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Python Mechanical Engineer Jobs in Austin, TX (NOW HIRING)

Shift Robotics

Gait Control Engineer

Austin, TX · On-site

You will work closely with mechanical, electrical, and firmware teams to develop algorithms that ... Prototype algorithms in Python or MATLAB before deploying to embedded systems. * Evaluate control ...

Shift Robotics

Gait Control Engineer

Austin, TX · On-site

You will work closely with mechanical, electrical, and firmware teams to develop algorithms that ... Prototype algorithms in Python or MATLAB before deploying to embedded systems. * Evaluate control ...

Apptronik

Senior Hardware Test Engineer

Austin, TX · On-site

... is mechanically and electrically robust before it transitions to mass production. ESSENTIAL DUTIES ... Write Python or C++ scripts to automate continuous life-cycle and fatigue testing. * Data ...

Base Power Company

Hardware Test Engineer

Austin, TX · On-site

A proven track record of designing and executing tests that define the limits of mechanical, electrical, and reliability performance. * Strong programming skills in Python and/or LabVIEW for ...

Eden Technologies Inc

Software Engineer

Lockhart, TX · On-site

$130K - $165K/yr

This role will work closely with mechanical, electrical, and test engineers to develop software for ... Write, test, and debug software in Python and C/C++ for embedded and system-level applications

Enphase Energy

Staff Power Test Engineer

Austin, TX

$100K - $151K/yr

... Python, shell) * Demonstrate safe electrical work practices and contribute to safe work practices and procedures. Who you are and What you bring * BS/MS/PhD Electrical Engineering, Mechanical ...

Enphase Energy

Staff Power Test Engineer

Austin, TX · On-site

$100K - $151K/yr

... Python, shell) * Demonstrate safe electrical work practices and contribute to safe work practices and procedures. Who you are and What you bring * BS/MS/PhD Electrical Engineering, Mechanical ...

Yotta Energy

Test Engineer II

Austin, TX · On-site

Develop and execute automated test procedures using Python, LabVIEW, or similar scripting ... Bachelor's degree in Electrical Engineering, Mechanical Engineering, Engineering Technology, or a ...

Yotta Energy

Test Engineer II

Austin, TX · On-site

$110K/yr

Develop and execute automated test procedures using Python, LabVIEW, or similar scripting ... Bachelor's degree in Electrical Engineering, Mechanical Engineering, Engineering Technology, or a ...

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All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Austin, TX

Python Mechanical Engineer information

See Austin, TX salary details

$22.8K

$138.7K

$200.7K

How much do python mechanical engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for python mechanical engineer in Austin, TX is $138,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $163,100.00 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 Austin, TX? For Python Mechanical Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Python Mechanical Engineer jobs in Austin, TX look for? The top searched job categories for Python Mechanical Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Python Mechanical Engineer jobs? Cities near Austin, TX with the most Python Mechanical Engineer job openings:
Python Mechanical Engineer jobs near you
Gait Control Engineer

Gait Control Engineer

Shift Robotics

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

About Shift Robotics
We're making the world a more walkable place. Through intuitive personal mobility, we make walking faster, more efficient, and more accessible to empower people to choose walking over sitting in traffic. By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet.
Our flagship product, Moonwalkers, are the world's fastest robotic shoes, augmenting natural walking with intelligent locomotion assistance. By giving people the ability to Moonwalk, we believe the path toward a more human-scale future can be reached on your own two feet.
We are building the next generation of Moonwalkers and are looking for engineers who thrive in fast-paced environments where hardware, software, and human motion intersect.
We are covered in Wired, CNET, Gizomodo, PCMag and many other tech press.
Role Overview
The Gait Control Engineer will lead the development of locomotion control algorithms for Shift's robotic footwear platform. This role focuses on designing, implementing, and deploying robust control and estimation algorithms that enable safe, intuitive, and responsive human-machine interaction.
You will work closely with mechanical, electrical, and firmware teams to develop algorithms that run reliably on embedded systems while handling real-world variability in human gait and terrain.
This role requires strong intuition for human locomotion, control systems, and embedded algorithm implementation.
Responsibilities:
Locomotion Control Development
  • Design and implement gait control algorithms for wearable robotic systems.
  • Develop control strategies for walking assistance across different user speeds, terrain conditions, and gait phases.
  • Implement and validate locomotion controllers on embedded hardware.

State Estimation & Sensor Fusion
  • Develop real-time estimation algorithms using IMU, force sensors, encoders, and other onboard sensors.
  • Implement sensor fusion pipelines for gait phase detection, motion estimation, and intent recognition.
  • Ensure algorithms remain robust under noisy real-world conditions.

Algorithm Prototyping & Validation
  • Prototype algorithms in Python or MATLAB before deploying to embedded systems.
  • Evaluate control strategies using simulation tools (e.g., MuJoCo, Simulink, or custom simulation environments).
  • Design experiments and analyze data from real hardware testing.

Embedded Implementation
  • Translate algorithms into efficient C/C++ implementations for real-time embedded systems.
  • Optimize algorithms for low-latency execution on resource-constrained processors.
  • Work with firmware engineers to integrate control algorithms into production software.

System Integration
  • Collaborate with mechanical and electrical engineers on actuator selection, sensor placement, and system architecture.
  • Ensure control algorithms meet performance, safety, and reliability requirements.
  • Identify system limitations and propose improvements in hardware or software.

Requirements
Education:
  • MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related field
Experience:
2+ years experience developing control algorithms for:
  • wearable robotics
  • legged robots
  • powered prosthetics
  • exoskeletons
  • humanoid locomotion
Technical Skills:
  • Strong understanding of:
  • Control systems
  • Multibody dynamics
  • Human locomotion
  • State estimation
  • Sensor fusion

Experience with:
  • Real-time control implementation in C/C++
  • Algorithm prototyping using Python or MATLAB
  • Embedded systems development
  • Processing IMU and force sensor data
  • Debugging real-time robotic systems

Preferred Qualifications:
Experience with one or more of the following:
  • Gait phase detection and intent recognition
  • Model-based control (e.g., MPC, optimal control)
  • Extended Kalman Filters or nonlinear state estimation
  • RTOS-based embedded systems
  • ARM Cortex microcontrollers
  • Real-time signal processing
  • Simulation tools such as MuJoCo, Simulink, or OpenSim
  • Experience working on production robotics systems or shipping hardware products is highly valued.

Benefits
  • Competitive salary and equity participation
  • 401(k) retirement plan
  • Medical, dental, and vision insurance
  • Flexible vacation policy
  • Paid holidays
  • A collaborative, fast-moving engineering environment
  • Opportunity to shape the future of personal mobility

Apply