Construction Process Optimization Engineer
Core
Own installation productivity on the ground for GW-scale solar and storage campuses powering AI data centers, embedded with EPC crews to optimize field labor.
Role type
Senior IC construction process optimization engineer
Builds
Fully islanded solar and storage campuses for AI data centers
Domain
Renewable energy infrastructure + construction operations
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
time-and-motion studies, bottleneck analysis, lean methods, takt planning, line-of-balance, work sampling, data analysis (Excel/Python/SQL), field experiment design, logistics planning, QA/QC process design, playbook creation, training delivery
Preferred skills
utility-scale solar or BESS construction experience, oil and gas/petrochemical/manufacturing operations background, construction robotics experience, Texas PE license, OSHA 30 certification, Spanish proficiency
Technologies
Excel, Python, SQL, GPS/RTK layout tools, robot-assisted survey tools
Responsibilities
Run structured time-and-motion studies to build productivity baselines; identify and quantify bottlenecks in schedule and cost; design and run field experiments on crew size, sequencing, and methods; solve recurring physical problems with scalable methods; build material logistics systems including delivery cadence and laydown plans; stand up QA/QC processes to prevent rework; codify methods into standard work and train EPC crews; feed constructability findings back to engineering and procurement
Seniority
Senior, hands-on IC