Lead Software Engineer - Technical Track

We have an exciting opportunity for a Lead Software Engineer at UL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity 

The Lead Software Engineer is a major contributor to the development and maintenance of complex software systems of Digital Safety. The Lead Software Engineer provides technical guidance, mentorship, and leadership to the team while collaborating with stakeholders to deliver high-quality software solutions. 

UL Research Institutes: 

At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge. 

Build a safer, more secure, and sustainable future with us. Join us and work with our Fire Safety teams who conduct the research required to produce that knowledge and put it into practice. 

Digital Safety Research Institute: 

The Digital Safety Research Institute (DSRI) addresses unresolved safety risks and emerging dangers in the world’s digital ecosystem. We aim to help protect people from unwanted access to personal devices and privacy, algorithms, and disinformation threats by working to create a new digital safety ecosystem. 

DSRI is committed to sharing digital safety insights, collaborating with key stakeholders, and offering extensive outreach and education to help support safer digital environments for people everywhere. 

What you’ll learn and achieve: 

As the Lead Software Engineer, you will play a key role in the rapid growth of UL as you: 

• Lead, define, and develop full-stack software systems and platforms that enable large-scale research, evaluation, and dissemination of safety insights 

• Implement service boundaries, data model evolution, integration patterns between our platforms, and the pipelines and evaluation frameworks they feed 

• Set technical direction across projects, aligning architecture and data frameworks with DSRI’s evolving research priorities and the broader AI evaluation ecosystem 

• Iterative design of complex, ambiguous, cross-cutting systems where the problem isn’t fully understood 

• Ensure consistency in engineering practices and set the standard for AI-assisted engineering on the team, includi