Top Software Engineer Jobs in Israel

Design, build, and optimize high-performance distributed systems, core data engines, and backend backend infrastructure for AI workloads. Required: B.Sc. in CS or related, strong Linux understanding, and academic transcripts. Preferred: C/C++ and Python. Emphasis on problem solving, teamwork, communication, and eagerness to learn.

Design, implement, and maintain the cluster-manager for large-scale block storage. Develop lifecycle and RAID management features, debug production C/C++ code, coordinate QA testing, analyze customer issues, and collaborate with networking, hardware, and external teams to deliver high-performance, highly scalable storage services.

The role involves designing smart energy management solutions, developing high-quality code, integrating with hardware, and enhancing development using AI tools.

Design and build cloud-native infrastructure services and Kubernetes operators; own shared components (Kafka, Debezium); develop GitOps/CD pipelines; enable self-service platforms; measure KPIs and ensure production-grade observability, failure handling, and upgradeability.

Build Python-based distributed test frameworks, chaos and simulation tools, and AI-augmented validation to stress-test and verify large-scale storage, RDMA, and Raft systems, while creating observability and telemetry for reliability.

Lead architecture and implementation of cloud-native, distributed backend systems for non-human identity and AI agent security. Design data pipelines, integrations with SaaS platforms, messaging/streaming systems, REST/gRPC APIs, and ensure high availability, performance, and operational excellence while mentoring engineering teams.

Develop and automate complex test scenarios and tools (primarily in Python), design testing infrastructure and plans for large-scale storage systems, participate in product architecture, diagnose race conditions and performance issues, and authorize release sign-off for product quality.

Build and own developer-facing infrastructure and tools across the SDLC (SCM, build, CI, testing, environments, feature flags, deployment, metrics). Collaborate with Engineering, DevOps and SRE to gather requirements, deliver solutions, drive adoption, and evangelize modern dev tools and practices to improve R&D efficiency.

Build and own core full-stack features for an AI-driven healthcare platform. Design and implement scalable, production-grade systems using LLMs, serverless AWS services, and real-time data, collaborating with R&D, Product, Clinical, and Data teams.

Design, implement and optimize an NPU (Neural Network Processor) simulator in C/C++ (OOP), collaborating with architecture, algorithms, systems and hardware teams to enable efficient execution of advanced AI networks for edge devices. Analyze and improve simulator performance and accuracy across Ceva processor architectures.

The Senior iOS Engineer will lead engineering and product decisions, actively ship iOS app code, and maintain complex app architecture while contributing to product discussions.

The Software Engineer, Platform will design, develop, and maintain backend APIs, ensuring they meet business and scalability requirements while enhancing performance and collaborating with cross-functional teams on product strategy.

As a Software Engineer for Data Infrastructure & Acquisition, you will manage data collection processes, optimize data ingestion pipelines, and collaborate with AI scientists to enhance data quality for model training.

Lead end-to-end development of LLM-based applications and proprietary AI agents, build and maintain backend systems, collaborate with research and engineering, and deliver production-ready features.

Own end-to-end feature development across the stack, build LLM-based applications and proprietary AI agents, collaborate via design/code reviews, and partner with research and engineering to deploy and iterate on agentic AI solutions for mobile ad creative optimization.

The Frontend/Fullstack Software Engineer will develop web applications integrating AI agents, design responsive UIs, and create robust APIs while collaborating with product teams and AI engineers.

Develop and deploy autonomous AI agents for enterprise workflows, integrating APIs and managing data pipelines, focusing on security and scalability.

The Backend Software Engineer will develop and improve backend services, take ownership of feature delivery, and mentor juniors while collaborating with other teams.

Design and implement software to optimize deep learning models (quantization, pruning, compression) for efficient inference on low-power automotive hardware. Develop in Python and PyTorch, collaborate with algorithm teams, run literature research and POCs, and support full software lifecycle including testing and CI/CD.

Design, develop, and maintain high-performance C++ backend services on Linux for clustered storage systems. Optimize I/O, metadata, persistence, databases, caching, and concurrency. Troubleshoot production issues and improve scalability, stability, and resource efficiency while collaborating with cross-functional teams.

Design, develop, and optimize core components of an AI-driven software stack. Implement API layers, command pipelines, and memory management; collaborate with hardware and kernel teams; debug across user-to-hardware layers; and optimize for performance and throughput.

Design, develop, deploy, and maintain agents and threat-detection algorithms across the full data pipeline. Collaborate with backend and DevOps teams, operate across major cloud providers, and work with Kubernetes, OpenSearch, and Redis.

Design and maintain AI capabilities, develop internal server, implement AI safety frameworks, optimize systems, and promote AI readiness across teams.

The role involves building web acquisition systems for AI, focusing on browser automation, handling dynamic web conditions, and collaborating with diverse teams to improve real-time data retrieval.

The Software Engineer will design and build distributed systems, optimize data pipelines, improve system performance, and contribute to architectural decisions.