1

Python Mechanical Engineer Jobs in New York, NY (NOW HIRING)

Python GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

W2-Contract / Full-Time Looking for a hands-on AI Engineer to work on a high visbility Gen AI ... Various inferencing mechanisms - transformer/pipeline, vllm * Agentic framework: langgraph

Python UI Developer Consultant

Manhattan, NY · On-site

$55.50 - $76.25/hr

Python UI Developer for direct banking client in New York City Work location: midtown Manhattan ... Implement secure authentication and authorization mechanisms using OAuth2, API Keys, Bearer Tokens ...

New

CFD Engineer - Mechanical - New York, NY Our client is an Engineering Design and Commissioning ... Experience with JAVA or Python scripting; Linux and HPC O/S a plus * MS Office Suite (Excel, Word ...

Controls Engineer

Queens, NY · Hybrid

$105K - $130K/yr

... Mechanical Engineering, or related discipline * Minimum of 5 years of experience in controls or software engineering, preferably in automotive applications * Experience coding in Python and LabVIEW

Controls Engineer

Queens, NY · On-site

$105K - $130K/yr

... Mechanical Engineering, or related discipline * Minimum of 5 years of experience in controls or software engineering, preferably in automotive applications * Experience coding in Python and LabVIEW

Showing results 21-40

Python Mechanical Engineer information

See New York, NY salary details

$25.2K

$153.1K

$221.5K

How much do python mechanical engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for python mechanical engineer in New York, NY is $153,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $180,000.00 per year, depending on experience, location, and employer.

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.

How does a Python mechanical engineer 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 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.

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.

Are Python Mechanical Engineers in demand?

Python Mechanical Engineers are in demand as companies seek professionals who can integrate Python programming with mechanical systems, automation, and data analysis. Skills in Python, CAD software, and control systems increase employability in industries like manufacturing, robotics, and engineering design.

What job categories do people searching Python Mechanical Engineer jobs in New York, NY look for?

The top searched job categories for Python Mechanical Engineer jobs in New York, NY are:

What cities near New York, NY are hiring for Python Mechanical Engineer jobs?

Cities near New York, NY with the most Python Mechanical Engineer job openings:

Python GenAI

Precision Technologies Corp

Jersey City, NJ • On-site

$52.50 - $72.25/hr

Contractor

Re-posted 7 days ago


Job description

Role – Python GenAI

Location - Jersey City, NJ/Charlotte, NC / Dallas, TX / NYC

Type: W2-Contract / Full-Time

Job Description:

Looking for a hands-on AI Engineer to work on a high visbility Gen AI project involving summarization and chatbot supporting a huge volume of documents from various LOBs and of various types. This position is for a self-starter with strong technical skills as well as leadership qualities and should be able to effectively communicate difficult technical concepts. 

Responsibilities:

  • Leads the design, development and implementation of complex data management, storage applications,
  • Often using new technologies.
  • Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results.
  • Work leadership may be provided by assigning work and resolving problems.
  • Requires a Bachelors degree or advanced degree and /or equivalent experience in related IS/IT discipline.
  • Excellent written and verbal communication skills coupled with ability to translate business strategy into achievable tactics.
  • Typically over 10 years of related IT experience.

Requirements:

  • • 2+ years of professional experience as a data scientist executing end-to-end Gen AI projects using following technologies
  • LLM Models (Llama, Mixtral, Mistral)
  • Various inferencing mechanisms – transformer/pipeline, vllm
  • Agentic framework: langgraph
  • Evaluation frameworks: RAGAS, langsmith, phoenix-arize
  • Embedding (all-MiniLM-L6-v2, all-mpnet-base-v2)
  • LLM development framework : Langchain, LlamaIndex
  • Rest API, FastAPI, Websockets
  • Enterprise Redis Database, Qdrant, Cockroach
  • Must have experience of working with Model Risk Management/Model Governance, which includes
  • Delivering on a Gen AI project following the model governance guidelines
  • Writing a model document
  • Building model monitoring capabilities
  • Strong programming experience with Python
  • Angular experience a huge plus
  • Experience with Slurm, Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus
  • Knowledge of machine-learning techniques, classifiers and statistical methods
  • Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline
  • Demonstrated success in executing high value, enterprise projects with clear articulation of benefits, costs and risk
  • Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partners
  • Desire to use modern technologies as a disruptive influence within the Finance domain