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Python Mechanical Engineer Jobs in Sarasota, FL (NOW HIRING)

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Python Mechanical Engineer information

See Sarasota, FL salary details

$22.2K

$134.9K

$195.2K

How much do python mechanical engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for python mechanical engineer in Sarasota, FL is $134,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $158,500.00 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 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 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.

Are Python mechanical engineers in demand?

Python mechanical engineers are in demand as companies seek professionals who can integrate programming skills with mechanical design, automation, and data analysis. Proficiency in Python, along with knowledge of CAD tools and automation processes, enhances job prospects in industries such as manufacturing, robotics, and engineering research.

What cities near Sarasota, FL are hiring for Python Mechanical Engineer jobs?

Cities near Sarasota, FL with the most Python Mechanical Engineer job openings:

Python Mechanical Engineer jobs near you
Infographic showing various Python Mechanical Engineer job openings in Sarasota, FL as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $134,894 per year, or $64.9 per hour.

Senior Vulnerability Researcher (Cyber267)

Research Innovations

Saint Petersburg, FL

Full-time

Posted 10 days ago

Job description

Position Title: Senior Security Researcher
Location: St. Petersburg, FL \u007C Melbourne, FL \u007C San Antonio, TX
Clearance Requirement: Top Secret/SCI
Employment type: Full Time
Research Innovations Inc. (RII) is redefining defense technology. We combine mission-driven impact with cutting-edge research and a culture that values autonomy, creativity, and technical excellence.
 
We are seeking security researchers to independently explore and exploit complex systems, from kernels to embedded platforms, to solve the unsolvable. This role combines deep technical problem-solving with real-world impact on defense and homeland security systems. Get s#it done.
 
This position requires an Active US Top Secret security clearance, and the ability to upgrade to TS/SCI Special Access Program access
WHAT YOU WILL BE DOING

  • Leading advanced vulnerability research efforts across operating systems, kernels, firmware, hypervisors, embedded platforms, and complex application stacks.

  • Independently scoping ambiguous or underexplored attack surfaces and driving research from initial hypothesis through validated findings.

  • Performing deep reverse engineering and in-memory analysis of compiled binaries across multiple architectures (x86/x64, ARM, PowerPC, etc.).

  • Designing and executing novel exploitation techniques and mitigation evaluations, including identifying real-world weaknesses in modern defense mechanisms.

  • Analyzing undocumented or partially documented system behavior and extending internal interfaces or tooling to support research goals.

  • Collaborating with other senior researchers to shape technical direction, review complex work, and raise the overall quality of research output.

  • Translating low-level technical findings into clear, actionable insights for internal stakeholders and, when appropriate, customers.

  • Contributing to research culture through mentorship, knowledge sharing, and improvements to tools, methodologies, and workflows.

WHAT YOU HAVE DONE

  • Conducted high-impact vulnerability research on real-world systems with minimal guidance, producing findings that influenced security decisions or mitigations.

  • Demonstrated deep understanding of operating system internals (Windows, Linux, macOS), kernel subsystems, and low-level execution models.

  • Reverse engineered complex binaries, firmware, or kernel components and reasoned about their behavior in memory.

  • Developed proof-of-concept exploits or mitigation bypasses that go beyond simple crashes and demonstrate meaningful impact.

  • Shown strong intuition for exploit mitigations such as ASLR, DEP/NX, stack canaries, CFI, and where their assumptions break down.

  • Written research tooling, scripts, or frameworks (e.g., Python, C/C++) to support analysis, exploitation, or automation.

  • Collaborated closely with other researchers, provided technical feedback, and influenced how work is approached or evaluated.

  • Communicated complex technical concepts clearly in writing and discussion, including with other experts.

EVEN BETTER

  • Experience with hypervisors, virtualization stacks, firmware boot chains, or trusted execution environments.

  • Background in embedded systems, RTOS environments, or mobile platforms (iOS/Android).

  • Familiarity with networking or wireless stacks (Wi-Fi, Bluetooth, cellular) and their security models.

  • Contributions to the vulnerability research community (publications, talks, open source).

  • Experience with symbolic execution, constraint solving, fuzzing frameworks, or advanced program analysis techniques.

  • Malware analysis experience, including deobfuscation, behavioral analysis, or adversarial tooling.

  • Interest in shaping long-term research direction, mentoring other researchers, or acting as a technical authority without moving into management.

REFERRALS
Know someone who would make a great Senior Vulnerability Researcher? Refer them at www.researchinnovations.com/external-referrals!
At RII, we believe that diversity in our workforce is critical to our success. We strive to hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes us stronger. We work to help your intellectual passions and creativity thrive. It’s one of our core values: Let your geek flag fly.
 
We also offer all employees comprehensive benefits including: flexible work schedules, health insurance coverage, paid time off, 401k with a company match, paid parental leave, access to wellness programs and much more. You get this all from day one, and all paid for by RII. It’s all part of another of our core values: Stay human. It’s why our comfortable and colorful offices such as our headquarters, include a community game room, pantry, massage chair, and an escape room, among other amenities. It’s why we have community ambassadors and regular community events.
 
Research Innovations, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local law.
#LI-AC1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.