Lead mechanical engineering on EPC power generation projects, overseeing design, specification, vendor coordination, construction support, commissioning, schedules, budgets, and deliverables. Provide technical direction, review vendor submittals, prepare RFQs and estimates, conduct field walkdowns, mentor staff, and ensure compliance with codes, safety, and project standards.
Position Description
ResponsibilitiesThe Lead Mechanical Engineer is a senior-level role responsible for overseeing the mechanical engineering function on EPC power generation projects for Zachry Group. This position leads the design, specification, and integration of key mechanical systems and equipment while ensuring alignment with project objectives, technical standards, and regulatory requirements.
The role requires full accountability for mechanical engineering deliverables across all project phases—from proposal development and detailed design through construction support and commissioning. The Lead Mechanical Engineer serves as the primary point of contact for mechanical scope, providing direction to internal teams, coordinating with clients and vendors, and ensuring that engineering solutions are practical, cost-effective, and constructible.
This position demands strong leadership, deep technical expertise in power plant systems, and the ability to manage resources, schedules, and quality in a fast-paced EPC environment. The individual will mentor engineering staff, drive continuous improvement, and uphold Zachry Group’s commitment to safety, quality, and operational excellence.
Key Responsibilities
- Serve as Mechanical Lead on EPC power projects, accountable for technical execution and deliverable quality
- Lead mechanical design efforts and coordinate across disciplines, clients, and vendors
- Manage project schedules, budgets, and resource plans; provide regular status updates and reports
- Develop RFQ packages and lead technical bid evaluations with recommendation summaries
- Review and approve vendor submittals for compliance with project specifications and industry codes
- Develop technical scopes of work, job notes, and engineering deliverables
- Conduct field walkdowns to gather data and support design validation
- Prepare man-hour estimates for proposals and project planning
- Participate in and lead client, vendor, and internal project meetings
- Present technical information and resolve engineering issues or system challenges
- Apply sound engineering judgment to evaluate, select, and adapt standard techniques and procedures
- Provide mentorship, technical guidance, and training to engineers and project personnel
- Supervise and review work of engineers and designers, as required
- Ensure engineering documentation meets applicable standards; sign and seal work if licensed
#LI-SG1
QualificationsMinimum Requirements
Preferred Qualifications
- Bachelor’s degree in Mechanical Engineering or related discipline
- 15+ years of experience in power generation or relevant industrial sectors (e.g., oil & gas, chemical, or heavy industrial EPC)
- Strong expertise in rotating and static equipment, including pumps, heat exchangers, and ASME pressure vessels
- Working knowledge of ASME codes and standards for pressure vessels and piping systems
- Experience specifying major power plant equipment (e.g., CTGs, STGs, HRSGs)
- Proven experience working within an EPC project execution environment
- Strong leadership, communication, and coordination skills
- Ability to manage multiple priorities and drive project outcomes
- Compliance with site-specific requirements, including drug/alcohol programs and safety policies
Preferred Qualifications
- Licensed Professional Engineer (PE)
- Experience as Mechanical Lead on EPC combined cycle power plant projects
- Demonstrated experience managing multidisciplinary engineering teams
- Strong understanding of construction, commissioning, and startup phases
Similar Jobs
Fintech • Information Technology • Software
Build, train, and productionize machine learning models for fraud detection and identity verification. Perform data acquisition, feature engineering, experimentation, monitoring, and analyses to inform product, sales, and risk decisions. Collaborate with engineering, data acquisitions, and risk operations to maintain data quality and ship production-ready code. Research new fraud types and contribute to new product development across the ML lifecycle.
Top Skills:
AWSEc2PostgresPythonRdsRedshiftS3
Fintech • Information Technology • Software
Build and deploy production ML models for fraud and identity risk across the full ML lifecycle. Research new fraud types, engineer features, write production-ready code, collaborate with cross-functional teams, and inform product, data acquisition, and business decisions.
Top Skills:
Aws Ec2Aws RdsAws RedshiftAws S3PostgresPython
Fintech • Information Technology • Software
Design, develop, and productionize machine learning models for fraud detection and identity verification. Perform end-to-end model lifecycle work including data acquisition, feature engineering, training, experimentation, deployment, and monitoring. Research new fraud types, build product-focused models, write production-ready code, and collaborate with engineering, operations, and data teams to support product and business needs.
Top Skills:
Aws Ec2Aws RdsAws RedshiftAws S3PostgresPython
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
