4 beste Stellen als machine learning phd in münchen – aktuell auf Personalsuche

Expert Perception Data Engineer (m/f/d)
driveblocks —München
- Vollzeit
- Doktorat
- Informatik
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Group Lead AI Engineering - RoboGym (human)
Neura Robotics —München
- Vollzeit
- Azure
- Doktorat
- Informatik
Direkt bewerben
Senior AI/ML Engineer (F/M/D)
Animore —München
- Vollzeit
- Doktorat
- Systemdesign
- Englisch
Direkt bewerben
Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d)
NXP Semiconductors —München
- Vollzeit
- Doktorat
- Informatik
- Master

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Group Lead AI Engineering - RoboGym (human)
Neura Robotics —München
2+ years of people management or formal technical leadership (tech lead, staff engineer, or team lead with direct reports).
Direkt bewerben

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Expert Perception Data Engineer (m/f/d)

driveblocks
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Doktorat
Informatik
Master
C++
Machine Learning
Künstliche Intelligenz
Robotik
Python

Vollständige Stellenbeschreibung

Your Role

As an Expert Perception Data Engineer you scale the data workflows that power the next-generation of off-road autonomy systems. You own the full data lifecycle from ingestion and curation to automated scenario mining, dataset generation, embeddings-based retrieval, and validation workflows.

In this hands-on engineering role, your designs and implementations have a critical impact on enabling the robust and safe performance of our software in challenging off-road conditions. Your main tasks are:

Designing and scaling large-scale perception data pipelines for terabytes of incoming multimodal sensor data.
Developing automated dataset curation and scenario mining systems for edge cases and safety-critical situations.
Building embeddings-based retrieval and semantic search pipelines for perception data selection and analysis.
Maintain tooling for dataset versioning, metadata management, annotation orchestration, and quality assurance to meet certification requirements.
Improving infrastructure for high-throughput data processing, cloud-native workflows, and distributed compute pipelines.
Driving automation around data operations, labeling processes, and deployment feedback loops from field operations.

Your Background

6+ years of professional experience building large-scale data processing systems for machine learning or robotics applications
Strong software engineering skills in Python and/or C++
Experience working with multimodal sensor data such as camera, lidar, and radar
Familiarity with dataset management tooling, embeddings, vector databases, semantic retrieval, and similarity search systems
Strong ownership mindset and the ability to work independently in a fast-moving engineering environment
Strong communication skills and the ability to explain complex technical topics clearly across engineering and customer-facing teams
Degree in computer science, robotics, engineering or a related field(Bachelor, Master, or PhD)

We understand that not everyone will meet all the criteria! If you see yourself in these points, we’d love to learn more about you!

About Us

driveblocks develops off-road ground autonomy that works under harsh and challenging conditions. We build systems designed for operation in 3D terrain, vegetation, and heavy dust and dirt, where 100% reliability is core to success, even in GNSS-denied environments.

Working with multiple OEM partners across agriculture, construction, and defense, our focus is to deliver value to vehicle operators and solve the toughest challenges when deploying Physical AI in real world applications. Every deployment helps us to gather the operational data required to build the next generation of reliable and safe autonomous driving systems.

From our office in Munich, we operate as a focused, highly ambitious team with deep expertise in autonomy, Physical AI, and embedded software engineering. We move quickly and set high standards. If you want to build autonomy that is deployed, tested, and operated in the field - we’d love to hear from you!

Working at driveblocks

Ownership of your work – Take responsibility for the full value chain
Competitive Compensation & Benefits
Participate in driveblocks’ success via a Virtual Stock Option Plan
Flexible working hours

How To Apply

Upload your CV and additional documents
Show your unique motivation

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Erweiterte Suche

machine learning phd Jobs in münchen

Expert Perception Data Engineer (m/f/d)

Group Lead AI Engineering - RoboGym (human)

Senior AI/ML Engineer (F/M/D)

Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d)

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