1

Machine Learning Abaqus Jobs (NOW HIRING)

CAE Engineering Intern - Summer 2026

Livonia, MI ยท On-site

$15.75 - $20.25/hr

Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS) * Mechanical project team experience (Formula SAE / Baja ...

CAE Engineering Intern - Summer 2026

Livonia, MI ยท On-site

$15.75 - $20.25/hr

Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS) * Mechanical project team experience (Formula SAE / Baja ...

Package Reliability Engineer

Santa Clara, CA ยท On-site

$185K - $225K/yr

Proficiency in stress modeling tools (ANSYS, Abaqus, COMSOL, etc.) for thermo-mechanical analysis ... Expertise in AI-driven reliability modeling or machine learning for failure prediction. California ...

... Machine Learning (ML) tools, identifying optimal integration strategies within the FEA workflow ... Experience with Abaqus, ANSA, and META. Experience with system-level modeling and simulation. Self ...

Package Reliability Engineer

Santa Clara, CA

$120K - $151K/yr

Proficiency in stress modeling tools (ANSYS, Abaqus, COMSOL, etc.) for thermo-mechanical analysis ... Expertise in AI-driven reliability modeling or machine learning for failure prediction.

Senior NVH & Durability Analyst

Livonia, MI ยท On-site

$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 ...

Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS) * Mechanical project team experience (Formula SAE / Baja ...

Senior NVH & Durability Analyst

Livonia, MI ยท On-site

$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 ...

next page

Showing results 1-20

Machine Learning Abaqus information

See salary details

$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.

Research and Development: Sensor Developer

Rosenxt

San Luis Obispo, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Rosenxt is a forward-thinking technology group - we are visionary architects of progress with 45 years of engineering excellence.
As a privately owned global partner, we look far beyond tomorrow, are committed to the long-term and thus turning opportunities into successful ventures. We are tech enthusiasts through and through, diving deep into the latest technologies. This expertise in various technology fields, such as sensors, autonomous robotic, AI or advanced materials and our strong R&D mindset allows us to develop highly innovative products and services for customer in most challenging environments such as subsea, industrial, renewables, or the integrity of water and energy supply. Our purpose goes beyond pure business; it's about creating progress and sustainable value - for our customers, our partners, and society at large.
Why work for Rosenxt?
The US team of Rosenxt is an extended team of people with a passion for technology and innovation. Our ongoing organic growth results in career opportunities and gives our employees chances for further development and added experience. We are a tight-knit group of interdisciplinary engineers, working closely together with state-of-the-art technologies and top-notch engineers around the world. We strive to create a supportive and rewarding environment so everyone can excel.
Our San Luis Obispo, California team primary focuses on developing both software and hardware for prototype sensors used in non-destructive testing. This involves programming near hardware-software interfaces, developing or modifying embedded device drivers on Linux and other embedded kernels, implementing signal processing algorithms, implementing hardware abstraction layers, interfacing with FPGAs, and targeting resource-constrained processors. Our Columbus, Ohio Software and Data Science team works with large data, developing machine learning models to deliver high quality solutions to our partners.
Rosenxt USA seeks to add a:
Research and Development: Sensor Developer
Location:
San Luis Obispo
Responsibilities:
  • Design and implement sensor prototypes for non-destructive testing applications using acoustic, ultrasonic, and other measurement technologies, including the development of associated signal processing algorithms.
  • Implement and automate data acquisition, processing and analysis (e.g., using Python scripts)
  • Evaluate sensor performance in laboratory and field conditions to enable early customer feedback
  • Contribute to project initiation by defining requirements, architecture, and effort estimates
  • Deliver technical documentation, support, and presentations for internal and external stakeholders
  • Collaborate with mechanical, electrical and software engineers to integrate sensor solutions into larger systems
  • Work closely with global teams to improve products and system capabilities
  • Support intellectual property activities as well as innovation and know-how tracking
  • Perform mechanical and electrical troubleshooting when needed

Requirements:
  • Strong foundation in applied mathematics, including linear algebra, numerical methods and optimization, paired with basic physics knowledge of associated sensor technologies
  • Proficiency in Python for solving engineering and data analysis tasks
  • Familiarity with computer vision and machine learning methods in industrial applications
  • Practical experience in image data acquisition, preprocessing, and cleaning
  • Knowledge of development and product-related standards and their practical implementation
  • Basic understanding of professional software development processes and tools
  • Experience with CAD software (e.g., SolidWorks, Fusion 360)
  • Experience with simulation tools (e.g., COMSOL, Abaqus)
  • Hands-on laboratory experience with instruments such as oscilloscopes and multimeters

Desirable Skills:
  • Rapid prototyping and design for 3D printing
  • Development of web applications and user interfaces for prototype and laboratory use
  • Deployment of applications to cloud platforms (e.g., Azure)
  • Electronics prototyping, including protoboard assembly and basic circuit design
  • Embedded software prototyping in C/C++, Arduino, ESP32, and FreeRTOS
  • Experience with embedded Linux environments
  • Research skills

Education/Experience:
  • University degree in physics, electrical or mechanical engineering, or similar fields
  • 1-3 years relevant work experience in industry or internship
  • Problem solving skills
  • Self-motivation, and attention to detail
  • Strong written and verbal communication skills
  • Familiarity with various physical and electrical concepts: kinematics, wave mechanics, electromagnetism
  • Familiarity with finite element analysis or other numerical methods
  • Experience with scripting languages such as Matlab or Python

Our Offer:
Rosenxt offers an exceptional working environment, salary commensurate with experience and incredible benefits package.
Benefits include:
  • 401(k) matching up to 5%, immediately vested
  • Generous health benefits, effective immediately
  • Medical (PPO, HSA), Dental, Vision, Flexible Spending Accounts
  • Flexible work schedule (Friday half-days off)
  • Incredible work-life balance and flexibility
  • Immediate Vacation time available, Holidays, Paid Time Off
  • Travel to Europe to work with Rosenxt colleagues
  • Employee assistance program
  • Life insurance
  • Parental leave
  • Professional development assistance
  • Referral program
  • Relocation assistance
  • Tuition reimbursement