Director of AI-Driven Software Engineering

Datacor

United States

Remote

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Datacor seeks a Director of Software Engineering to lead the Engineering Software Group across chemical process simulation, flow simulation, and reliability modeling. You will partner with Product Management, R&D, and Strategy to modernize legacy environments, scale delivery, and shape an AI-first engineering culture.

The role requires strong architectural judgment, DevOps expertise, and a pragmatic approach to evolving complex scientific software, with a track record of advancing Agile

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 7+ years of software development experience with 3+ years in engineering management at director level.
  • Experience modernizing legacy development environments and evolving teams with limited process maturity.

Responsibilities

  • Lead software development teams across product families in simulation and modeling.
  • Define and improve development practices including version control, code review, automated testing, CI/CD, and Agile processes.
  • Own the AI adoption strategy for internal workflows and product capabilities with clear criteria for adoption.
  • Drive improvements in throughput, release cadence, and quality using engineering metrics.
  • Set long-term architectural direction including modularization, service decomposition, interfaces, scalability, and performance.

Skills

Engineering leadership
Agile practices
Software architecture
Stakeholder collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Jira
Notion
Git
DevOps tooling

Job description

Datacor seeks a Director of Software Engineering to lead the Engineering Software Group across chemical process simulation, flow simulation, and reliability modeling. You will partner with Product Management, R&D, and Strategy to modernize legacy environments, scale delivery, and shape an AI-first engineering culture.

The role requires strong architectural judgment, DevOps expertise, and a pragmatic approach to evolving complex scientific software, with a track record of advancing Agile

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