Native Processing Server Engineer (m/f/d)

Q.ant GmbH; Stuttgart; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Q.ANT is seeking a Native Processing Server Engineer in Stuttgart to own the NPS platform architecture, prototype-to-deployment, and cross-functional collaboration. You will shape photonic processing systems that power next-generation AI, with hands-on responsibilities spanning hardware bring-up, validation, and scalable deployment strategies.

The role requires a strong technical track record in IT architecture, HPC, and data center operations, plus fluent English and German language skills as a

Qualifikationen

• M.Sc. in Computer Engineering, Electrical Engineering, or related field.
• 5+ years hands-on experience in IT architecture, HPC, or enterprise IT infrastructure.
• Deep understanding of server technologies, data center operations, and cluster computing.
• Proven track record in prototype build, hardware bring-up, and server installations.
• Fluent in English; German language proficiency is a plus.

Aufgaben

• Define and own the NPS platform architecture and platform roadmap, driving server concepts, hardware selection, and deployment models.
• Drive end-to-end technical execution, including prototype construction, hardware bring-up, system configuration, and maintenance concepts.
• Optimize system density, performance and manufacturability with cross-functional teams across hardware engineering, NPU development, and NPU production.
• Establish scalable installation and deployment processes with cloud/hosting partners and enterprise data centers.
• Support Field Application Engineering with deep architectural expertise during complex customer deployments.
• Drive platform innovation and continuous improvement based on real-world learnings and market requirements.
• Align platform strategy with the Director of Operations, product management, and cross-functional engineering teams.

Kenntnisse

Server technologies

Data center ops

Cluster computing

High-density servers

Power & cooling

Hardware deployment

English proficiency

German a plus

Ausbildung

MSc in Computer Eng or Electrical Eng

Jobbeschreibung

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 ourNative Processing Server Engineer (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:Proventrack recordin 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;proficiencyin 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 - alreadyvalidatedin 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
• Collaborativeculture:Innovativework environmentthat values technical excellence, open communication,andpragmatic 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