CesiumAstro

Senior Systems Engineer II - Digital Mission Modeling and Simulation

Full-time · Austin, TX
✓ Verified live on the employer's own system · added 285 days ago
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Senior

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AerospaceDefenseCadSystems Engineering
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Full job description

In this role, a systems engineer is responsible for utilizing commercial modeling and simulation tools to synthesize conceptual aerospace and defense systems into executable digital models to aid multi-disciplined design teams in quickly and accurately evaluating expected performance against design requirements. This candidate will be expected to build expertise across commercial digital modeling and simulation tools, in particular leveraging Ansys STK (System Tool Kit) software which delivers a physics-based, mission-centric digital design and test environment for analyzing and designing systems across various domains like space, air, sea, and ground missions.

This candidate will be expected to continually expand and build their knowledge and use of this systems modeling and simulation environment while also incorporating external simulation artifacts from other multi-physics modeling and simulation tools commonly utilized by domain-centric design engineering groups such a CFD tools, mechanical CAD solutions, RF systems design and test tools, optics, and many other engineering discipline focus areas.

It will be critically important for this candidate to be able to communicate with colleagues across multi-disciplines and help incorporate their designs, analysis results, and model anticipated system behaviors through a fully integrated digital simulation approach. Familiarity with Model Based Systems Engineering (MBSE) practices is highly desired.

In this role, a systems engineer is responsible for utilizing commercial modeling and simulation tools to synthesize conceptual aerospace and defense systems into executable digital models to aid multi-disciplined design teams in quickly and accurately evaluating expected performance against design requirements. This candidate will be expected to build expertise across commercial digital modeling and simulation tools, in particular leveraging Ansys STK (System Tool Kit) software which delivers a physics-based, mission-centric digital design and test environment for analyzing and designing systems across various domains like space, air, sea, and ground missions.

This candidate will be expected to continually expand and build their knowledge and use of this systems modeling and simulation environment while also incorporating external simulation artifacts from other multi-physics modeling and simulation tools commonly utilized by domain-centric design engineering groups such a CFD tools, mechanical CAD solutions, RF systems design and test tools, optics, and many other engineering discipline focus areas.

It will be critically important for this candidate to be able to communicate with colleagues across multi-disciplines and help incorporate their designs, analysis results, and model anticipated system behaviors through a fully integrated digital simulation approach. Familiarity with Model Based Systems Engineering (MBSE) practices is highly desired.

  • A minimum of 2 years of experience with a bachelor's degree in aerospace engineering, or a related field is required.
  • Demonstrable experience or familiarity with digital systems engineering methodologies.
  • Familiarity with STK and its modules (e.g., Astrogator, SOLIS, TETK) for digital mission engineering is critical.
  • Knowledge of various operating systems, devices, and software applications is expected.
  • Proficiency with common engineering scripting languages (MATLAB, Python, Javascript, and similar).
  • Familiarity (or ability to gain necessary skills) with general engineering design tools commonly used across disciplines such as Fluids, Electronics, Thermal, Optics, and Mechanical tools such as the Ansys tool suites.
  • Experience with Model Based Systems Engineering practices and languages (SysML)
  • Proficiency in functional digital systems engineering and understanding of design, test, review methodologies.
  • Experience with test case design and execution, as well as defect tracking and reporting tools.
  • Strong understanding of product design/test workflows in a commercial production environment
  • Excellent analytical and problem-solving skills to interpret technical data and information, and resolve complex issues.
  • Ability to perform root cause analysis and develop effective solutions.
  • Exceptional written and verbal communication skills are essential for interacting with customers, development teams, and other stakeholders.
  • Strong teamwork and collaboration skills to work effectively with diverse teams.
  • Customer-focused mindset and commitment to customer satisfaction.
  • Organizational skills to manage workload, prioritize tasks, and keep track of documentation and records.
  • Ability to manage simulation and process data management holistically and document configuration changes.
  • Staying updated with the latest advancements in application design and technology.
  • Effectively leverage a digital modeling and simulation ecosystem of tools to support the design, test, validation and verification needs of internal project team leaders.
  • Proactively identify workflow automations to help establish streamlined processes for repeatable modeling and simulation chains for efficient re-use of established our organization's unique mod/sim techniques.
  • Support briefings to design team leaders to demonstrate/share results during design review milestones.
  • Proactively investigate interoperability across existing design tools that our engineering organization leverages, and suggest/lead identified improvements to help establish and build our end-to-end digital engineering toolchains.
  • Working closely with development and engineering design teams to inject digital modeling and simulation tools into their workflows in non-disruptive ways by helping to lead data pipeline integrations, automations, and routines that increase overall efficiency and shorten design lifecycles.
  • Collaborating with software developers, DevOps, and infrastructure teams to ensure application stability and performance.

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