Mechanical Engineer, Technology Integration at SWANSON RINK

Denver, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jul, 26

Salary

0.0

Posted On

23 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Mechanical engineering, Python, C#, C, C++, Javascript, Schemas, Large language models, AI development, CFD software, Ansys fluent, Thermal measurement, Automation software, Simulation modeling, Baggage handling systems, Pedestrian dynamics

Industry

Design Services

Description

Description Come Design with us! Swanson Rink's growing Technology Integration team leads the integration of new technologies in order to facilitate workplace efficiencies and improvements to help boost productivity and business results. Get to know Us: INTEGRITY | ENGINEERING EXCELLENCE | LEGACY Founded in 1949, Swanson Rink specializes in designing mechanical, electrical, fire protection, plumbing and technology infrastructure for data centers, airports and other complex buildings. Ranked among Building Design + Construction top Engineering Firms for both Airport and Data Center design four years running! Our Impact: Swanson Rink provides endowed scholarships to support engineering students, invests hundreds of hours a year in employee training and development, and we encourage our team to Cultivate Curiosity through a monthly presentation series led by team members on the latest issues and trends facing our clients. Follow us on LinkedIn! What Can We Offer You for All Your Hard Work? The opportunity to work on complex, exciting projects for high profile clients Focused training and professional development, mentorship, professional career growth opportunities Paid professional membership fees, tuition reimbursement, prep and exam coverage for certifications and licenses EcoPass/Commuter benefits (Denver) Stock purchase plan Company paid holidays, Paid Time Off, paid parental leave Vision, dental and medical insurance with employer HSA contributions, FSA options Monthly technology allowance Traditional and Roth 401(k) with immediate vesting on matching contributions Your Job Responsibilities: Provides programming support for AI focused projects. Develops new library for customized CFD software (Ansys Fluent). Performs In-field deployment of thermal measurement system and data-driven CFD model development. Works with automation software to develop/generate simulation models related to baggage handling systems and pedestrian dynamics. May engage in business travel for client meetings, field surveys, etc. Participates in seminars and training events to stay current with industry trends Requirements Your Requirements and Qualifications: MS in Mechanical Engineering from an accredited four- year college or University preferred Certification as an EI/EIT Experience programming in Python, C#, C, C++, Javascript, and Schemas Familiarity with Large Language Models (LLMs) and AI development tools. Must be available to travel occasionally. Requires the ability to pass background checks, security screenings or drug testing as required by our clients and/or Federal contracts. Must be authorized to work in the United States. What Puts You a Step Ahead: The position is beyond programming and will require a combination of advanced software development and engineering physics (including CFD). Salary range of $80,000+ and will be based on several factors including experience, knowledge, skills, and abilities of the applicant. Equal Employment Opportunity/Veteran/Disability Note to Staffing Firms: To protect the interests of all parties, Swanson Rink does not accept unsolicited resumes from any source other than directly from an applicant or from an approved vendor with a fully executed written agreement. Swanson Rink is not responsible for any placement fees associated with unsolicited resumes.

Responsibilities

The role involves providing programming support for AI-focused projects and developing customized CFD software libraries. Additionally, the engineer will perform in-field thermal measurement deployments and generate simulation models for complex building systems.