דרושים » ייצור ותעשייה » System Engineer (Defense)

As an Integration System Engineer in the Imaging Technologies team, you will own the end‑to‑end integration of a multidisciplinary medical device, from early design through validation and release.

You will lead system-level bring-up, define and execute integration strategies, and ensure robust interaction between mechanics, electronics, optics, and software.

This role emphasizes hands-on integration, performance analysis, and cross-functional alignment to deliver a high-quality, production-ready scanner.


Key Responsibilities

System Integration Ownership
Own system integration across all subsystems (mechanics, electronics, optics, software) and ensure a stable, testable, and scalable product.
Lead system bring-up, integration flows, and configuration management across development stages.
Identify interface gaps, define integration requirements, and drive closure with relevant teams.

Performance & Testing
Design and execute system-level experiments to evaluate performance, stability, and reliability.
Develop tools and automation for data collection, analysis, and debugging.
Define integration and verification test strategies, including acceptance criteria and coverage.

Problem Solving & Debug
Lead root-cause analysis of complex cross-domain issues.(HW/FW/SW/optics interactions).
Drive containment, corrective actions, and long-term fixes.
Ensure issues are resolved with clear documentation and learning capture.

Cross-Functional Leadership
Work closely with R&D disciplines, QA/RA, and manufacturing to align on system behavior and requirements.
Translate system-level needs into actionable specifications and integration plans.
Act as the technical focal point for integration-related decisions and trade-offs.

Process & Methodology
Establish and improve integration processes, methodologies, and best practices.
Introduce new tools, capabilities, and approaches to increase integration efficiency and quality.
Ensure proper documentation of integration flows, configurations, and test results.

Team Leadership & Mentorship
Mentor junior engineers and guide student contributors.
Assign and review tasks with a strong focus on quality, rigor, and engineering discipline.

we are seeking a Hardware Systems Engineering Manager to join an advanced technological environment focused on computing hardware and shelter-based Command & Control (C2) systems. This position serves as the Deputy to the Hardware Department Manager and involves supporting and leading projects in the field of electro-mechanical systems engineering, including technical specification development, system architecture definition, end-to-end project management, team leadership, customer engagement, supplier management, and hands-on technical involvement.
Responsibilities:

* Support the management of multidisciplinary projects throughout the entire project lifecycle.
* Participate in the definition of system architectures and hardware platform design for C2 systems.
* Develop technical specifications and define system requirements.
* Work closely with suppliers and manufacturers, including participation in technical design reviews (PDR, CDR, etc.).
* Support development, testing, and system integration activities.
* Assist in managing interfaces with customers and internal stakeholders.
* Lead and drive technical and operational activities across multiple disciplines.
Why Join Us:
Join our company, the company behind the Iron Dome command and control software, and take part in the development of advanced Command & Control (C2) systems. Work on complex multidisciplinary projects with real operational impact alongside leading engineering professionals.

We are seeking a highly motivated and skilled Radar System Architect to join our team, focusing on automotive imaging radar systems. This role is pivotal in bridging the gap between our cutting-edge radar technology and our automotive customers' evolving needs. As the key technical focal point, you will lead customer engagements, manage system-level requirements, define system architecture in multiple domains and ensure successful integration and performance of our radar solutions in real-world automotive applications.
What will your job look like?
Define high level requirements for cutting-edge, automotive imaging radar
Design System architectures and flows for critical functions, such as power management, safety monitoring and security
Research and architecture for improving Radar KPI's and capabilities
Engage with customers, analyze and understand customer requirements
Work closely with SW, Algo, HW, VLSI and validation teams.

We are looking for a talented Integration Engineer specializing in radar systems algorithms and field performance to join our team. The ideal candidate will have experience working with radar systems, deep knowledge of algorithms, and the ability to analyze and improve radar performance.
What will your job look like?
Lead Radar product integration from requirements, through the development cycle
Define and implement system integration test plans, automation and workflows
Supply Algo features validation feedback from early development stages
Debug and analyze product Performance with Algorithm and system development teams
Deliver accurate and detailed integration reports
Provide technical support to key customers on complex R&D technical issues
Report customer feedback and requests back to support manager, product group, and R&D.

We are looking for a System Integrator to join the company integration division, the position is primarily hands-on involving delivering and supporting large scale projects. Every project is unique and will require learning new technologies and designing new solutions to meet the R&D requirements & deliver a complete solution with Infrastructure & software to the end customer. The integration team is involved throughout the lifecycle of the R&D process from the development stage lab environments to the full-scale deployment in the customer premise and ongoing support & upgrades once the delivery is complete. Support customers (outside the office) Willingness to travel overseas to customers. On call responsibilities.

Why Join Us:
mPrest Systems, a global provider of mission-critical monitoring & control solutions for the defense, security, utility, and Internet of Things (IoT) sectors. Our game-changing technology is already making a difference worldwide. You can also make a difference by joining our company!

Daily duties include reviewing business and technical specifications to write and execute automated and manual test scripts for quality assurance testing.
The candidate will be responsible of defining test strategy, execute test plans, review tests product specifications and participate in defining/selecting appropriate test tools and automation strategy.
This function will work closely with HW Development, Program Management, and Operations team to test and roll out the releases.

Key Responsibilities
You will be required to support a variety of corporate business applications and web based products in a QA environment.
Handle and support dynamic schedule, multiple environments, test cycles and deployments.
Responsible for verification and validation tests plans with the ability to maintain and cross-reference it with risk analysis matrix
Develop and maintain test methods, equipment and instruments for medical device throughout all development and production stages of the product
Performing validation and testing of hardware (mechanical, electronic implantable devices) and SW for prototypes and products.
Leading projects to develop and coordinate testing procedures for prototypes and products
Design, selection and documentation of test equipment (HW).
Formulates test guidelines, Acceptance Tests procedures, protocols, and tests reports.
Responsible for specification, purchasing and maintenance of laboratory test equipment.
Participate and lead engineers in designing features and requirements
Introduce the team to new technologies relevant to their current challenges and to the future challenges of the product.

Which department will you join?
Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence.
Were looking for a Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence.
Were looking for an Experienced Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

Are you a senior AI researcher who thrives at the intersection of cutting-edge computer vision and real-world impact? Do you combine deep research expertise with the engineering instincts to ship models that work in production? Join the Content team within our AI group, where youll lead applied research initiatives that transform how sports content is created and experienced.

This is an applied research role with a strong ownership mandate - youll drive the full research lifecycle from problem framing and experimental design through to production integration.

We are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key moments into engaging experiences for players, teams, and fans. As a Senior AI Research Scientist, you will have direct impact on the companys innovation roadmap, leading core AI capabilities that power our platform at scale.

As part of your role, you will:
Own the research lifecycle end-to-end: problem definition, literature review, experimental design, model development, evaluation, and production integration.
Design, implement, and evaluate state-of-the-art deep learning models for computer vision tasks including detection, tracking, event recognition, and temporal modeling in video.
Drive applied research projects with clear product impact - not just experimentation, but shipping models that run reliably in production.
Collaborate closely with ML engineers, infrastructure engineers, and QA to ensure smooth model integration and performance in real-world conditions.
Contribute to our research culture: present findings internally, propose new research directions, and stay at the forefront of computer vision and deep learning.
Influence architectural decisions around model design, data pipelines, and evaluation frameworks.