Systems Modeling and Analysis Engineer (CA) at LTA Research

Sunnyvale, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AerospaceIndustries

Requirements

Bachelor's degree in a STEM field (e.g., Systems Engineering, Computer Science, Electrical Engineering, Mathematics, Physics)
5 years of experience in Modeling & Analysis
Proficiency in programming languages such as C++, Python, or MATLAB
Experience with MBSE methodologies and tools (e.g., Cameo/MagicDraw, SysML)
Demonstrated experience with data analytics and related tools/techniques
Experience in developing and analyzing complex system models and simulations
Strong understanding of systems engineering principles and methodologies
Excellent communication, interpersonal, and problem-solving skills
Ability to work both independently and collaboratively within a team environment
Preferred Qualifications
Background in machine learning, artificial intelligence, or data science
Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker)
Experience with version control tools such as Git or similar
Familiarity with Agile development methodologies
Experience working with large datasets and related tools (e.g., databases, visualization tools like Tableau or Power BI)

Responsibilities

Develop and Analyze Modeling Frameworks: Design, develop, and maintain modeling and synthesis frameworks incorporating scenarios and critical mission threads based on customer needs
Apply Model-Based Systems Engineering (MBSE): Apply MBSE methods with tools like Cameo/MagicDraw to support system development activities, including requirements analysis, system design, and interface definition
Utilize modeling methodologies to enable the evaluation and optimization of design parameters and Figures of Merit during the system synthesis of complex aerospace systems
Conduct Data Analytics and Optimization: Design and develop data-driven models and analytics applications using tools like Python, MATLAB, Mathcad and Simulink
Apply advanced analytical techniques, including statistical analysis, data mining, machine learning, and potentially deep learning, to extract insights from large datasets
Analyze complex datasets to identify trends, anomalies, and key performance indicators, enhancing model accuracy and providing actionable insights
Develop and implement algorithms that leverage analytical findings to optimize operational efficiencies
Perform operational and mission effectiveness analysis
Utilize data analytics for system performance monitoring, anomaly detection, and optimization
Collaborate with cross-functional teams, including government stakeholders, software developers, and domain experts
Communicate technical information effectively to both technical and non-technical audiences through reports and briefings
Translate user needs into technical system requirements and support concept development, trade studies, and subsystem reviews
Documentation and Configuration Management: Develop and maintain model artifacts, supporting documentation, and ensuring requirements traceability within MBSE models
Proactively identify opportunities to improve processes and solutions and contribute to the evolution of advanced technology solutions

Skills

Key technologies and capabilities for this role

PythonMATLABSimulinkMathcadCameoMagicDrawMBSEMachine LearningData MiningStatistical AnalysisDeep Learning

Questions & Answers

Common questions about this position

What qualifications and experience are required for this role?

A Bachelor's degree in a STEM field such as Systems Engineering, Computer Science, Electrical Engineering, Mathematics, or Physics is required, along with 5 years of experience in Modeling & Analysis. Candidates need proficiency in programming languages like C++, Python, or MATLAB, experience with MBSE methodologies and tools like Cameo/MagicDraw and SysML, and demonstrated experience with data analytics.

What programming languages and tools are needed for this position?

Proficiency in C++, Python, or MATLAB is required, along with experience in MBSE tools like Cameo/MagicDraw and SysML. Additional tools mentioned include MATLAB, Mathcad, and Simulink for data analytics and modeling.

Is this a remote position, or is it based in a specific location?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Systems Modeling and Analysis Engineer position?

A strong candidate will have a STEM Bachelor's degree, 5+ years in modeling and analysis, proficiency in C++/Python/MATLAB, MBSE tool experience, and data analytics skills, with the motivation to handle complex aerospace systems and collaborate across teams.

LTA Research

Develops sustainable airships for humanitarian aid

About LTA Research

LTA Research specializes in manufacturing airships, focusing on creating modern designs that are efficient and environmentally friendly. Their flagship product, the Pathfinder 1, is designed to support humanitarian aid, cargo transport, and surveillance while significantly reducing the carbon footprint associated with traditional aviation. Unlike conventional aircraft, LTA Research's airships utilize advanced engineering to offer a sustainable alternative for air transport. The company primarily serves clients in the humanitarian sector, government agencies, and commercial enterprises, setting itself apart from competitors by emphasizing sustainability and versatility in its air transport solutions. The goal of LTA Research is to revitalize the airship industry and contribute positively to humanitarian efforts while minimizing environmental impact.

Mountain View, CaliforniaHeadquarters

1929Year Founded

VENTURE_UNKNOWNCompany Stage

Social Impact, AerospaceIndustries

51-200Employees