Job
- Level
- Lead
- Job Feld
- Application, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin, Schwalbach
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle führst du die Architektur und Implementierung von Wahrnehmungsmodellen für automobile Hardware an, wobei du von Cloud-Training bis hin zu Echtzeit-Einsätzen mit Memory- und Latenzanforderungen arbeitest.
Job Technologien
Deine Rolle im Team
- In this role, you'll lead the architecture and delivery of perception models that run from cloud training through to deployment on automotive-grade hardware.
- A key part of the challenge is 'design for deployment' from day one-building models that can meet strict latency and memory constraints on embedded/edge platforms, without compromising real-world performance.
- You will define the architecture, build a world-class team, and own the full journey from research through to deployment-ready models at scale.
- Own, define and lead the end-to-end perception architecture -from cloud training to deployment-ready model variants for automotive-grade SoCs (e.g., Qualcomm Snapdragon Ride, NVIDIA Orin, or similar).
- Drive a deployment-first approach across architecture decisions, including quantization, latency targets, and memory constraints.
- Turn state-of-the-art perception research into reliable, scalable production pipelines (cloud + edge model variants).
- Guide BEV / multi-camera perception focused on road infrastructure (lanes, boundaries, signs, traffic lights, road surface attributes).
- Define evaluation and validation standards, including hardware-aware metrics (latency vs accuracy trade-offs, memory footprint, throughput on reference hardware).
- Partner closely with research, simulation, product, and customer/partner teams to ensure outputs are usable by downstream systems and meet real deployment needs.
- Remain deeply hands-on in architecture reviews, model design, technical investigations, debugging critical issues, and evaluation of new approaches.
- This role requires active technical contribution, not only leadership.
- Help build and scale a high-performing perception engineering team from the ground up, hiring key talent, developing technical leaders, and establishing engineering standards, development processes, and a strong culture of technical excellence.
- Partner closely with customers to understand real-world challenges and translate them into scalable solutions.
Unsere Erwartungen an dich
Qualifikationen
- Strong understanding of perception systems and modern computer vision architectures, including object detection, segmentation, tracking, lane understanding, scene understanding, road infrastructure perception, and spatial AI concepts.
- Demonstrated ability to remain hands-on in architecture reviews, technical investigations, model development, and deployment decisions while leading a team.
- Strong communication skills, with the ability to explain technical trade-offs to both technical and non-technical stakeholders.
- Ability to work effectively across research, engineering, product, platform, and customer-facing teams.
Erfahrung
- 10+ years of experience in ML, AI, computer vision, robotics, autonomous driving, spatial AI, or related fields including hands-on experience with computer vision, perception, or scene understanding systems.
- Proven experience taking ML or computer vision models from research or prototype stage into production systems.
- Experience with deep learning frameworks, preferably PyTorch.
- Experience deploying AI/perception systems on embedded, automotive, robotics, or other hardware-constrained platforms.
- Hands-on experience deploying and optimizing AI/perception models for production, including latency, memory, throughput, quantization, compression, and deployment workflows such as TensorRT and ONNX.
- Experience with automotive-grade SoCs such as NVIDIA Orin, Qualcomm Snapdragon Ride, TI TDA4, or similar platforms.
- Experience building and scaling high-performing engineering teams is an added advantage.
Unser Angebot
- This role can be based in Berlin, Frankfurt, Munich or Amsterdam.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
HERE Global B.V.
Here Technologies ist ein Unternehmen, das Kartierungs- und Standortdaten bereitstellt.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Distinguished Engineer, Perception, Embedded AI & SoC
- Ort
- Berlin, Schwalbach
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
