Top Tech Jobs & Startup Jobs in Israel

Lead architecture and integration of RISC-V-based compute clusters and vector engines for AI acceleration. Define ISA extensions, interconnects, memory hierarchies, scheduling, and cache utilization; collaborate with compiler, ML runtime, RTL, verification, and firmware teams; evaluate performance/power trade-offs; and specify debug, trace, and performance-monitoring features to deliver scalable, power-efficient AI SoC compute subsystems.

Perform end-to-end data research and analysis to improve maritime core-data algorithms. Extract and analyze GEOINT, SIGINT, and ADINT fused with maritime signals using Python and databases. Leverage generative AI/LLM tools, maintain data quality, visualize and document findings, and collaborate with cross-functional teams to drive product and engineering decisions.

Design, develop, implement, and test algorithms and LLM-enabled solutions; collaborate with product and engineering teams; research new techniques; build benchmarks and lead algorithm development to improve product performance and scalability.

Manage and optimize global PPC campaigns, handling over $100K/month. Build campaigns, monitor ads/keywords/SQR/QS/bids, expand activity against revenue goals, and deliver weekly, monthly, and quarterly reporting.

Develop application, control, and communication layers for a counter-drone embedded unit. Work in an agile team to design, code, integrate, and deliver end-to-end solutions, adhering to high software development standards and collaborating with cross-functional engineers.

Design, deploy, and operate large-scale AWS and on-prem production infrastructure. Secure and manage networking, virtualization, load balancers, and firewalls. Automate deployments and infrastructure with IaC and scripting. Troubleshoot web and application issues and collaborate with development, security, and operations teams.

Own and scale Echo's image factory: define roadmap, partner with DevOps/platform/backend engineers to automate build, test, and release workflows, convert operational pain points into product requirements, use build/dependency data to identify bottlenecks, and ensure reliable, high-throughput image scaling.

Investigate and resolve complex production issues, build automation and internal tooling, create AI/LLM-powered operational tools, collaborate with Operations/Product/R&D, analyze operational data for scalable solutions, and manage long-term technical projects.

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 develop robust data pipelines and integrations for financial applications, ensuring high availability and data governance.