Responsibilities
- Build and refine factory systems that convert AI models into production-ready services validated across cloud, on-prem, and Kubernetes platforms.
- Partner with teams to shape and iterate on technical strategies and roadmaps for continuous improvement of the NIM factory.
- Create automated testing frameworks to validate hardware, collect benchmarks, and perform statistical analysis on system health and NIM performance.
- Collaborate with engineering leads to design scalable, reliable hardware validation processes and performance optimization workflows.
- Engage with AI model teams to understand needs and develop efficient infrastructure that boosts team-wide productivity.
- Establish performance metrics and lead enhancements informed by user input and operational data.
- Mentor peers and collaborate across teams to foster professional growth and knowledge sharing.
- Demonstrate a consistent track record of personal skill development and supporting growth in others.
Other
- Applications for this position will remain open until at least January 10, 2026.
- The company is dedicated to cultivating a diverse workforce and is an equal opportunity employer.
- Employment decisions, including hiring and advancement, are made without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability, or any other legally protected characteristic.
