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Contract Matlab Simulink Jobs in Georgia (NOW HIRING)

Contract Matlab Simulink information

What is a contract Matlab Simulink job?

Contract Matlab Simulink jobs involve temporary or project-based work where professionals use MATLAB and Simulink software to design, simulate, and analyze dynamic systems, usually in engineering fields like automotive, aerospace, or robotics. Contractors may be responsible for developing models, creating simulations, or automating processes to support product development and testing. These roles typically require strong programming skills, familiarity with control systems, and experience in model-based design. Contract positions offer flexibility and can range from a few weeks to several months, depending on project needs.

What are the key skills and qualifications needed to thrive as a contract Matlab Simulink engineer?

To thrive as a Contract Matlab Simulink Engineer, you need a strong background in control systems, modeling, and simulation, typically supported by a degree in engineering or a related field. Expertise in Matlab, Simulink, and related toolboxes, as well as familiarity with code generation and version control systems, is essential. Strong problem-solving, communication, and adaptability are crucial soft skills for interpreting requirements and collaborating with multidisciplinary teams. These skills ensure the delivery of accurate models and efficient solutions for complex engineering projects under tight deadlines.

What are some common challenges faced by contract Matlab Simulink engineers, and how can they be addressed to ensure project success?

Contract Matlab Simulink Engineers often face challenges such as integrating models with existing systems, managing tight project deadlines, and ensuring model accuracy for real-time applications. To overcome these, effective communication with cross-functional teams and stakeholders is crucial, as is maintaining thorough documentation of modeling decisions and simulation results. Staying updated with the latest Simulink toolboxes and best practices can also help in resolving technical issues swiftly, ensuring high-quality deliverables within contractual timelines.

What is the difference between Contract Matlab Simulink vs Contract Electrical Engineer?

AspectContract Matlab SimulinkContract Electrical Engineer
Required SkillsMatlab, Simulink, control systems, modelingElectrical design, circuit analysis, power systems
Work EnvironmentSoftware development, simulation, modeling projectsHardware design, testing, system integration
Industry UsageAutomotive, aerospace, robotics, researchPower generation, manufacturing, telecommunications

Contract Matlab Simulink roles focus on modeling and simulation using Matlab and Simulink tools, often in software or research settings. Contract Electrical Engineer positions involve designing and testing electrical systems and hardware. While both roles may require similar engineering credentials, their work environments and industry applications differ significantly.

What jobs use MATLAB Simulink?

Jobs that use MATLAB Simulink include roles in control systems engineering, automotive and aerospace design, robotics, and embedded systems development. These positions often require skills in modeling, simulation, and programming, and are common in industries focused on system design, testing, and validation.

What are the most commonly searched types of Matlab Simulink jobs in Georgia?

The most popular types of Matlab Simulink jobs in Georgia are:

What cities in Georgia are hiring for Contract Matlab Simulink jobs?

Cities in Georgia with the most Contract Matlab Simulink job openings:

Model Based Systems Engineer - Hybrid - Atlanta GA

Synersys Technologies

Atlanta, GA • On-site

Other

Posted 11 days ago


Job description

Model Based Systems Engineer
Location: Hybrid, but must be local to Atlanta GA
Duration: Contract to Perm
Work Authorization: s
5years experience required.
Model-Based System Engineering (MBSE) and SysML Architecture:

● Extensive experience in the design and development of ADAS Platform and Feature Architectures using Model-Based Systems Engineering (MBSE) with SysML / UML concepts in MagicDraw/ IBM Rapsody.
● Verified and validated ADAS architecture elements using validation suites aligned with SysML guidelines.
● Collaborated closely with the Feature Architecture Team to ensure compliance with overall system architecture guidelines.
● Supported continuous integration frameworks and the auto-generation of feature and functional reports.
● Defined boundary diagrams for ADAS features (Traffic Sign Recognition, Adaptive Cruise Assist, Automatic Emergency Braking) across Concept, Logical, and Technology levels.
● Developed Failure Modes and Effects Analysis (FMEA) concepts to support system reliability and safety engineering.
Requirements Engineering:
● Performed requirement capture, analysis, and refinement in JAMA, ensuring clear, testable, and traceable specifications across system and subsystem levels.
● Established end-to-end traceability from stakeholder requirements to design models, test cases, and verification activities.
● Integrated JAMA with JIRA for issue tracking, change requests, and impact analysis, improving collaboration with cross-functional teams.
● Created and maintained requirement baselines at project milestones (SRR, PDR, CDR) to support compliance and audits.
● Defined and linked verification and validation test cases in JAMA to ensure full requirement coverage.
● Generated traceability and compliance reports to demonstrate alignment with ISO 26262 and ASPICE standards.
Model-Based Design (MBD) and Simulation:
● Expertise in modeling and simulation of automotive and power electronics systems using MATLAB/Simulink & Stateflow.
● Developed application-level Simulink models adhering to MBD rules and performed auto-code generation using TargetLink and Embedded Coder.
● Created User Defined Library Blocks based on functional models and specifications per MBD guidelines.
● Proficient in Simulink and Simscape Multibody for physical modeling, including mechanical system representation and joint assembly definition.
Simulation Environments Software Testing & Validation:
● Conducted MIL (Model-in-Loop), SIL (Software-in-Loop), and Back-to-Back Testing.
● Performed both Black Box and White Box Testing, including model/code coverage analysis.
● Validated library blocks across various test vectors and data types to ensure robustness and performance.

Qualifications:
•    Bachelor’s Degree in Computer Science, Computer Engineering, or a related field.

•    10+ years of previous technical experience in a technical delivery role