We have an excitingopportunity forabLead Software Engineerb0atUL Research Institutes, within our Digital Safety Research Institute (DSRI). This isa REMOTE opportunitya

ThebLead Software Engineerb0is a major contributortothe development and maintenance of complex software systems of Digital Safety. The Lead Software Engineeraprovidestechnical guidance, mentorship, and leadership to the team while collaborating with stakeholders to deliver high-quality software solutions.

Whatb4lla learna anda achieve:a

As thebLead Softwareb0bEngineer,abyoua will play a key role in the rapid growth ofbULa as you: a

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

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

• Set technical direction across projects, aligning architecture and data frameworks with DSRIb4s evolving research priorities and the broader AI evaluation ecosystema

• Iterative design of complex, ambiguous, cross-cutting systems where the problemb9snb4ta fully understooda

• Ensure consistency in engineering practices and set the standard for AI-assisted engineering on the team, including the use of Claude Code on large refactors, greenfield work, and adopted code from external organizations; developing patterns and documentation to accelerate software engineering.a

• Provide feedback to teams using AI coding tools in a dangerous, inappropriate, or inefficient way.a

• Provide guidance and informal mentorship to junior engineers to support skill development and knowledge sharing.a

• Foster a collaborative and positive work environment, promote knowledge sharing and professional growth within the team.a

• Assista in hiring, onboarding, and training new software engineers, ensuring a smooth integration into the team.a

• Represent technical work across the organization and in select external settingsa

• Contribute to and/or lead other department specific and cross-functional initiatives.a

What makes you a great fit:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

• Deep expertise in software engineering, applied across the systems that support research and data-driven analysis (i.e., React in production at meaningful scale or complexity, Python services, async patterns, careful data handling, sensible API design, PostgreSQL, designing and implementing complex data structures, and working knowledge of the systems layer underneath, including containers, deployment, and observability).

• Architectural judgment built onreal experience(i.e., able to make choices from experience and articulate trade-offs, and able to know when not to introduce a new service, abstraction, or dependency).

• Sophisticated use of AI coding tools, including integrating Claude Code or similar tools into substantial, non-trivial work and the ability to structure context, decompose problems, review generated code, and recover when the tools do not function properly.

• Track recordof technical leadership without formal authority, with experience raising the level of teams through what you build and how you work.

• Clear, direct written communication and the ability to translate complex technical work for varied audiences (i.e., design documents, RFCs, post-mortems, asynchronous code reviews, and internal and external presentations).

• Genuine interest in AI safety, test & evaluation, or one of specific harm domains (e.g., synthetic media, chatbot safety

Professional education and experience requirements for the role include:

• Bachelorb4s degree in computer science, or equivalent combination of education and experience. Masterb4s degree preferred.

• Minimum 8 years of experience in software development, with a focus on platform security andproficiencyin multiple programming languages and frameworks.

• Experience deploying several complex software products andunderstandsthe nuances of the software development life cycle.

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