Native Processing Server Architect

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  validated in 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

Collab o rative  cul ture:   Inno va tive  work en v iron m ent  that valu e s techni ca l excelle nce, open communi cation,  a nd  p rag matic 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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