Systems Modeling and Analysis Engineer (CA) at LTA Research

Sunnyvale, California, United States

LTA Research Logo
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

Python
MATLAB
Simulink
Mathcad
Cameo
MagicDraw
MBSE
Machine Learning
Data Mining
Statistical Analysis
Deep Learning

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

Benefits

Relocation Assistance
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Parental Leave
Unlimited Paid Time Off
Paid Holidays
401(k) Company Match
Monthly wellness stipend
Monthly cell phone stipend
Yearly education stipend
Mental Health Support
Company Social Events

Risks

Competition from hybrid airship manufacturers like Lockheed Martin's LMH-1 is increasing.
Rising helium costs impact operational expenses for LTA's airships.
Public skepticism about airship safety could hinder market adoption.

Differentiation

LTA Research focuses on sustainable aviation with next-generation airships like Pathfinder 1.
The company leverages historical expertise from Akron, Ohio, in airship manufacturing.
LTA Research targets humanitarian aid, offering airships for disaster relief and remote access.

Upsides

Growing interest in sustainable aviation boosts demand for LTA's eco-friendly airships.
Advancements in materials and solar power enhance airship efficiency and range.
EU investment in green aviation technologies supports airship development.

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