, developing, and maintaining the high-performance, scalable, and secure cloud-based solutions that power our Fintech Compliance and Risk management products.
Working with cutting-edge technologies like Python, Node.js, and AWS, you will build innovative, low-latency, and highly available systems that form the core of our business. In this role, you will be instrumental in shaping our technical architecture and driving excellence in a fast-paced, evolving environment.
Key Responsibilities:
Architecture & Development: Lead the design and development of robust, scalable, and secure backend systems and APIs, primarily using Python.
Cloud Infrastructure: Architect, build, and maintain high-scale solutions on modern cloud platforms (specifically AWS) to ensure reliability, scalability, and performance.
System Performance: Design and implement services optimized for low-latency processing, high availability, and fault tolerance for mission-critical financial applications.
Technical Leadership: Provide technical leadership and mentorship to junior and mid-level developers, fostering best practices in code quality, testing, and maintainability.
Product Focus: Develop and enhance Compliance and Risk management products for the Fintech sector, ensuring they meet strict regulatory requirements and industry standards.
Optimization & Reliability: Take ownership of system performance, scalability, and reliability. Proactively identify and resolve bottlenecks in code and architecture.
Collaboration: Work closely with cross-functional teams, including frontend developers, DevOps engineers, and product managers, to deliver seamless end-to-end solutions.
Innovation: Stay current with emerging technologies and industry trends, driving the adoption of new tools and frameworks to solve complex challenges effectively.

We're looking for a Senior SRE Engineer who combines strong infrastructure expertise with solid programming skills to help scale our platform, who can balance operational excellence with software development.
This is an exciting opportunity to build SRE processes from the ground up - creating new reliability pipelines, monitoring frameworks, and foundational practices that will scale with our rapid growth.
You'll lead our infrastructure and reliability efforts while writing code to automate, optimize, and enhance our systems. This role requires both deep technical expertise and the ability to mentor team members as we scale.
Stack: AWS, Python, EKS, K8s, Kafka, RabbitMQ, Pulumi, PostgreSQL, Databricks, GitHub Actions
Core Responsibilities:
Design and implement scalable, reliable infrastructure solutions on AWS using Infrastructure as Code (Terraform/Pulumi).
Build and maintain sophisticated CI/CD pipelines with GitOps methodologies.
Develop custom tooling and automation scripts in Python/Go/similar languages to improve operational efficiency.
Architect and implement comprehensive observability solutions (metrics, logging, tracing, alerting).
Define and track SLIs/SLOs/Error Budgets to ensure system reliability.
Lead incident response, conduct thorough post-mortems, and drive systemic improvements.
Optimize cloud costs through data-driven analysis and architectural improvements.
Collaborate with development teams to improve application reliability and performance.
Mentor team members on SRE best practices and infrastructure design patterns.

We are looking for a senior backend engineer who is truly cross functional possesses strong engineering foundations for developing highly performant services.
The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs.
They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users.
Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI.
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.

we are seeking a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our revenue and monetization platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - from payment infrastructure and pricing systems to core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our commercial systems are robust, compliant, and optimized for growth.
Responsibilities:
Own and evolve our payment infrastructure, including integration with payment providers (Stripe, PayPal, etc.), subscription management, and billing systems.
Design and implement flexible pricing models and promotional systems that support diverse customer segments and go-to-market strategies.
Optimize checkout flows and payment conversion rates through experimentation and data-driven improvements.
Collaborate with Product, Finance, and Marketing teams to support new monetization features and business initiatives.
Monitor payment system health, investigating and resolving transaction failures, refunds and reconciliation issues.
Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems.
Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams.
Create internal tools and frameworks that improve developer productivity and system reliability.
Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure.