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A full-time, company-funded software engineering training program for graduates in STEM and other analytical scientific disciplines. Participants develop practical skills through hands-on projects and may be considered for software engineering roles after completing the program and passing a##?

Join an enterprise software company’s architecture group to design, build, and evolve distributed systems. You will guide Foundry projects from internal innovation through production readiness while collaborating with engineering, product, and business stakeholders in a hands-on role based in TelAv-

Join a SaaS platform team building distributed, cloud-native applications and backend services focused on scalability, availability, and security.

Lead the architecture of an enterprise data warehouse in AWS, designing scalable data infrastructure and technology roadmaps for large-scale analytics, business intelligence, and AI solutions.

Join a global engineering team developing high-performance block storage services for cloud and DPU environments. The role focuses on hands-on C/C++ development across Linux kernel and userspace components.

Join a software architecture research team developing networking, security, communications, and accelerated-computing solutions. The role is suitable for recent science and engineering graduates with up to two years of relevant experience.

Lead the vision and development of generative AI capabilities for investigative intelligence software. Own the AI roadmap, guide a data science team, and deliver scalable production solutions using LLMs, agentic workflows, and classical machine learning.

Join a founding Security R&D team building production-grade security capabilities for enterprise software. The role combines software engineering, security automation, AI integrations, and collaboration with product and AI security teams.

An R&D team in medical imaging is seeking a software engineer with at least three years of experience to develop application and backend components across software, cloud, hardware, and AI systems.

Develop production systems that connect machine learning research with enterprise cybersecurity products. You will build scalable backend services, ML workflows, data pipelines, and model lifecycle infrastructure while collaborating with ML scientists, data and infrastructure engineers, and DevOps.