Top Software Engineer Jobs in Jerusalem

Design, develop, and deliver scalable full-stack web applications across frontend and backend. Build REST APIs, client-side React features, and automated tests. Collaborate in Agile teams, use modern build pipelines and Git workflows, and leverage AI-assisted engineering tools to improve code quality and productivity.

Perform software bring-up and early validation of Wayve's AI stack on customer automotive hardware. Integrate drivers, middleware and runtimes, automate flashing and health checks, add diagnostics and secure-boot, and integrate platforms into CI/CD, HIL and test infrastructures while collaborating with OEMs, Verification and Release teams.

Design, develop, and deliver scalable full-stack web applications across frontend and backend. Build REST APIs, client-side React experiences, and production-grade services. Work in Agile teams, write automated tests, use modern build pipelines and Git workflows, and apply AI-assisted engineering tools to improve productivity and code quality.

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.

As a Software Engineer (GenAI-Focused), you will improve the DoiT Cloud Intelligence product, implementing new features and optimizing AI-based solutions. Responsibilities include code implementation, peer reviews, and technical maintenance, collaborating with cross-functional teams, and solving complex cloud and AI challenges.

Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.

Lead design and delivery of high-availability cryptographic infrastructure (MPC, KMS, HSM) to protect customer assets and ensure regulatory compliance. Define multi-quarter technical strategy, implement secure cryptographic protocols in a zero-trust environment, mentor senior engineers, drive engineering quality, and align cross-functional partners for flawless execution.

The AI Software Engineer will optimize computer vision pipelines for edge systems, ensuring performance and reliability while processing real-time maritime video streams.

Design and implement software infrastructure, APIs, and workflows to enable fault-tolerant quantum computing. Collaborate with researchers and engineers to productionize algorithms, integrate simulation/decoding/resource estimation, and build scalable, well-tested systems supporting customer-facing demos and platform capabilities.

Develop and enhance the execution product for quantum computing by creating new functionalities, debugging complex systems, and collaborating with teams.

As a Software Engineer at Qedma, you will develop algorithms, bridge research and production environments, and work on quantum computing technology.

Implement, extend, and integrate a Salesforce-based compliance platform for life sciences customers. Build Apex/LWC solutions, Python scripts, and AWS workflows; design AI-powered agents and internal tools; migrate data; translate vague customer requirements into working configurations; collaborate with R&D, Product, and Customer Success.

As a Backend Software Engineer, you'll take ownership of features from design to deployment, develop systems for performance scalability, and maintain code infrastructure for cyber-physical systems security.

Design, build, and maintain the cloud-based backend for a RaaS platform. Lead architecture and early technical decisions, implement core backend logic, infra, tests, automation, and collaborate with cross-functional agile teams to deliver robust, scalable microservices.

As a Backend Engineer, you will own features from design to deployment, plan, design, and develop systems prioritizing performance and scalability, and maintain the code infrastructure.

Seeking a strong Backend Software Engineer to develop scalable systems in C, working on the full product cycle within a multithreaded environment.

The role involves developing a runtime compiler for accelerating HPC and AI applications, requiring collaboration with hardware teams and designing APIs for integration.

Develop a new communication stack, including network drivers and user-space libraries, focused on low-latency applications and collaboration with hardware teams.

Design, develop, and deploy generative AI solutions for B2B SaaS products, guiding strategic integration and optimizing performance.

Founding engineer responsible for architecting and building core backend systems, writing scalable Python code, designing and maintaining AI/ML infrastructure, establishing engineering best practices (testing, CI/CD), collaborating on product roadmap, and mentoring future hires.

Design and own cloud-native microservices that protect enterprise workspaces from web and AI-based threats. Build security capabilities for GenAI and endpoint controls, integrate backends with browser extensions and OS agents, ensure high availability, and collaborate with DevOps, Product, and Security to rapidly deliver secure, scalable code.

As a Senior Software Engineer, you'll develop and maintain data integration frameworks, enhance performance, and optimize JVM applications for ClickHouse, collaborating with internal teams and the open-source community.

As a Senior Software Engineer, you will design and maintain production systems, write high-quality code, improve performance, and collaborate with various teams on software features.

Own and optimize the retrieval layer for an LLM-powered financial intelligence product. Build hybrid (keyword + vector) search, integrate OpenAI embeddings with Elasticsearch, tune relevance, index long documents, and develop low-latency Python/FastAPI services to support RAG workflows.