Senior AI Pursuit Engineer - Harness & Loop Engineering

About the role

DDN is looking for a Senior Engineer to lead its Harness & Loop Engineering team within the Data Services Engineering organization. The role builds internal engineering platforms, AI-powered development environments, inference infrastructure and automated quality engineering systems that raise engineering productivity. It is a strategic technical leadership position requiring deep expertise in AI systems, large-scale distributed infrastructure, developer platforms and software quality engineering.

Key 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.
• 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 for AI-assisted software development.
• Partner with the Foundation SDK team and evolve internal platforms into externally consumable products.
• Oversee internal GPU infrastructure, inference services and Infinia cluster operations.
• Mentor engineers, act as a technical interviewer and hire, and work with software engineering, platform engineering, AI research, quality engineering and product management teams.

Required profile

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or a related field; Master's preferred.
• 12+ years of software engineering experience with technical leadership in large-scale distributed systems.
• Proven experience designing AI-assisted software development platforms or developer productivity tools, and using AI in correctness-critical software.
• Deep expertise in machine learning infrastructure, LLM inference serving and distributed AI systems.
• Hands-on experience managing GPU clusters, AI compute infrastructure or large-scale distributed computing environments.
• Preferred: productizing internal platforms for external customers, knowledge of model serving frameworks and HPC, and open-source contributions.

Required skills

• AI-assisted software development, agentic systems and Loop Engineering
• LLM inference serving and inference orchestration
• CI/CD automation, automated quality engineering and software validation frameworks
• Distributed systems architecture and cloud and container technologies