דרושים » חשמל ואלקטרוניקה » VLSI Full Stack Software Engineer

We are seeking a passionate and highly skilled Senior Golang Developer to join our dynamic Software Engineering team. The ideal candidate is an expert Go engineer with a strong background in building scalable, high-performance distributed backend systems on the cloud. You should be enthusiastic about working with cutting-edge technologies in an Agile environment and capable of owning complex components end-to-end, taking an idea through design, testing, and production monitoring.

What will you do:
Responsible for the full lifecycle of our distributed services, focusing on performance, reliability, and innovation: Design & Development
* Architect, design, and implement robust backend services and distributed system components using Go, ensuring high scalability, reliability, and performance.
* Develop microservices and server side infrastructure with clean, maintainable, and testable code.
* System Ownership: Take full ownership of complex components, moving them from initial concept design through development, testing, CI/CD, and production deployment and monitoring. System Optimization & Data
* Optimize service performance, parallel processing, concurrency handling, and resource utilization in high-scale environments.
* Work with a variety of data stores and event-streaming technologies.
* Integrate services with technologies like OpenSearch, Redis, and column store databases as part of the system architecture.
* Implement secure development practices and production ready standards. Collaboration & DevOps
* Work closely with Data Engineering, DevOps, and Product teams to deliver high quality, production grade services.
* Develop and deploy applications in Kubernetes environments, leveraging strong DevOps best practices and CI/CD pipelines for smooth, reliable releases.
* Participate actively in code reviews, design discussions, and cross team technical initiatives. Innovation
* Explore new technologies, evaluate tools, and propose improvements to the existing stack and development processes, championing a culture of continuous improvement and technical excellence.


About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our R&D team as a Senior Full Stack Engineer. We are looking for a highly experienced Python developer to take end-to-end ownership of our entire stack. This role requires deep expertise in architecting scalable, modular, and distributed systems, a proven ability to craft modern frontend experiences, and a strong background in integrating AI-driven capabilities. The ideal candidate will be responsible for everything from data pipelines and architecture to user-facing features and the implementation of LLM-powered intelligence.

Responsibilities
Design, build, and scale backend services, APIs, MCPs, and data pipelines to support high performance, reliability, and growth
Architect and implement distributed, event-driven solutions using technologies like Kafka, RabbitMQ, or similar brokers.
Design robust systems and database models to ensure efficient data flow, maintainability, and support for AI-driven features across the stack.
Integrate Large Language Models (LLMs) into core systems, applying prompt engineering techniques to power intelligent, high-performance capabilities.
Build frontend features using modern frameworks and deliver intuitive, user-centric interfaces aligned with business and product goals.
Write clean, maintainable, and testable code with strong attention to quality, observability, and scalability.
Collaborate with product, design, and engineering teams to align technical solutions with business priorities.
Drive technical design discussions, mentor other developers, and contribute to overall architectural strategy.
Take ownership of development tasks from design and implementation through deployment, monitoring, and iteration.

We are looking for a Senior Software Engineer to join our team developing software solutions to control our HW in Python on Linux for various internal engineering groups, including chip designers, algorithm engineers, PHY characterization engineers, optics engineers, and other R&D teams. Our work includes building and maintaining a framework, as well as developing GUI tools that support complex engineering workflows. This role combines advanced software engineering with a hardware-oriented perspective the ideal candidate should have both the interest and background in areas such as hardware, Linux systems, and low-level drivers.

Collaborate with the development team to improve existing framework and tools, suggest creative solutions, and develop new projects.

In our group, software engineers are responsible for the full lifecycle of solutions from defining requirements and designing architectures to implementation, integration, and delivery. This approach allows every team member to grow professionally, develop a broad skills, and unlock their full potential.

What youll be doing:

Design, develop, and maintain Python-based software solutions (framework, internal tools, GUI applications with PyQt).

