Modular is looking to revolutionize AI infrastructure by rebuilding the AI software stack from the ground up and is seeking a Lead Software Engineer in Test to define and drive the strategy for quality across the engineering organization.
Requirements
- Experience ensuring quality in the domain of machine learning and numerical computing, with an understanding of the unique challenges in testing and validating these systems.
- Proven experience defining and implementing quality systems at scale.
- Expertise with software delivery workflows and related tooling (e.g., build/test frameworks, static analysis, dependency management).
Responsibilities
- Design and develop Modular’s Quality Strategy, defining principles, priorities, and metrics that enable continuous improvement.
- Implement and develop an end-to-end full stack quality system with cross-team collaboration.
- Integrate with teams to collaborate in developing testing strategies.
- Proactively identify systemic risks to quality and coordinate initiatives to address them.
- Monitor, analyze, and improve the effectiveness of Modular’s quality-related processes (e.g., test nondeterminism, CI/CD performance, release readiness).
- Provide technical guidance and thought leadership in quality for Modular ML products.
Other
- Strong collaboration skills and ability to influence cross-functional teams, including product, engineering, and leadership stakeholders.
- Strong written and verbal communication skills, including the ability to articulate complex technical ideas and influence organizational change.
- Traveling 2-4 times a year is expected for all roles.
- Bachelor's, Master's, or Ph.D. degree in a relevant field (not explicitly mentioned but implied)
- Must be authorized to work in the US or Canada
