Hybrid Solar Optimization Engineer

solvenergy; San Diego (CA); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan

Paid vacation

Job summary

SOLV Energy is seeking an Engineering Optimization Support professional to assist in implementing and executing optimization workflows across utility-scale solar and storage projects. This hybrid role requires regular in-office presence in San Diego, CA or Bend, OR, with collaboration across engineering, procurement, software development, and Lean Innovation teams.

The role emphasizes learning established workflows, developing automation tools, and supporting cost-saving and efficiency

Qualifications

• Bachelor's degree in Engineering or related technical field.
• 1-3 years of engineering, EPC, construction, or renewable energy experience.
• Engineer-in-Training (F.E.) preferred.
• Familiarity with PV foundation and racking systems preferred.
• Proficiency in AutoCAD, GIS, and MS Office.
• Strong analytical, organizational and problem-solving skills.
• Ability to manage assigned tasks and communicate progress effectively.
• Strong written and verbal communication skills.
• Self-motivated with strong attention to detail.
• Ability to adapt and respond quickly in a fast-paced EPC environment.

Responsibilities

• Support engineering and procurement teams through in-house developed software solutions (Propt tool).
• Coordinate with Engineering Management, Preconstruction, Procurement, Software Development, and the Lean Innovation & Technology (LIT) team as directed by the Engineering Optimization Manager.
• Learn and apply established workflows for engineering technologies and process improvements across SOLV projects as directed.
• Create pile matrices for purchase orders across active SOLV projects using the Propt tool with guidance from senior engineers.
• Follow standardized workflows for pile procurement and project execution.
• Communicate observations and potential opportunities to improve engineering workflows to senior team members.
• Support implementation and adoption of engineering tools and process improvements across projects.
• Monitor workflow performance and document observations for review by senior engineers.
• Support LIT and software development teams by testing engineering tools and reporting findings as directed.
• Gather feedback from project teams and communicate operational needs to senior engineers for tool enhancement requests.
• Support testing, rollout, and training efforts for new capabilities and process improvements.
• Assist in developing automation and reporting tools as directed by senior engineers.
• Support integration of construction automation requirements into engineering standards and project designs under the guidance of senior engineers.
• Assist with value engineering initiatives across civil, structural, and electrical disciplines.
• Document and communicate potential opportunities for project cost savings and constructability improvements to senior engineers.
• Support design teams and project stakeholders in implementing optimized engineering solutions as directed.
• Assist project teams with engineering coordination and technical process support throughout project execution.
• Build working relationships across project teams to support consistent workflow execution and tool adoption.
• Support organizational adoption of new engineering tools, workflows, and standards.

Skills

Analytical skills

Communication skills

Detail oriented

Self-motivated

Adaptability

Education

Bachelor's degree in Engineering

Engineer-in-Training (EIT) preferred

Tools

AutoCAD

GIS

Microsoft Office

Job description

SOLV Energy is seeking an Engineering Optimization Support professional to assist in implementing and executing optimization workflows across utility-scale solar and storage projects. This hybrid role requires regular in-office presence in San Diego, CA or Bend, OR, with collaboration across engineering, procurement, software development, and Lean Innovation teams.

The role emphasizes learning established workflows, developing automation tools, and supporting cost-saving and efficiency