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Machine Learning Abaqus Jobs (NOW HIRING)

Senior NVH & Durability Analyst

Livonia, MI

$84K - $116K/yr

... ABAQUS, and ANSYS Mechanical). Conduct CAE analysis independently using CAE tools. * Support ... AI (Artificial Intelligence) and Machining Learning skills. Click here to view all current Roush ...

... machine learning, and digital twins. • Experience in multiple CAE tools including ANSYS, Abaqus, MATLAB Simulink, or similar software applications is a plus. Skills: Position Criteria • Forward ...

Experience with machine learning and surrogate modelling frameworks (e.g. scikit-learn, TensorFlow ... Finite element analysis (ANSYS, Abaqus) * Process modelling: gPROMS, Witness, Aspen * Discrete ...

... machine learning to optimally engineer, additively manufacture, and flexibly assemble complex ... ABAQUS and/or LS-Dyna. * New Grads of Fall 2025/Spring 2026 with strong foundation in Mechanical ...

Proven ability to perform automotive structure durability analysis using ABAQUS and nCode. Ability ... Knowledge of work flow development using AI/ Machine Learning to accelerate durability CAE cycles ...

Sr. CAE Engineer - Durability

Irvine, CA · On-site

$107K - $134K/yr

Proven ability to perform automotive structure durability analysis using ABAQUS and nCode. Ability ... Knowledge of work flow development using AI/ Machine Learning to accelerate durability CAE cycles ...

Knowledge of work flow development using AI/ Machine Learning to accelerate durability CAE cycles ... Proven ability to perform automotive structure durability analysis using ABAQUS and nCode. Ability ...

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Machine Learning Abaqus information

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$31.5K

$128.8K

$193.5K

How much do machine learning abaqus jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning abaqus in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Abaqus vs Data Analyst?

AspectMachine Learning AbaqusData Analyst
Required CredentialsAdvanced degrees in engineering, computer science, or related fields; knowledge of Abaqus software and machine learningBachelor's or master's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering firms, simulation labs, research institutionsBusiness, finance, healthcare, and marketing sectors
Industry UsageFinite element analysis combined with machine learning for predictive modelingData collection, cleaning, visualization, and reporting

Machine Learning Abaqus professionals focus on integrating machine learning techniques with Abaqus simulation software to enhance predictive modeling in engineering contexts. Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, Machine Learning Abaqus specialists combine engineering simulation expertise with machine learning, whereas Data Analysts focus on data management and reporting across various industries.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in Abaqus, and why are they important?

To excel in this role, you need a solid background in machine learning, numerical methods, and finite element analysis, with experience in using Abaqus and programming languages like Python. Familiarity with simulation software integrations, data analysis tools, and potentially certifications in computational engineering are highly valuable. Strong problem-solving abilities, critical thinking, and effective communication help in collaborating with interdisciplinary teams and interpreting complex simulation results. These skills ensure accurate modeling, optimization, and innovation in engineering solutions leveraging both machine learning and simulation technologies.

How does a Machine Learning Abaqus specialist typically collaborate with engineering and data science teams on simulation projects?

A Machine Learning Abaqus specialist often works closely with both engineering and data science teams to enhance simulation accuracy and efficiency. They bridge the gap between traditional finite element analysis and advanced predictive modeling by integrating machine learning techniques with Abaqus simulations. This collaboration usually involves sharing simulation data, defining modeling requirements, and jointly developing custom algorithms or scripts to automate repetitive tasks. Regular communication ensures that engineering insights are effectively incorporated into machine learning solutions, while data scientists help optimize models for better predictive performance.

What is a Machine Learning Abaqus specialist?

A Machine Learning Abaqus specialist integrates machine learning techniques with Abaqus, a powerful finite element analysis (FEA) software, to enhance simulation accuracy, automate modeling tasks, and optimize engineering processes. By leveraging data-driven models, they help predict material behavior, improve design workflows, and reduce computational costs. These professionals typically have expertise in both advanced machine learning algorithms and the mechanics of simulation using Abaqus. Their work is valuable in industries like automotive, aerospace, and civil engineering, where accurate simulations and efficient design cycles are critical.
Senior NVH & Durability Analyst

