Currently, we are seeking a qualified
Mechanical Engineer to work collaboratively with our Fabrication Shop in
Anderson, California .
About the Position - Design and rebuild lumber manufacturing equipment
- Coordinate the development and improvement of lumber processing equipment
- Effectively model detailed concepts and designs using 3D modeling software
- Provide leadership and direction to fabricators, assemblers, machinists, and shop personnel
- Work with company operations to understand complete application and needs
- Coordinate activities relative to the development of new equipment
- Plan and supervise equipment installation, upgrades, and start-ups
- Work to continuously learn and improve knowledge of industry and equipment
Qualifications - Bachelor's degree in mechanical engineering or 5 years' significantly equivalent experience
- 3 years' experience in the lumber industry and/or machine design
- 3 years' working experience with SolidWorks software required, FEA analysis-experienced is a plus
- Machine center alignment and installation experience
- Knowledge of hydraulics, drives, welding, fabrication, and machining preferred
- Able to contribute creative solutions and succeed in an innovative environment
- Possess strong problem-solving, multi-tasking, and organizational skills
- Excellent verbal and written communication skills
Why Join Our Team? Because this is more than an invitation, it's a commitment to offer opportunities for personal and professional growth to everyone! We ask people to grow with us and make the company even better.
We provide an excellent benefit package including a
full Health Benefits Plan (including medical, dental, and vision) with low-cost premiums, a 401(k) with Company Match, additional Retirement Contributions , and company-paid Life Insurance.
How to Apply If you are qualified and would like to join our team,
please apply online at:
spi.careers Let's Talk! (530) 378-8353
The general wage range for this position at Sierra Pacific Industries is from $70,000 and $115,000 per year, and is dependent upon a number of factors, including, but not limited to: relevant work experience, skill, knowledge, and/or education.
