Operations Engineer

Posted 16 Days Ago
Be an Early Applicant
Islamabad, PAK
In-Office
Junior
Robotics • Automation
The Role
Analyze visual and other data from onshore and offshore infrastructure to identify defects and engineering features. Perform condition assessments using industry standards, create photogrammetric 3D models, conduct metrology analysis, complete quality assurance, and prepare inspection reports. The role requires interpreting engineering drawings and schematics, using CAD and point-cloud software, annotating data, analyzing large datasets, and drawing engineering conclusions.
Summary Generated by Built In

Our Company:

Abyss Solutions is a global leader in reinventing industrial asset management both above and underwater for step-change improvement in asset life, maintenance cost, and minimized failure risk. Our cutting-edge technology solutions integrate advanced autonomous systems, combining computer vision, robotics, and data analytics to deliver highly accurate inspections of critical infrastructure through 3D digital twins. This process identifies precise maintenance needs, offering clear, actionable insights to our clients and preventing costly failures.

With a commitment to pushing technological boundaries, our solutions ensure the structural and mechanical integrity of assets across various industries, including oil & gas, water channels, tunnels, energy, and marine sectors, enabling businesses to mitigate operational risks and optimize performance. Abyss is aiming to fully automate the maintenance process, expanding applications and capabilities into multiple verticals. 

Headquartered in Sydney and with a global presence, we are dedicated to fully automating the maintenance process, helping our clients manage risk, improve sustainability, and drive smarter decision-making to enhance their operations. 

Position Summary

The role will be analyzing large volumes of visual data from offshore infrastructure to identify and annotate mechanical, structural and hydraulic features in this data for the purposes of condition assessment and asset integrity management.  Also undertake condition assessment of various inshore and offshore structures using visual and other data, based on established client or industry codes/frameworks. Basic quality assurance tasks are integral part of the role.

Key responsibilities

  • Analyze large volumes of visual and other  data from onshore and offshore infrastructure to identify and annotate faults and defects as well as mechanical, structural, and hydraulic features.
  • Implement different client and industry condition assessment and asset integrity standards.
  • Create photogrammetric 3D models and undertake metrology analysis on these for precise measurement on parts and equipment.
  • Undertake basic quality assurance tasks on your work and that of others
  • Preparing engineering (inspection/condition assessment) reports.

Person specification

  • High attention to detail
  • Continuous improvement and agile mindset
  • Collaborative spirit and affinity to work as part of teams
  • Strong analytical and interpersonal skills
  • Effective communication skills
  • Familiarity with interpreting various engineering schematics, drawings, P&IDs, Isometrics and process diagrams
  • Experience in the use of CAD models of piping, structures or engineering components
  • Demonstrated ability to quickly pick up the use of new software and emerging technologies
  • Technical report writing
  • Understanding of Data Analytics
  • Proficiency in MS Excel/Google Sheets and G-Suite
  • Maintaining exceptional quality and work performance 
  • Strong computer skills with demonstrated ability to quickly pick up the use of new software
  • Familiarity with the use of Autodesk Navisworks and/or AutoCAD
  • Familiarity with the use of Autodesk Recap and working with point cloud data
  • Exposure to Linux operating system
  • Experience in manual data annotation
  • Experience in working with or as part of remote teams
  • Experience in analyzing large volumes of data and drawing engineering conclusions from this
  • Familiarity with API, NACE, ASCE, and ASME inspection and coating standards

Qualification

  • Bachelor’s level qualification in Mechanical, Chemical, Mechatronics, Material, Industrial, Petroleum or Civil engineering.
  • Preference will be given to candidates enrolled in a relevant Master’s program
  • 1-3 years of industry experience. Preferably in a relevant industry.

Skills Required

  • Bachelor's degree in Mechanical, Chemical, Mechatronics, Materials, Industrial, Petroleum, or Civil Engineering
  • 1-3 years of industry experience
  • Ability to interpret engineering schematics, drawings, P&IDs, isometrics, and process diagrams
  • Experience using CAD models of piping, structures, or engineering components
  • Technical report writing experience
  • Understanding of data analytics
  • Proficiency in Microsoft Excel, Google Sheets, and Google Workspace
  • Familiarity with Autodesk Navisworks and/or AutoCAD
  • Familiarity with Autodesk ReCap and point-cloud data
  • Exposure to the Linux operating system
  • Experience with manual data annotation
  • Experience analyzing large datasets and drawing engineering conclusions
  • Familiarity with API, NACE, ASCE, and ASME inspection and coating standards
  • Enrollment in a relevant Master's program
  • Relevant industry experience
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The Company
HQ: Sydney
Year Founded: 2014

What We Do

Abyss is pioneering the future of inspection at scale, providing products and solutions that are enabling autonomous robots to capture and analyze data at an unprecedented level. Its industry-leading technology is pushing the boundaries of the possible, going beyond the status quo to deliver billions of dollars in risk reduction for some of the world’s biggest companies. We’ve curated the brightest minds in autonomy who work every day to help protect the world’s most valuable assets and resources, delivering the insights needed to inform preventative maintenance programs, exceed health and safety targets, and significantly reduce CO₂.

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