Top Software Engineer Jobs in Israel

Develop and integrate a multi-RAT RAN digital twin for LTE and 5G NR. Build simulation, modeling, automation, data analysis, testing, and CI/CD capabilities using C/C++ and Python. Model communication-system behavior, evaluate AI/ML network optimization, create reproducible experiments and datasets, validate simulations against lab results, and debug across software, configurations, and measurements. Collaborate with RAN, PHY, systems, AI/ML, automation, and validation teams.

Design, implement, and operate high-scale security services for Cato’s threat prevention products. The role involves researching technologies, building SaaS microservices, supporting inline and out-of-band security capabilities, testing through continuous integration, collaborating across engineering and operations teams, and applying AI technologies to improve development and security outcomes.

Design, build, and optimize production-grade automotive imaging radar software. Implement complex DSP algorithms on multi-core, distributed-memory platforms; plan memory, data transfer, computation pipelines, and core utilization for resource-constrained environments. Collaborate with research teams and contribute to innovative autonomous-driving sensor technology.

Develop and maintain software for advanced semiconductor systems across the full development lifecycle. Responsibilities include coding, testing, deployment, defect resolution, performance troubleshooting, documentation, code reviews, product release support, and collaboration with systems, hardware, QA, and field-support teams. The role focuses on C#/.NET, multithreaded programming, Windows applications, software quality, and integration with hardware-driven industrial systems.

Own engineering for Funnel Fighters, building data pipelines that ingest hourly data from advertising, landing page, product event, and billing sources. Design unified, machine-readable data models with freshness, lineage, auditability, and API access. Develop systems that enable AI agents to analyze marketing funnels, make platform changes, and measure impact. Work independently in a small, founder-led startup environment.

Lead frontend infrastructure strategy and architecture, design scalable microfrontend solutions, maintain centralized React component library, improve developer workflows, implement CI/CD and automated testing, mentor teams, and contribute hands-on code to accelerate product teams.

Build and shape render.ai, an AI-native product, from user needs through production. Develop end-to-end experiences across the stack using React/Next.js, Node.js, and TypeScript, while managing cloud infrastructure, CI/CD, and production systems. Collaborate closely with product and engineering teammates, exercise strong UX judgment, use AI-assisted development effectively, and create clarity in an early-stage startup environment.

Build NVIDIA’s AIOps platform for monitoring GPU fleets, processing massive telemetry streams, delivering predictive analytics, and automating diagnostics and corrective actions. Design high-scale distributed systems, data storage strategies, observability infrastructure, and model-serving platforms for SaaS and on-premises deployments. Develop core libraries, productionize ML models, and support reliable, enterprise-grade AI infrastructure.

Own the architecture, reliability, and performance of a sub-second Near-RT RIC telecom platform spanning C, C++, Go, protocols, messaging, Redis, and 50+ microservices. Lead protocol upgrades, migrations, and cross-team technical initiatives; establish architectural standards; resolve cross-service issues; review latency- and safety-critical designs; and mentor engineers. The role requires deep distributed-systems expertise, concurrency knowledge, Linux debugging, protocol handling, and experience leading complex systems into production.

Build autonomous, AI-driven quality infrastructure for a distributed AI data platform. Design Python frameworks and LLM-based agents that generate, execute, and self-correct tests; stress-test data integrity and multi-node failures; automate regression detection; and integrate intelligent evaluation pipelines into CI/CD. The role requires strong software engineering, distributed systems knowledge, Linux, containerization, and familiarity with LLMs and agentic development.

Design and implement features for Windows as a guest OS on OpenShift Virtualization, mentor teams, troubleshoot issues, and engage with communities.

Develop and maintain device drivers and platform flows, integrate and test software with real hardware, collaborate with hardware and system engineers, and implement/optimize device control logic for high-performance semiconductor inspection systems.

Own and scale NVIDIA’s HSM-backed product signing platform for Israel-based teams. Responsibilities include production incident response, debugging, deploying fixes, root-cause remediation, onboarding teams to signing and key-generation workflows, building AI-enabled self-service automation, contributing to roadmap planning, and partnering with global engineering, DevOps, and release teams. The role also supports hiring and mentoring a growing local team.

