Note: The job is a remote job and is open to candidates in USA. UL Research Institutes is hiring a Lead Software Engineer for its Digital Safety Research Institute. The role leads the development and maintenance of software systems and platforms supporting digital safety research, while setting technical direction, mentoring engineers, and collaborating with stakeholders.
Responsibilities
- 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, 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
- Provide feedback to teams using AI coding tools in a dangerous, inappropriate, or inefficient way
- Provide guidance and informal mentorship to junior engineers to support skill development and knowledge sharing
- Foster a collaborative and positive work environment, promote knowledge sharing and professional growth within the team
- Assist in hiring, onboarding, and training new software engineers, ensuring a smooth integration into the team
- Represent technical work across the organization and in select external settings
- Contribute to and/or lead other department specific and cross-functional initiatives
Skills
- 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 on real 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 record of 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
- Bachelor's degree in computer science, or equivalent combination of education and experience
- Minimum 8 years of experience in software development, with a focus on platform security and proficiency in multiple programming languages and frameworks
- Experience deploying several complex software products and understands the nuances of the software development life cycle
- Master's degree
Benefits
- Remote opportunity
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