Jobs at Qutwo

Architect and build scalable full-stack and backend systems for intensive ML workloads, own end-to-end MLOps (training, deployment, data pipelines, monitoring), implement CI/CD, security, and testing best practices, and mentor cross-functional teams while translating research into production-grade software.

Develop, implement, and benchmark classical and quantum optimization solutions for enterprise problems. Translate business problems into mathematical models, design QUBO/quantum approaches, use major quantum frameworks, and communicate results to customers and interdisciplinary teams.

Conduct applied and exploratory AI research; build end-to-end ML solutions with scientists, engineers, and customers; translate complex problems into mathematical models; mentor junior researchers and deliver high-impact, scalable ML implementations for quantum-era applications.

Build and operate cloud and ML infrastructure: maintain CI/CD pipelines, IaC, Kubernetes/Docker environments, observability (Prometheus/Grafana/OpenTelemetry), and support ML model deployment and platform reliability for engineering and research teams.

Lead the research team defining algorithms, applications, and scientific foundations of Qutwo OS. Set strategy, conduct original research, publish, and convert research into production-grade implementations while building and mentoring the team.

Design the core architecture of Qutwo OS to enable hardware-aware execution across multiple quantum backends, translate research into production-ready platform components, define cloud-native and MLOps integrations, and lead and mentor the platform engineering team.

Design and implement quantum algorithms, run and benchmark them on quantum hardware versus classical alternatives, collaborate with scientists and customers, and provide technical leadership and mentorship.

Design, implement and productionize end-to-end ML systems at scale; collaborate with scientists, engineers and customers to deliver ML solutions; prioritize system design, observability and infrastructure-as-code; lead cross-functional initiatives, mentor teams, conduct code and architecture reviews; scale LLM infrastructure, RAG, fine-tuning, distributed computing, vector DBs and GPU optimization.

Lead and coordinate multi-quarter enterprise design partnerships, translating strategic customer ambitions into executable technical scope, driving deployments, customer success, expansion, and codifying playbooks across BD, R&D, product, and client teams.

Lead end-to-end product development of Qutwo OS, translating research into production-ready enterprise orchestration for hybrid quantum-classical compute. Prioritize roadmap, run iterative cycles, coordinate customer deployments, and deliver first paying customers.