Tesla Laboratories. Inc.

Tesla Laboratories. Inc.

Senior Fire Protection Engineer

Merritt Island, Florida, United States · Senior

Sponsorship not specifiedDetected 113 days ago

About the role

  • We take pride in fostering a culture that values family, professional growth, and long-term career development-setting us apart from other services companies.

Requirements

  • Bachelor's degree in engineering and 12 years' experience in fire protection engineering.

Company info

  • Tesla Laboratories is a Service-Disabled Veteran Owned Small Business (SDVOSB) providing Cyber Security, Intelligence Analysis, Financial Management, Facilities Engineering Services, and Program Management support to the Intelligence Community (IC), the Department of Defense (DoD), and other federal government customers.
  • Job Description · Perform oversight of the design and construction of fire protection and life safety systems including but not limited to building construction, occupancy classifications, means of egress, water supply, fire alarm systems, water-based fire extinguishing systems, non-water-based fire extinguishing systems, fire dynamics calculations, egress calculations, smoke control calculations, etc. · Provide fire protection systems expertise to support Siemens® and JCI® fire alarm systems, to include the ability to develop system designs and specifications, and to provide oversight of the installation, test, and maintenance of these systems.
  • Benefits Tesla Laboratories offers a comprehensive benefits package designed to support the well-being and long-term success of our employees, including: Competitive compensation Health, dental, and vision insurance Retirement plan with company contribution Paid time off and federal holidays Professional development and training opportunities Supportive, family-focused company culture Opportunities for long-term career growth within a growing SDVOSB
  • Professional Engineering license preferred.

This listing is sourced directly from Tesla Laboratories. Inc.'s careers page and normalized into a canonical job model.