Head of Engineering

• Lead & scale: Manage and grow a highly productive team of systems and AI engineers, fostering a culture of disciplined rigor without bureaucratic friction.
• Drive execution: Ensure that research-led designs and experiments are implemented in a robust, production-faithful platform that handles complex processing pipelines and heterogeneous hardware infrastructure.
• Engineering execution: Own and execute the engineering roadmap, working closely with the Product and Business leadership of the company.
• Bridge the gap between research and platform: Our work spans the range from research on trustworthy agentic AI to scalable and reliable platform engineering.

• Systems intuition: You have a deep understanding of the entire stack, from model code and serving frameworks (Triton, vLLM) to distributed systems to hardware-specific runtime configurations.
• Robust agentic AI systems: You have experience with agentic AI and a strong desire to build these systems using software and systems engineering principles.
• Leadership depth: Experience managing small, high-performance teams in a fast-paced startup or advanced R&D environment. You know how to drive a team toward milestones while maintaining high software and system quality.

Technical excellence:

• Experience with one or more of cloud systems for AI workloads, GPU optimization, and performance engineering.
• Strong proficiency in Python and AI/ML frameworks (e.g., PyTorch).
• Expertise in or experience with agentic AI systems.
• Experience with heterogeneous hardware environments and AI/ML pipelines.
• Mission-driven: You believe AI is the ultimate collaborator for discovering new ideas in
• AI-driven systems and are excited to contribute to this mission.

Glia AI?

• Strong pedigree: Work alongside a team of renowned experts in AI-driven systems.
• Massive impact: Our technology has demonstrated the ability to achieve significant improvements in long-running engineering research and design tasks spanning performance engineering, model pipeline development, and cost optimization..
• Robust financials: Our seed round ($13.5M) closed in September 2025; we’re backed by top-tier VC firms (Pillar, E14, and Neotribe), as well as luminaries like Jeff Dean, Ion
• Stoica, Aparna Chennapragada, Nick McKeown, Srinivas Narayanan, and more. We are in the midst of multiple paid PoCs with marquee customers.
• Solving hard problems: We are solving the fundamental bottlenecks of the AI revolution: quality, performance, and cost.