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Model Based Developer Engineer Jobs (On-site work)

383 Job Offers

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Data Scientist/Systems Engineer Internship
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Costa Rica , Heredia
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Hewlett Packard Enterprise
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Data & AI Engineer
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United States , Cambridge
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58.00 - 79.00 USD / Hour
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Amaris Consulting
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Senior Image Processing Engineer
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Poland , Warsaw
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ICEYE
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Product Manager – Integrated Distribution & Video Platforms
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United States , Los Angeles
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70.00 USD / Hour
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Beacon Hill
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Senior QA Engineer – AI Platform Testing
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United Arab Emirates , Abu Dhabi
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NorthBay
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Senior QA Engineer – AI Platform Testing
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United Arab Emirates , Abu Dhabi
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NorthBay
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Senior QA Engineer – AI Platform Testing
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United Arab Emirates , Abu Dhabi
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NorthBay
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Senior QA Engineer – AI Platform Testing
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United Arab Emirates , Abu Dhabi
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NorthBay
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Advanced Engineer, Materials Science
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United States , Austin
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Hyliion
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Director of Fire Consultancy
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United Kingdom , Glasgow; Edinburgh; London
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Egis in the UK
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Key Account Manager
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United States , Lewis Center
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ATS Automation Tooling Systems Inc.
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Security Engineer - Wiz Product
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Israel , Tel Aviv
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Wiz
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Database Engineer
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United States , Indianapolis
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Quantumlytix
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Strategic Data Partnerships Lead
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United States , New York
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197760.00 - 280000.00 USD / Year
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Plaid
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Cloud Engineer IV
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United States , Washington, DC
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140000.00 - 155000.00 USD / Year
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Chickasaw Nation Industries, Inc (CNI)
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Software Engineer I
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United States , Fort Meade
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Aquila Technology
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Data Center QA Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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Data Center QA Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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Cloud QA Developer
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United States , San Jose
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90400.00 - 208500.00 USD / Year
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Hewlett Packard Enterprise
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Sr. QA Analyst
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India , Pune
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Citi
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Embark on a cutting-edge career path by exploring Model Based Developer Engineer jobs. This highly specialized profession sits at the intersection of software engineering, systems design, and mathematical modeling, revolutionizing how complex systems are conceived, designed, and validated. Instead of relying solely on traditional text-based code, professionals in this field use visual models as the primary artifact throughout the development lifecycle. These models, which are executable simulations, form the central nervous system of the project, enabling engineers to design, test, and verify system behavior long before physical prototypes are built. A Model Based Developer Engineer is fundamentally responsible for creating, modifying, and analyzing these dynamic models to design and validate embedded systems and software. Their typical day involves using sophisticated tools like MATLAB and Simulink to build graphical representations of system logic, control laws, and physical dynamics. They run simulations to interpret results, ensuring the model's correctness and performance under various conditions. A core part of their role is to perform functional and logical decomposition of complex systems, breaking down high-level requirements into detailed, model-based specifications. They are also instrumental in the industry-wide shift from document-based to model-based architectures, which enhances clarity, reduces errors, and improves collaboration. Common responsibilities for these engineers extend beyond pure modeling. They are tasked with developing and managing system requirements within dedicated management tools, ensuring traceability from the initial requirement to the final implemented model element. They create and execute associated tests directly from the models to validate functionality and identify issues early. Furthermore, they often provide technical guidance to team members, review the design work of peers for accuracy and completeness, and drive projects forward through leadership and collaboration. Effective communication with project teams and leadership is crucial to facilitate quick issue resolution and maintain project alignment. To succeed in Model Based Developer Engineer jobs, a specific skill set is required. Proficiency in Model-Based Design (MBD) using MATLAB, Simulink, and Stateflow is paramount. Strong scripting skills, often using MATLAB or Python, are needed for automating tasks and data analysis. A solid understanding of control theory, signal processing, and dynamic system behavior is essential. Given the critical nature of the systems they often work on—such as in aerospace, automotive, and medical devices—familiarity with industry-specific regulatory compliance standards like DO-178C for avionics or ISO 26262 for automotive is highly valuable. Typically, employers seek candidates with a bachelor's or master's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field. Strong analytical prowess, problem-solving capabilities, and the ability to work both independently and as part of a team are key personal attributes for thriving in this innovative and demanding profession.

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