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$45.5K

$102.9K

$166.5K

How much do mechanical engineer artificial intelligence jobs pay per year?

As of Aug 9, 2026, the average yearly pay for mechanical engineer artificial intelligence in the United States is $102,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a mechanical engineer specializing in artificial intelligence, and why are they important?

To thrive as a Mechanical Engineer in Artificial Intelligence, a strong background in mechanical engineering principles, mathematics, and computer science—often supported by a relevant degree—is essential. Familiarity with CAD software, machine learning frameworks (such as TensorFlow or PyTorch), and programming languages like Python or MATLAB is typically required. Strong problem-solving abilities, creativity, and effective communication skills help professionals excel in interdisciplinary teams and innovative projects. These combined skills enable the design of intelligent mechanical systems that optimize efficiency and performance in advanced engineering environments.

What is a mechanical engineer in artificial intelligence?

A Mechanical Engineer in Artificial Intelligence applies AI technologies and machine learning algorithms to mechanical engineering problems. They work on integrating AI into the design, development, and maintenance of mechanical systems, such as robotics, smart manufacturing, or predictive maintenance. Their role often involves collaborating with data scientists, software engineers, and other professionals to create intelligent systems that can optimize processes, reduce costs, and improve efficiency. This interdisciplinary field is rapidly growing as AI continues to transform traditional engineering practices.

How do mechanical engineers specializing in artificial intelligence typically collaborate with software engineers and data scientists on projects?

Mechanical Engineers working in Artificial Intelligence often collaborate closely with software engineers and data scientists to integrate AI algorithms into mechanical systems, such as robotics or smart manufacturing equipment. They contribute their expertise in physical systems, prototyping, and hardware-software integration, while software engineers focus on coding and data scientists develop and refine AI models. Regular interdisciplinary meetings and joint problem-solving sessions are common, ensuring that the mechanical, software, and AI components work seamlessly together to achieve project goals.

Can a mechanical engineer work in AI?

A mechanical engineer can work in AI by applying skills in robotics, control systems, and data analysis to develop intelligent machines and automation solutions. Gaining knowledge in programming, machine learning, and AI tools like Python or TensorFlow can enhance their suitability for AI roles. Interdisciplinary expertise and additional training in AI concepts are often beneficial for such transitions.

What is the difference between Mechanical Engineer Artificial Intelligence vs Mechanical Engineer?

AspectMechanical Engineer Artificial IntelligenceMechanical Engineer
Required CredentialsBachelor's in Mechanical Engineering, plus knowledge of AI and programmingBachelor's in Mechanical Engineering
Work EnvironmentDesigning AI-driven systems, software development, research labsDesign, analysis, manufacturing in industrial or R&D settings
Industry UsageAI integration in robotics, automation, smart systemsProduct design, manufacturing, mechanical systems
Common Search IntentMechanical Engineer Artificial Intelligence vs Mechanical EngineerMechanical Engineer roles and responsibilities

Mechanical Engineer Artificial Intelligence combines traditional mechanical engineering skills with expertise in AI and programming, focusing on intelligent systems and automation. In contrast, Mechanical Engineers primarily work on designing and analyzing mechanical systems without necessarily involving AI. Both roles share foundational engineering principles but differ in their focus areas and skill requirements.

More about Mechanical Engineer Artificial Intelligence jobs
What cities are hiring for Mechanical Engineer Artificial Intelligence jobs? Cities with the most Mechanical Engineer Artificial Intelligence job openings:
What states have the most Mechanical Engineer Artificial Intelligence jobs? States with the most job openings for Mechanical Engineer Artificial Intelligence jobs include:
What job categories do people searching Mechanical Engineer Artificial Intelligence jobs look for? The top searched job categories for Mechanical Engineer Artificial Intelligence jobs are:
Mechanical Engineer Artificial Intelligence jobs near you
Infographic showing various Mechanical Engineer Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.

6J7KI5-Software Engineer-Artificial Intelligence 5 - 6J7-Artificial Intelligence

Indotronix International Corporation

Cambridge, MA • On-site

$103 - $129/hr

Contractor

Re-posted 24 days ago

Job description

Indotronix is seeking an Onsite Job - Software Engineer-Artificial Intelligence 5, Cambridge, MA
 
Bachelors with 7+ years must
Shift: First
Start Time: 9:00 AM
End Time: 5:00 PM
Is Clearance Required To Start?: No
 
Job Description
The Client Company is seeking a broad range of experience levels including; Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level DevSecOps Software Engineers who will provide engineering support for a new SW engineering initiative involving AI tools.
This position will be physically located in Cambridge, MA.
Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation, and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality, reliability and identifies patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems. Trains, evaluates and optimizes performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management process for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves in-production Artificial Intelligence models. Partners with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms. Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s).
Technical Lead Engineer (Level 5)
• Oversees the design, development, documentation and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases.
• Oversees a small technical team to accomplish technical milestones, and contributes to the development of advanced AI software capabilities.
• Communicates technical progress, hurdles, proposed solutions, and team updates to Leadership.
• Research or publications in the AI software field are a strong plus, but not required.
• Strong willingness to leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Experience in C, C++, Python, or modern coding languages.
• Familiarity with ADA or avionics software is a plus.
• Strong team player who enjoys collaboration and the fast-paced startup/high-tech culture.
• Excellent documentation and communication skills for effective collaboration with cross-functional teams.
• Leads design, development, documentation and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases.
• Ability to lead and help junior engineers in accomplishing technical engineering activities.
• Familiar with automated testing methodologies and frameworks (e.g., Google Test, PyTest) to ensure rapid and efficient test execution.
• Understanding of CI/CD practices and experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) to automate and optimize workflows a plus.
• Ability to collaborate effectively with HIL teams to integrate software with hardware-in-the-loop testing environments a plus.
Basic Qualifications (Required Skill/Experience):
• Bachelor's degree and typically 3 or more years' experience in a software engineering classification or a Master's degree with 1 year of experience in a software engineering classification.
• Must be able to work onsite in Cambridge, MA
• No relocation offered
Preferred Qualifications (Desired Skills/Experience):
• Education or experience in AI Algorithms and/or use of AI Tools
• Ability to obtain a U.S. Security Clearance if sponsored.
Typical Education/Experience:
Technical Lead Engineer (Level 5)
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 7 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+3 years' related work experience, Master+5 years' related work experience).
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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