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Python Mechanical Engineer Jobs in Fresno, CA (NOW HIRING)

Hudson River Trading

Research Engineer

London, CA

Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires ... Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit ...

EVgo

Senior Reliability Engineer

Fresno, CA

$108.50K - $135.60K/yr

... product failure mechanisms. * Experience performing Weibull analysis and applying statistical ... such as Python, R, or MATLAB. * Strong analytical, problem-solving, organizational, and ...

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Python Mechanical Engineer information

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$22.8K

$139K

$201.1K

How much do python mechanical engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for python mechanical engineer in Fresno, CA is $138,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $163,300.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Python Mechanical Engineer jobs in Fresno, CA? For Python Mechanical Engineer jobs in Fresno, CA, the most frequently searched job titles are:
What job categories do people searching Python Mechanical Engineer jobs in Fresno, CA look for? The top searched job categories for Python Mechanical Engineer jobs in Fresno, CA are:
What cities near Fresno, CA are hiring for Python Mechanical Engineer jobs? Cities near Fresno, CA with the most Python Mechanical Engineer job openings:
Python Mechanical Engineer jobs near you
Infographic showing various Python Mechanical Engineer job openings in Fresno, CA as of May 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $138,979 per year, or $66.8 per hour.
Research Engineer

Research Engineer

Hudson River Trading

London, CA

Other

Posted 24 days ago

Job description

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world's most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

  • Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
  • Building world-class research tooling to speed up Algo Developers' research iteration.
  • Aiding the development and deployment of very large deep learning models for HRT's live trading.
  • Improving HRT's monetization systems which turn our predictions into profitable trades.
  • Evaluating sim vs. live differences to improve the fidelity of our simulations.
  • Building systems to monitor and manage live trading.
  • Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
  • Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) - you'll interact with markets across the world!

Responsibilities

  • Design, develop, and maintain robust, performant, and scalable software systems.
  • Optimize existing codebases for performance, reliability, and efficiency.
  • Debug complex issues across distributed systems in a time-sensitive environment.
  • Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
  • Balance the short term goals of individual trading teams with the longer term goals of HRT's generalized trading platforms across trading teams. Because we don't work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

  • Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
  • Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
  • Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
  • Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
  • Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
  • Kindness and empathy is a real requirement. No "smart jerks" at HRT. 
  • Strong understanding of data structures, algorithms, and design principles.
  • Excellent communication skills, both written and verbal.
  • HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
  • If you have management experience, that's always a bonus - but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

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