Collaborate with internal customers including chip designers, algorithm engineers, optics engineers, PHY characterization engineers, and other R&D teams to understand requirements and translate them into robust solutions.

Take full ownership of projects: define the solution, design the architecture, implement, integrate, and support production-ready tools.

Extend existing framework and tools, while also designing and implementing new ones from scratch.

Work within Linux environments, integrating software with hardware interfaces, drivers, and engineering workflows.

Apply OOP principles and design patterns to build scalable, maintainable software architectures.

We are looking for a highly skilled Backend Engineer Developer to join our platform management team. This team is responsible for the development, scaling, and maintenance of our core platform, which serves as the backbone for our product offerings.

Youll work on both backend and frontend technologies, designing and implementing features that drive our platforms growth, stability, and performance.

If you are passionate about building scalable, high-performance systems and enjoy solving complex technical challenges, we would love to hear from you!


Key responsibilities

Lead, design and build highly scalable and high-quality web applications by enforcing best practices around software engineering architecture and processes
Raise the bar on engineering excellence by improving standard methodologies, producing best in class of code, documentation, testing, and monitoring
Identifying and resolving technical issues and performance bottlenecks.
Collaborate with cross-functional teams (including Product managers, DevOps, and Support) to ensure smooth feature releases and platform stability
Stay up to date with emerging technologies and industry trends. Implement improvements and leverage new technologies to enhance platform capabilities.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

We are seeking an experienced and motivated CAD Engineer to join our CAD development team. We are looking for candidates with a strong hardware background and robust software skills, passionate about advancing the development and application of non-EDA tools for circuit analysis. This role involves deep studies of circuit behavior at both the standard cell (STDCELL) and block levels, and offers the opportunity to collaborate with multiple teams across us.

What Youll Be Doing:

Develop and maintain CAD solutions for both transistor-level and block-level circuit analysis.

Conduct studies of circuit behavior at both STDCELL and block levels, informing tool development and design improvements.

Work with our quality teams on transistor-level analysis to enhance circuit reliability and performance.

Work with other teams to identify, develop, and deploy advanced CAD solutions addressing design challenges.

Engage directly with design projects, leveraging CAD tools to solve and improve complex circuit design challenges.

We are seeking a highly skilled and motivated Team Leader to build and lead a new team dedicated to developing orchestration tools and software solutions for AI datacenters.
The main goal of this team is to design and deliver customer-focused orchestration platforms that simplify the deployment, management, and monitoring of large-scale AI workloads.
This role combines technical leadership with hands-on development, covering the entire AI datacenter ecosystem including switches, hosts, smart NICs, GPUs, ROCm, and RCCL. The team will primarily develop in Python, complemented by modern full-stack technologies for user interfaces and control systems.
Key Responsibilities:
Lead and mentor a team of engineers building orchestration tools that manage complex AI datacenter infrastructures.
Define the teams vision, roadmap, and architecture for orchestration solutions that enhance customer experience and operational efficiency.
Design and implement distributed control and orchestration systems using Python and full-stack frameworks.
Collaborate with networking, compute, and AI acceleration teams to integrate orchestration capabilities across all datacenter components (switches, NICs, GPUs, and software stacks).
Work closely with product, QA, and DevOps teams to identify customer requirements and translate them into scalable, production-grade orchestration platforms.
Ensure software reliability, scalability, and maintainability through strong design principles, testing, and CI/CD practices.
Foster a culture of innovation, technical excellence, and cross-functional collaboration.

We are looking for a motivated and experienced Senior Developer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in cloud environments and will excel in developing advanced cloud-related features. Proficiency in NodeJS (Typescript), MongoDB, Kubernetes, Docker, and data queues is essential for this role, as you will be instrumental in refining our cloud CTEM offering.

Key Responsibilities:

Design and implement advanced cloud-related features to enhance our existing offerings.
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing techniques with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.
Develop attack techniques for AI technologies, implement cloud features relating to AI exposures.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.