Technical Co-Founder (ML Optimization on Heterogeneous Networking Hardware): AI for 5G/6G Infra[...]

TN Germany; Dresden; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative company is seeking a Technical Co-Founder to lead the development of cutting-edge AI solutions for 5G/6G infrastructure. This role involves co-developing core architectures for distributed AI inference, optimizing AI models for performance, and leading the hardware/software co-design of custom AI accelerators. You will play a crucial role in shaping the future of technology, focusing on energy efficiency and sustainability. Join a dynamic environment where your expertise will directly impact the evolution of telecommunications and AI, and be part of a team that values creativity and forward-thinking solutions.

Leistungen

Equity share opportunity

Flexible working hours

Collaborative work environment

Qualifikationen

• Master's or PhD in Computer Science or related fields required.
• Strong background in Machine Learning and Hardware Design essential.

Aufgaben

• Co-develop core architecture for distributed AI inference on network nodes.
• Design and optimize AI models for low-latency and energy-efficient execution.

Kenntnisse

Machine Learning Optimization

AI Model Design

Energy Efficiency

Hardware/Software Co-Design

Distributed Computing

Ausbildung

Master's in Computer Science

PhD in Electrical Engineering

Tools

FPGAs

ASICs

Jobbeschreibung

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Technical Co-Founder (ML Optimization on Heterogeneous Networking Hardware): AI for 5G/6G Infrastructure, Dresden

Client: GREEN-DNN

Location: Dresden, Germany

Job Category: Other

EU work permit required: Yes

Job Reference: 29de50277933

Job Views: 2

Posted: 09.05.2025

Expiry Date: 23.06.2025

Job Description:

Tasks

• Co-develop the core architecture for distributed AI inference on programmable network nodes (switches, SmartNICs, heterogeneous hardware accelerators in base stations).
• Design and optimize AI models (DNNs, LLMs, etc.) for low-latency, resource-constrained, and energy-efficient execution.
• Lead the hardware/software co-design of custom AI accelerators targeting reconfigurable architectures (FPGAs, etc.).
• Contribute to synthesis, optimization, and deployment of AI accelerators.
• Design scalable scheduling, orchestration, and dynamic resource allocation algorithms for distributed and edge AI execution.
• Understand and integrate with 5G/6G telecommunication architectures and protocols (RAN, core, MEC, etc.).
• Lead the technical validation and prototyping with early adopters.
• Collaborate on grant writing, product roadmap, and tech strategy.
• Hire and mentor future engineers and researchers as the team grows.

Requirements

• Based in Germany, with a valid Niederlassungserlaubnis or German citizenship.
• A Master's or PhD in Computer Science, Electrical Engineering, or related fields.
• Proven ability to build systems end-to-end: from prototype to deployable demo.
• Interest in energy efficiency, sustainability, and impactful technology.
• Fluent in English; German is a bonus.
• Strong background in at least two of the following domains (and basic understanding of all three):

Machine Learning (SW side):

• Optimizing DNNs, LLMs, or other AI models for embedded / edge devices.
• Quantization, pruning, knowledge distillation, or other optimization methods.

Hardware Design:

• Designing and synthesizing AI accelerators for FPGAs or custom ASICs.
• Circuit-level optimization, High-Level Synthesis (HLS), or RTL design experience.

Networking / Telecommunication:

• Understanding of the 5G/6G stack, from radio access to packet processing.
• Experience in distributed computing frameworks and edge/cloud orchestration.

Note: This is a non-paid position at the moment, with equity share considered at the time of company founding.