Native Processing Server Architect (m/f/d)

Your mission

The future of AI computing is light, not electrons.

At Q.ANT, we are building photonic processing systems that compute with light—delivering a scalable, energy-efficient alternative to transistor-based architectures for next-generation AI and high-performance computing.

As our Native Processing Server Architect (m/f/d), within our Operations team, you will operate at the intersection of deep engineering execution and forward-looking platform architecture. You will take ownership of designing, building, and evolving our Native Processing Server (NPS) platform—from prototype construction and hardware evaluation to scaling strategies and deployment concepts. Hands-on with hardware and systems, you don't just specify architectures, you build, test, and validate them, directly shaping how our photonic technology reaches production and field environments.

Your Impact & Responsibilities

Define and own the NPS platform architecture and platform roadmap, driving the evolution of server concepts, hardware selection, and deployment models

Drive end-to-end technical execution, including prototype construction, hardware bring-up, system configuration, thermal/power validation, and maintenance concepts

Optimize system density, performance, and manufactur ability by collaborating closely with teams from hardware engineering, NPU development as well as NPU production, to ensure seamless integration and service ability

Establish scalable installation and deployment processes, collaborating with cloud/hosting partners and enterprise data center environments

Support Field Application Engineering (FAE) with deep architectural expertise during complex customer deployments and integration phases

Drive platform innovation and continuous improvement, translating real-world engineering learnings and market requirements into actionable platform features

Align platform strategy and priorities with the Director of Operations, product management, and cross-functional engineering teams

Your profile

Education: M.Sc. in Computer Engineering, Electrical Engineering, or a related technical field

Experience: 5+ years of hands-on experience in IT architecture, HPC, or enterprise IT infrastructure

Technical Mastery: Deep understanding of server technologies, data center operations, cluster computing, high-density server design, power/cooling constraints, and hardware deployment

Hands-on Execution: Proven track record in prototype build, hardware bring-up, system validation, and server installations (OS, networking, low-level configuration)

Product & Customer Orientation: Experience in product ownership/lead technical roles, alongside exposure to technical sales, consulting, or field deployment support

Software & AI Skills: Familiarity with software development processes, AI workloads, or system integration (a strong plus)

Languages: Fluent in English; proficiency in German or another European language is a plus

Why us?

Work on the leading edge: Photonic AI acceleration technologies that will define the next decade of computing - already validatedin production HPC environments

Make impact at scale: Help solve one of computing's biggest challenges - making growing demand in compute and sustainability go hand in hand

Own your work from day one: Broad autonomy and decision authority with direct impact on product success and the future of AI infrastructure

Fast-track your growth: Work on challenges with few industry precedents - every problem you solve becomes new institutional knowledge and potentially industry-defining IP

World- class team: Collaborate alongside a passionate, international, cross-functional team of experts in photonics, processor design, and AI systems

Direct access to leadership: Work closely with the company’s founders, including CEO Dr. Michael Förtsch, and the Q.ANT senior leadership team

Collaborative culture: Innovative work environment that values technical excellence, open communication, and pragmatic problem-solving

Be part of history: Join at the inflection point where photonic computing transitions from research to mainstream - your contributions will shape this transformation

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