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Python Mechanical Engineer Jobs in Warren, MI (NOW HIRING)

Ford Motor Company

Software Engineer

Redford, MI

Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js ... Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and ...

KODE Labs

Senior Integrations Engineer

Detroit, MI · On-site

$103K - $142K/yr

Review and interpret technical documentation, such as mechanical drawings and sequences of ... Python or similar) to design scalable solutions. * Soft Skills: Exceptional problem-solving ...

Rivian

Sr. CAE Engineer

Plymouth, MI

$125K - $157K/yr

Deep understanding of mechanics of materials, statics, dynamics, fatigue and sealing. * CAD ... Expertise in scripting/coding and automation with Python / C+ * Passion for problem solving with ...

Rivian

Sr. CAE Engineer

Plymouth, MI · On-site

$125K - $157K/yr

Deep understanding of mechanics of materials, statics, dynamics, fatigue and sealing. * CAD ... Expertise in scripting/coding and automation with Python / C+ * Passion for problem solving with ...

Rivian

Sr. CAE Engineer

Plymouth, MI

$125K - $157K/yr

Deep understanding of mechanics of materials, statics, dynamics, fatigue and sealing. * CAD ... Expertise in scripting/coding and automation with Python / C+ * Passion for problem solving with ...

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All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Warren, MI

Python Mechanical Engineer information

See Warren, MI salary details

$21.6K

$131.5K

$190.2K

How much do python mechanical engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for python mechanical engineer in Warren, MI is $131,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $154,500.00 per year, depending on experience, location, and employer.

What is the difference between Python Mechanical Engineer vs Mechanical Design Engineer?

AspectPython Mechanical EngineerMechanical Design Engineer
Required SkillsPython programming, mechanical engineering fundamentalsMechanical design, CAD software, engineering principles
Work EnvironmentSoftware development teams, engineering labsDesign offices, manufacturing facilities
CertificationsOptional Python or software certifications, engineering licensesProfessional Engineer (PE), CAD certifications
Industry UsageAutomation, robotics, simulationProduct design, machinery, structural components

The main difference between a Python Mechanical Engineer and a Mechanical Design Engineer lies in their focus areas. Python Mechanical Engineers combine programming skills with mechanical engineering knowledge to develop automation and simulation tools, while Mechanical Design Engineers focus on creating physical product designs using CAD software. Both roles are essential in engineering projects but serve different functions within the industry.

What are the key skills and qualifications needed to thrive as a Python Mechanical Engineer, and why are they important?

To thrive as a Python Mechanical Engineer, you need a solid foundation in mechanical engineering principles, strong programming skills in Python, and typically a bachelor’s degree in mechanical engineering or a related field. Familiarity with simulation and modeling tools like ANSYS or SolidWorks, as well as experience with Python libraries such as NumPy and pandas, is highly beneficial. Problem-solving abilities, effective communication, and adaptability set candidates apart in this role. These skills are essential for efficiently designing, analyzing, and automating engineering processes, leading to innovative and optimized mechanical solutions.

How do Python Mechanical Engineers typically collaborate with cross-functional teams during product development?

Python Mechanical Engineers often work closely with electrical engineers, software developers, and product managers throughout the product development cycle. Their role involves integrating Python-based automation and simulation tools with mechanical design processes, which requires clear communication and coordination to ensure compatibility and efficiency. Regular meetings, collaborative project management platforms, and shared documentation are commonly used to align goals and resolve technical challenges. This cross-disciplinary teamwork not only enhances product quality but also provides valuable opportunities for professional growth and learning.

What does a Python Mechanical Engineer do?

A Python Mechanical Engineer is a professional who combines mechanical engineering expertise with proficiency in the Python programming language. They often use Python to automate simulations, analyze engineering data, create custom computational tools, and develop scripts for design optimization. Their work can involve tasks such as automating CAD processes, running finite element analysis, or integrating hardware and software systems. This combination of skills is increasingly valuable in industries that emphasize digital engineering and automation.
What are popular job titles related to Python Mechanical Engineer jobs in Warren, MI? For Python Mechanical Engineer jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Python Mechanical Engineer jobs in Warren, MI look for? The top searched job categories for Python Mechanical Engineer jobs in Warren, MI are:
What cities near Warren, MI are hiring for Python Mechanical Engineer jobs? Cities near Warren, MI with the most Python Mechanical Engineer job openings:
Python Mechanical Engineer jobs near you
Software Engineer

Software Engineer

Ford Motor Company

Redford, MI

Full-time

Posted 17 days ago

Job description

We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world.

Required Qualifications:

  • Experience: 3+ years of professional software engineering experience in a production environment.
  • Edge Development: Proven experience deploying software to edge computing hardware or IoT devices.
  • Backend Mastery: Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js).
  • Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.
  • Modern Frontend: Experience building responsive web applications with React or similar modern frameworks.

  • DevOps Basics: Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based)

Desired Skills:

  • Experience with OpenCV, TensorRT, or OpenVINO for vision optimization.
  • Familiarity with ML frameworks like PyTorch or TensorFlow.
  • Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming.
  • A passion for "Agentic" workflows and continuous improvement.

Responsibilities:

  • Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.
  • Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends.
  • Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry.
  • Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.
  • AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.
  • Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously
  • Cross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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