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Salary
≈ $92k – $239k per year (Estimated)
Location
In office (Rehovot)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Sep 8, 2026. Elbit Systems scores A on the Alion truth index.

Overview
Company
Impact
Profile match
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.

Join our Computer Vision, Signal Processing and AI Group within ISTAR & EW Division at our Rehovot site and become part of a team pushing the boundaries of what's possible in defense technology

We're seeking a strong real-time/signal processing software developer familiar with the implementation of computer vision algorithms. Our systems require the efficient and reliable implementation of advanced algorithms, pushing far beyond the publicly known algorithmic solutions - this is your opportunity to make a real impact

Implement and optimize algorithms for real-time processing in operational environments

Collaborate with system engineering and software development teams to integrate solutions

Perform deep operations-research of algorithms as they operate on real and synthetic data

Contribute to system-level understanding and integration of complex solutions

Requirements

B.Sc. in Computer Science, Computer Engineering, or a related field from a recognized university

At least 5 years of hands-on C++ programming experience, including optimization for parallel processing

At least 3 years of hands-on experience in Embedded or Edge computing environments, particularly Embedded Linux

Practical experience in deep learning frameworks and model implementation

High-level communication skills and ability to work effectively in multi-interface environments

Ability to manage multiple concurrent projects and tasks

Experience with standard development tools: Git, GitHub Copilot, and Jira

Experience working with hardware peripherals such as FPGA and PCIe devices - advantage

Experience with Gen-AI based code generation, optimization and testing - advantage

Significant experience in image processing algorithm implementation - advantage

Expertise in writing and optimizing substantial codebases using CUDA - advantage

Experience deploying deep learning models using TensorRT or ONNX Runtime - advantage

Proficiency in Python - advantage

* Only relevant applications will be answered

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