Head of Engineering

For decades, progress in complex computer systems relied solely on human ingenuity. We are changing that paradigm. We are building an AI-based systems engineer that augments human experts to design and optimize the next generation of AI infrastructure.

Our Platform is a multi‑agent system that mimics the R&D process of top‑tier engineers—reasoning, experimenting, and analyzing experimental data in depth to deliver results 10-100x faster than human experts. We are turning weeks of manual systems engineering into hours of automated, high‑performance output. Based on a decade of award‑winning research at a top‑tier research institution, and backed by significant VC- and angel‑backed funding, we are now scaling our engineering organization to meet the demands of the AI era.

About the Role We are looking for a dynamic, highly technical, hands‑on Head of Engineering to lead our small but exceptional team of engineers. This is a “player‑coach” role for a leader who still loves to dive into the design, architecture, and code with the team, but is equally passionate about (i) driving accountability, (ii) building a high‑performance, truth‑seeking, can‑do culture, and (iii) delivering tangible business results. You will manage the development of our platform that optimizes demanding AI workloads.

You will report to the co‑founder and CEO, and also work closely with our other co‑founder, playing a pivotal role in shaping the technical and organizational future. Responsibilities 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. Desired Expertise and Experience Systems intuition: You have a deep understanding of the entire stack, from model code and serving frameworks (Triton, vLLM) 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: Strong proficiency in Python and AI/ML frameworks (e.g., PyTorch). Experience with one or more of cloud systems for AI workloads, GPU optimization, and performance engineering. 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. Why Join?

Strong pedigree: Work alongside a team of renowned experts in AI‑driven systems, leading our engineering group. 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 closed recently; we’re backed by top‑tier VC firms, as well as recognized industry luminaries.

We have also been signing paid PoCs with marquee customers. Solving hard problems: We are solving the fundamental bottlenecks of the AI revolution: performance, complexity, and cost. #J-18808-Ljbffr