Mechanical Engineer

3 weeks ago

Luling, Texas, United States X-Bow Systems Full time
Job Description

Job Title: Mechanical Engineer - Computational Focus (Python)
Team: Automation, Data, and Control
Company: X-Bow Systems

As a Mechanical Engineer - Computational Focus on X-Bow's Automation, Data, and Control team, you will collaborate with multi-disciplinary teams to design and implement advanced analytical, statistical, and predictive models. These models will drive innovation in X-Bow's product offerings across multiple sectors, including the Make, Build, and Fly divisions.

Key Responsibilities:

  • Work within a multi-disciplinary team developing a complex fluid/thermal/mechanical/electrical system
  • Develop, test, and debug software for projects in the Make, Build, and Fly sectors.
  • Maintain and enhance existing codebases for analytical, statistical, and predictive models.
  • Analyze performance data from various sources, such as print, test, and flight data, and generate reports.
  • Provide software engineering support for research and development (R&D) projects.
  • Continuously learn and stay up to date on advancements in artificial intelligence (AI), machine learning (ML), and other relevant fields.

Minimum Qualifications:

  • Bachelor's degree in Mechanical Engineering, Physics or a related technical field.
  • Proven experience with data analytics projects, particularly using Python and Jupyter Notebooks.
  • Familiarity with various database systems, including relational (e.g., MySQL, PostgreSQL), non-relational (e.g., MongoDB), graph, and time-series databases.
  • Experience with version control systems, especially GitLab.
  • Experience with compiling and deploying containerized applications (e.g., using Docker, Kubernetes).
  • Ability to communicate with non-technical stakeholders to gather requirements and translate them into technical tasks.

Preferred Qualifications:

  • Master's degree in a relevant field such as Mechanical Engineering or Physics preferred
  • Experience working with Solidworks CAD software
  • Experience working in reliability engineering domains.
  • Expertise in machine learning and advanced analytical techniques.
  • Proficiency in Matlab/Octave.
  • Familiarity with time-frequency analysis techniques.
  • A strong background in physics.

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