Computer Modeling & Simulation Staff Specialist/Engineer

General Dynamics Land Systems–Canada; London; On-site; CAD 90,000 - 120,000; Full time

Job summary

General Dynamics Land Systems–Canada is seeking a Staff Specialist/Engineer to lead advanced CAE analyses for military vehicles and subsystems. You will perform fluid flow, buoyancy, structural and fatigue analyses using leading software and validate simulations against test data.

You will research new CAE methods, collaborate with design teams, and support development with timely simulation results and technical reports.

Qualifications

• University degree in Engineering.
• 5+ years of CAE experience in automotive, defense or aerospace.
• Knowledge of CAE software applications for FEA, CFD and fatigue analyses.
• Knowledge of automotive subsystems.
• Strong written and oral communication skills.
• Ability to travel (10% Canada, 5% US & International) and obtain a valid passport.
• Self-motivated and team-oriented.

Responsibilities

• Perform fluid flow analyses using ANSYS FLUENT.
• Perform buoyancy analyses using Rhino/Orca.
• Perform structural analyses using NX NASTRAN and/or Altair FEA tools.
• Perform fatigue analyses using Glyphworks/NCode.
• Research new CAE areas, products and methodologies and implement them in GDLS-C procedures.
• Perform test data analyses and simulation validations.
• Work in small project teams with other engineers and provide CAE support.
• Build and maintain relationships with internal and external customers.

Skills

CAE proficiency

Team collaboration

Travel ability

Education

Engineering degree

Advanced degree (MS/PhD)

Tools

ANSYS FLUENT

Rhino/Orca

NX NASTRAN

Altair FEA

Glyphworks

NCode

ADAMS

MATLAB

Job description

Staff Specialist/Engineer P55

• Perform fluid flow analyses using ANSYS FLUENT
• Perform buoyancy analyses using Rhino/Orca
• Perform structural analyses using NX NASTRAN and/or Altair suite of FEA tools
• Perform fatigue analyses using Glyphworks/NCode
• Research new CAE areas, products and methodologies and implement them in GDLS-C common procedures
• Perform test data analyses and simulation validations
• Work in small temporary project teams with other engineers and provide an ongoing CAE support
• Build and maintain positive working relationships with internal and external customers

Description

Computer Modeling & Simulation

Staff Specialist/Engineer P55

Job Description

• Perform fluid flow analyses using ANSYS FLUENT
• Perform buoyancy analyses using Rhino/Orca
• Perform structural analyses using NX NASTRAN and/or Altair suite of FEA tools
• Perform fatigue analyses using Glyphworks/NCode
• Research new CAE areas, products and methodologies and implement them in GDLS-C common procedures
• Perform test data analyses and simulation validations
• Work in small temporary project teams with other engineers and provide an ongoing CAE support
• Build and maintain positive working relationships with internal and external customers

Key Job Elements

• Perform advanced computer simulations of military vehicles and subsystems
• Conduct research of new simulation techniques applicable to GDLS-C products
• Perform vehicle mobility studies
• Perform vehicle dynamics simulations
• Perform structural analysis
• Conduct material fatigue simulations
• Create advanced controls system models to evaluate various controls algorithms and strategies for automotive systems
• Interact with design teams and provide efficient and timely simulation support to product development, drive design solutions based on simulation results
• Develop in-house software to solve dynamic problems using high level programming languages
• Write technical reports
• Provide support for R&D validation testing (i.e. prepare test plan/report, perform data reduction/analysis)
• Provide technical support and guidance, within field of expertise, to Design Engineers during design development, e.g. advising on structural design
• Support new product development with simulations and analyses

Required Qualifications

• University degree in Engineering
• 5+ years of related experience in CAE field, preferably in automotive, defense or aerospace industry
• Knowledge of CAE software applications for FEA, CFD and fatigue analyses
• Knowledge of automotive subsystems
• Knowledge of stress analyses, mechanics, dynamics and mathematics
• Demonstrated written and oral communication skills
• Superior organizational skills with the ability to be agile, set priorities and multi-task under pressure
• Self-motivated and effective working in a team-oriented environment
• Ability to travel (10% Canadian, 5% US & International) and possess/be able to acquire and maintain a valid passport

Preferred Qualifications

• Advanced University degree
• Familiar with NX NASTRAN, Altair suite of FEA tools, ADAMS, MATLAB
• Experience with heavy off road vehicles engineering
• Experience dealing with defense design standards
• Professional Engineer (PEO) or eligible to become P.Eng.

Working Conditions

The conditions in which an individual or staff works, including but not limited to such things as amenities, physical environment, stress and noise levels, degree of safety or danger, temperature, location.

• Physical Environment: Office
• Hazards: NA

Physical Demands Description

This section objectively captures and describes the physical demands that are required to perform a particular job or role. Usually completed by the ergonomist

Usual mobility demands required are standing, walking, sitting, and stair climbing to access upper offices.

Equipment Utilized

This section describes the type of equipment an employee is required to use:

• Computer
• Phone
• Mobile device

Medical Surveillance

May include: Anthropometrical Size Restrictions depending on task

Personal Protective Equipment

Applicable when interacting with shop floor (safety shoes, safety glasses, hearing protection. extraction coveralls)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.