Ddn Lead the Harness & Loop Engineering team at DDN to build AI-powered development environments and inference infrastructure. Define architecture and oversee evolution of AI-assisted engineering systems and platforms.
Responsibilities
Lead the architecture, technical direction, and execution of the Harness & Loop Engineering platform.
Design and build AI-powered development environments, agentic engineering sandboxes, automated quality engineering systems, and inference orchestration platforms.
Develop engineering platforms that significantly improve developer productivity while maintaining rigorous standards for correctness, reliability, and security.
Own technical architecture and provide final design and code review authority for AI-generated software changes.
Define evaluation frameworks, automated testing strategies, validation pipelines, and engineering guardrails that govern AI-assisted software development.
Partner closely with the Foundation SDK team to co-evolve platform capabilities and integrate emerging technologies into production-ready solutions.
Lead the evolution of internal engineering platforms into scalable, externally consumable products once validated through internal adoption.
Oversee internal GPU infrastructure, inference services, and Infinia cluster operations supporting AI development and testing environments.
Establish engineering best practices for Loop Engineering, agentic development workflows, and AI-assisted software delivery.
Mentor and develop engineers across the organization, raising technical standards through coaching, architectural guidance, and technical leadership.
Serve as a key technical interviewer and hiring bar-raiser for engineering talent.
Collaborate cross-functionally with software engineering, platform engineering, AI research, quality engineering, and product management teams to deliver scalable engineering capabilities.
Qualification
Bachelor's degree in Computer ScienceExperience with agentic systemsFamiliarity with storage systemsTechnical SkillsAI-Assisted Software DevelopmentAgentic Engineering Systems
Required
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline; Master's degree preferred.
12+ years of software engineering experience with demonstrated technical leadership in large-scale distributed systems.
Proven experience designing and delivering AI-assisted software development platforms or developer productivity tooling.
Demonstrated success using AI within correctness-critical software systems, including directing coding agents, automated quality engineering agents, and validating AI-generated outputs through rigorous evaluation frameworks.
Deep expertise in machine learning infrastructure, LLM inference serving, and distributed AI systems.
Strong experience building developer platforms, engineering tooling, and software automation frameworks.
Experience with agentic systems, inference orchestration, and AI workflow automation.
Hands-on experience managing GPU clusters, AI compute infrastructure, or large-scale distributed computing environments.
Strong understanding of software architecture, CI/CD pipelines, automated testing frameworks, and production software lifecycle management.
Proven experience mentoring engineers and leading highly technical engineering initiatives.
Preferred
Experience productizing internal engineering platforms for external customers.
Knowledge of AI infrastructure management, model serving frameworks, and high-performance computing environments.
Experience with large-scale observability, platform reliability, and engineering operations.
Familiarity with storage systems, distributed data platforms, or enterprise AI infrastructure.
Contributions to open-source developer platforms, AI tooling, or infrastructure projects.