Senior NVH & Durability Analyst

Roush

Livonia, MI

$84K - $116K/yr

Full-time

Posted 14 days ago


Roush rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

188th of 417 rated machine equipment manufacturers


Job description

At Roush, we fuse technology and engineering to provide product development solutions to customers in a diverse range of industries. Widely recognized for providing engineering, testing, prototype, and manufacturing services to the transportation industry, Roush also provides significant support to the aerospace, defense and theme park industries.  With over 2,400 employees in facilities throughout the United States, Europe, Asia, and South America, our unique combination of creativity and tenacity activates big ideas on a global stage.
Step into a role where your expertise drives real-world innovation. Roush is seeking a Senior NVH & Durability Analyst to join our dynamic CAE team in Livonia, MI, tackling complex challenges across vehicles, aerospace, and amusement ride structures. In this role, you’ll leverage advanced FEA and CAE tools to deliver impactful solutions—building models, leading independent analyses, and turning data into clear engineering insights that shape smarter, stronger designs. Collaborate directly with customers, influence cutting-edge projects, and see your work come to life. 
👉 Click here to meet our CAE Manager and get a behind-the-scenes look at what we do. 
Responsibilities:

  • Build FEA models for various applications in the automotive, aerospace, and industrial segments using commercial software (MSC-NASTRAN, ABAQUS, and ANSYS Mechanical). Conduct CAE analysis independently using CAE tools.
  • Support analysis with sound engineering explanation and hand calculations.
  • Review results with lead engineer or supervisor and share with the customer.
  • Recommend alternative analysis approaches and design solutions to meet the functional targets.
  • Interface with customer to complete tasks with a high level of quality while meeting timelines.
  • Contribute to existing and develop new analyses capability as part of continuous improvement.
  • Maintain pertinent information in assigned location and perform data cleanup.
  • Interact confidently and professionally with stakeholders at all levels.
  • Learn different computer-aided engineering software packages quickly.
Minimum Requirements:
  • Bachelor of Science in Mechanical Engineering.
  • Minimum 5 years of CAE (Computer-Aided Engineering) experience.
  • Experience in modal, point mobility, and acoustic analysis.
  • Experience in strength, stiffness and stress (including thermal) in linear and nonlinear (material and contact) domains.
  • Experience in size, shape, and other optimization analysis using optimization tools.
  • Strong fundamental knowledge in strength of materials and failure theory for metals and composites and vibration concepts.
  • Strong aptitude in modeling and simulation with ability to solve engineering problems.
  • Good understanding of kinematics, static, and dynamics.
  • Advanced software skills in finite element pre-processors, solvers, and post-processors (Altair Hyperworks, ANSA & META, NASTRAN, ABAQUS, OPTISTRUCT, ANSYS, nCode) and Finite Element Method Fatigue (FEMFAT).
  • Good verbal and written communication skills.
Preferred Requirements:
  • Master of Science in Mechanical Engineering specializing in structural dynamics and mechanics, Finite Element Analysis (FEA), or fatigue theory, noise and vibration, and 3 years of Computer-Aided Engineering (CAE) experience.
  • U.S. Citizen or U.S. Permanent Resident allowing for International Traffic in Arms Regulations (ITAR) compliance.
  • Experience in advanced simulation tools such as Simcenter  Amesim, and application in autonomous and electric vehicles.
  • Experience with full vehicle ‘CAE to Test’ correlation.
  • Experience with performance optimization and trade-off evaluations for multi-body systems. 
  • Experience with suspension and powertrain integration into vehicles using CAE techniques.
  • AI (Artificial Intelligence) and Machining Learning skills.

Click here to view all current Roush openings: https://jobs.roush.com/us/en
Our Full-Time benefits include medical, dental, vision, life insurance, earned sick time, STD, LTD, 401K, tuition reimbursement, employee referral bonus program, paid vacation, and paid holidays.
Visit our website:  www.roush.com
Like us on Facebook: www.facebook.com/RoushCareers
Roush is an EO employer – Veterans/Disabled and other protected categories.
If you need a reasonable accommodation for our employment application process due to disability, please contact Roush Talent Acquisition at 734-779-7087.

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Company Description

At Roush, we fuse technology and engineering to provide product development solutions to customers in a diverse range of industries. Widely recognized for providing engineering, testing, prototype, and manufacturing services to the transportation industry, Roush also provides significant support to the aerospace, defense and theme park industries. With over 4,000 employees in facilities throughout the United States, Europe, Asia, and South America, our unique combination of creativity and tenacity activates big ideas on a global stage. We want motivated, ambitious people who put the needs of our customers first, bring creativity to their work and will do whatever it takes to achieve success. If you share our passion for providing innovative solutions to complex challenges, we want you on our team.

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