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Location
In office (Holon)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Jul 29, 2026. Elbit Systems scores A on the Alion truth index.

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Elbit Systems is an Israeli defence electronics company founded in 1966 and headquartered in Haifa, and the largest privately owned defence contractor in the country. It supplies unmanned aircraft including the widely exported Hermes family, artillery systems such as the PULS rocket launcher, active protection for armoured vehicles, and the helmet-mounted display systems worn by pilots of the F-35 and other combat aircraft. The company has grown substantially through acquisition, including IMI Systems and the night vision business of Harris, and it derives most of its revenue from exports across Europe, Asia and the Americas rather than from its home market.

Elbit Systems' ISTAR & EW AI R&D Group is seeking a talented and experiencedAI & Deep Learning Researcher to join our dynamic and innovative research team.

Our expertise lies in AI for signals, including radar, communication, electronic warfare and acoustic signals. We use deep learning and reinforcement learning to solve challenging problems in these domains

You will be joining an experienced and mature team with strong AI research methodologies and all the necessary infrastructure to conduct advanced AI research using modern AI development tools. You will work alongside researchers who are signal-domain experts and combine your AI expertise with their domain knowledge to create state-of-the-art solutions

Responsibilities:

Research, design, and develop Machine Learning, Deep Learning and Reinforcement Learning algorithms

Apply AI techniques to signal-processing challenges

Collaborate closely with multidisciplinary teams, including AI researchers, signal-processing experts, and system engineers

Stay up to date with the latest advancements in AI and contribute innovative ideas to ongoing projects

Requirements:

Master's or Ph.D. degree in Electrical Engineering, Computer Science, or a related field from a leading university

3+ years of hands-on experience in Deep Learning and Reinforcement Learning algorithm development

Proficiency in Python and deep learning frameworks such as PyTorch and/or TensorFlow

Significant advantage: Strong understanding of signal processing, including signal-processing concepts, terminology, and techniques

Personal Skills:

Excellent interpersonal skills

Enjoys sharing knowledge and collaborating with others

Passion for continuous learning and professional development

Independent, responsible, and self-motivated

*Only relevant applications will be answered

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