Design and implement cloud-native, real-time identity threat detection systems processing billions of authentication events. Build streaming detection pipelines, a pluggable rule engine, ML and LLM-based anomaly models, and ensure observability, latency SLOs, safe rollouts, and incident response. Collaborate with security researchers and cross-functional teams to translate research into production detections.

Develop and maintain Sunbit’s core loan application system, contributing to large-scale architecture, high-performance services, and clean, maintainable code. Solve complex architectural challenges, collaborate with engineering teams, maintain system quality, and mentor junior developers. The role involves modern software engineering practices, with preferred experience in Kotlin or Java, AWS, Spring, microservices, event streaming, data mesh, and financial services.

Develops and validates automated software and systems testing for regulated medical products. Responsibilities include creating test strategies, traceability matrices, test architectures, automated testing components, CI/CD execution, debugging, performance analysis, and product verification. Collaborates across global teams, supports product development activities, troubleshoots existing products, and communicates technical findings. The role applies AI coding tools, agentic automation, and modern Agile, TDD, and BDD practices.

Design, develop, and deploy automated manufacturing test platforms for telecom, networking, and optical hardware. Consolidate legacy R&D tools, refactor test software, integrate AI-assisted development, and deploy test stations at global manufacturing facilities. Support production bring-up, stabilization, failure analysis, maintenance, cycle-time optimization, and MES/QMS/SFC integration. Collaborate with hardware, firmware, and validation teams while creating documentation, analytics tools, and root-cause reports.

Design, implement, and operate high-scale backend services and data pipelines powering an agentic search platform. Build orchestration components, observability, experimentation capabilities, and performance improvements for latency-sensitive systems handling thousands of requests per second. Collaborate with ML engineers, data analysts, and product managers to improve search quality, reliability, scalability, and infrastructure efficiency.

Develop embedded C firmware, BSPs, and low-level drivers for FPGA-based cardiovascular medical devices. Integrate software with hardware peripherals, debug firmware and hardware issues, and collaborate with hardware engineers. The role involves bare-metal or RTOS systems, device interfaces, debugging tools, version control, and FPGA toolchains.

Build and ship AI and agentic products end to end, including backend services, agent runtimes, LLM integrations, and React-based product experiences. Write maintainable code, contribute to technical planning, resolve customer issues, create automated tests, and mentor engineers. The role requires deep practical use of AI agents, including custom MCP servers, tools, skills, and automated workflows, with opportunities to work on distributed systems.

Build and ship end-to-end product features using Python and TypeScript, including backend services, APIs, integrations, data pipelines, and user interfaces. Own projects from design through implementation, testing, deployment, and monitoring. Collaborate with product, design, and users while contributing to architecture and handling large-scale, complex data. The role requires strong software engineering fundamentals, cloud experience, autonomy, and effective communication.

Design, develop, and maintain automated tests for networking switches and adapters. Collaborate with HW, ASIC, and SW teams to define, verify, and validate tests across development and production. Debug, fix bugs, support production deployments and maintenance, and optimize testing procedures while driving projects to completion under schedule pressure.

Develop and optimize high-performance Python diagnostic tools for NVIDIA networking platforms, supporting hardware-level diagnostics, real-time monitoring, and system performance tuning. Collaborate with hardware, firmware, and driver teams to resolve complex issues, own features through the full software lifecycle, and support data centers and HPC environments. The role requires strong networking, Linux, debugging, and performance-critical systems expertise.

Lead integrations and automation for DPU software: develop SDKs, build systems, and tooling; create system scripts for networking technologies; maintain complex build pipelines; prototype new technologies; and collaborate with architects, QA, and verification teams to improve release processes.

Design and develop verification infrastructure for the NVIDIA DOCA SDK, executing thousands of tests across hardware platforms and configurations. Build systems for error handling, fault recovery, test-result storage and analysis, dashboards, and reporting. Collaborate with engineering teams to deliver reliable, high-quality software on schedule.