P&ID Solutions Engineer

About Cerebre

Cerebre is a rapidly growing global team on a mission to digitize the physical world. Our software transforms traditional sources of engineering knowledge into accessible, usable data that supports field operations and advanced analytics.

Our team is developing cutting-edge technology to make our physical world safer, more productive, and environmentally sustainable.

We collaborate with the largest companies and most innovative clients and partners who aim to transform the industrial industry.

Our development team is comprised of world-class engineers who design and create novel solutions.

This is an opportunity to join a market-leading team with opportunities to change the industrial world.

If you love building and creating value in the "white space," if you love freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment, we would love to get to know you!

We believe flexibility leads to creativity and that our team should live and work where we are our best selves. We’re 100% remote and offer a competitive time off package to ensure time for rest and recharge.

About the role

As a P&ID Solutions Engineer, you will apply your process or mechanical engineering background to interpret and analyze complex piping and instrumentation diagrams. You will transform these diagrams into high-quality, structured data using Cerebre’s proprietary tools, ensuring accuracy in representing process flow, instrumentation, and system interactions.

In this role, you’ll work closely with a global team of engineers to support the digitization of highly complex process systems. You will leverage your knowledge of equipment, control logic, and process flow to contribute to precise, scalable solutions that enable our clients to make better, faster operational decisions.

This is an opportunity to be part of a high-growth U.S.-based startup as we expand operations in Asia. You’ll have the chance to deepen your technical expertise, influence evolving workflows, and help shape the future of industrial data transformation.

Required Skills

Engineering degree in Process, Chemical, or Mechanical Engineering (or equivalent relevant experience).

Proven experience interpreting Piping and Instrumentation Diagrams (P&IDs), including equipment, instrumentation, and control logic.

Strong understanding of process flow, instrumentation, and industrial systems in sectors such as oil & gas, petrochemical, power generation, or manufacturing.

Familiarity with process safety documentation and industry standards.

Analytical mindset with strong problem-solving skills for working with highly complex diagrams.

Attention to detail in identifying and resolving inconsistencies in diagram data and process representation.

Proficiency in documenting technical information in a clear, structured, and concise manner.

Strong verbal and written communication skills in English for effective collaboration across teams.

Preferred Skills

Understanding of data structures and database-driven applications (especially graph databases).

Experience working in a global or cross-cultural engineering environment.

Continuous improvement mindset with the ability to identify opportunities for process optimization.

Familiarity with specialized engineering software for P&ID digitization, diagram interpretation, or industrial process modeling.

Exposure to digital twin concepts and industrial data integration.

Excellent communication skills to effectively collaborate with engineering and QA teams.

More about Cerebre

We are cross-functional collaborators.

We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings

We are experienced.

We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling

We are serious builders.

We develop our platforms using leading practices in IT / OT architecture, OT security, AI architecture, ML Ops, and Platform engineering