Latest AI JobsBrowse Jobs
N

Group Lead Edge AI (Mensch)

neura-robotics-gmbhMetzingen / RiederichAI
Apply on company site
Salary
Not listed
Job type
Full-time
Experience
Senior · 7+ yrs
Posted
21 Sept 2026
Status
Open · checked 7d ago

About this role

Neura Robotics GmbH is seeking a Group Lead Edge AI for their location in Metzingen / Riederich to manage a team transforming advanced models into production-ready device intelligence. This position suits an experienced engineering leader with a strong background in embedded machine learning and hardware optimization.

Role Overview

The Group Lead Edge AI takes charge of the team building on-device artificial intelligence solutions. The professional in this role defines technical directions, makes hardware and architecture decisions, and engages in hands-on debugging and profiling.

Key Responsibilities

Drive on-device AI initiatives from initial research to fully delivered products.
Hire, mentor, and develop edge AI engineers within the team.
Transition trained models into production environments using quantization, pruning, and distillation techniques for embedded accelerators like NVIDIA Jetson and Qualcomm IQ-series.
Manage the complete toolchain, covering model export, inference optimization frameworks such as ONNX, TensorRT, and AIMET, and SDKs that translate models into robot behaviors.
Collaborate across functional units including hardware, software, and product teams to maximize performance within strict latency, energy, and memory constraints.
Establish quality standards by overseeing benchmarking, on-device evaluation, and performance regression testing across deployed hardware targets.
Resolve complex issues independently, including debugging accuracy drops after quantization and addressing latency spikes.

Requirements

Master or PhD degree in Computer Science, Electrical Engineering, Embedded Systems, or a related field.
Minimum of 7 years of professional experience in machine learning or embedded AI engineering.
At least 2 years of technical leadership experience with a proven track record of production deployments on embedded accelerators.
Practical background working with embedded AI hardware platforms like NVIDIA Jetson or Qualcomm IQ-series.
Deep understanding of model optimization techniques including quantization, pruning, distillation, and architecture search.
Proficiency in Python and C++, along with experience using PyTorch, Embedded Linux, and low-level profiling.
Fluent command of the English language, with German language skills at B2 to C1 level considered an advantage.

Skills and Tools

Python
C++
PyTorch
ONNX
TensorRT
AIMET
NVIDIA Jetson
Qualcomm IQ-Series
Embedded Linux

About the Company

Neura Robotics GmbH develops advanced robotic solutions and operates in Metzingen / Riederich, focusing on integrating sophisticated models with embedded hardware platforms to deliver functional robot behaviors.

How to Apply

Interested candidates should apply directly on the official Neura Robotics GmbH careers page.

Skills and tech stack

Questions candidates ask

What is the primary focus of the Group Lead Edge AI role?

The role focuses on leading a team that transforms advanced AI models into production-ready, device-level intelligence for embedded systems and robotic applications.

What educational background is required?

Candidates must hold a Master or PhD degree in Computer Science, Electrical Engineering, Embedded Systems, or a related discipline.

How many years of professional experience are necessary?

Applicants need 7 or more years of experience in machine learning or embedded AI engineering, which must include at least 2 years of technical leadership experience.

What hardware platforms and frameworks are used?

The work involves embedded hardware platforms such as NVIDIA Jetson and Qualcomm IQ-series, utilizing optimization toolchains and frameworks like ONNX, TensorRT, AIMET, PyTorch, Python, and C++.

Are language skills required for this position?

Verhandlungssicheres English is required, while German language skills from B2 to C1 level are considered an advantage.

Ready to apply?

The application is on the official neura-robotics-gmbh careers page.

Apply on company site