Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies
We are the Big Data Analytics Platform.
and Impact As an AI/ML Software Engineering Graduate Intern, you will contribute to the design, development, and optimization of cutting-edg
will include, but are not limited to: - Monitor and research state-of-the-art developments in Edge AI, including model optimization, AI comp
About We are looking for a motivated Working Student to support our AI Engineering team in developing and testing practical AI-driven applic
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Optimiert Low-Level-Kernel für LLM-Inferenz auf eigener Hardware, misst Performance auf Silizium und baut Profiling-Tools.
The Data and Analytics division (DAA1) is Munich Re s hub for data, analytics, and AI-driven innovation.
Entwickelt und implementiert Compiler-Passes und Optimierungen für ML-Workloads auf eigenen ASICs und baut Entwicklertooling für den ML-Compiler.
Forschung an Multi-Tier-Optical-Circuit-Switching-Netzen für KI-Rechenzentren: Modelle bauen, Traffic-Placement optimieren, Algorithmen simulieren und publizieren.
Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks.
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
If you are a member or alumni of a Formula Student team, this is exclusively for you - applying to this role ensures that the people you int
Erforscht und entwickelt neue 3D-Rekonstruktions- und Novel-View-Synthesis-Verfahren, bewertet sie mit Benchmarks und überführt sie in Produktivsysteme.
Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
Erforscht und implementiert neue Verfahren zur 3D-Generierung und Rekonstruktion für World Models und publiziert die Ergebnisse auf Top-Konferenzen.
Unterstützt die Angebotsakquise im Fassadenbau, entwickelt und testet KI-Anwendungen zur Prozessoptimierung und analysiert Daten.
Du erhältst spannende Einblicke in die Welt der Angebotsakquise von Bauprojekten mit Schwerpunkt Fassadenbau.
Untersuchung und Vergleich geeigneter Knowledge-Graph-Technologien und Graphdatenbanken Konzeption und Implementierung eines Prototyps zur d
The Data and Analytics division (DAA) is Munich Re s hub for Data, Analytics and AI.
Unterstützt Strategieprojekte quantitativ mit Analysen, Prognosemodellen und Dashboards und präsentiert die Ergebnisse direkt beim Kunden.
Als Expert:in für immense Datenmengen bist Du der Ansprechpartner, wenn es darum geht, mittels verschiedener Methoden Daten sinnvoll zu orga
Weiterentwicklung eines datengetriebenen Modells in PyTorch als Proxy eines CFD Strömungslösers Entwicklung eines semi-parametrischen Modell
Das waren alle 23 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Minimum Qualifications Currently enrolled in a PhD program in Computer Science, Robotics, Artificial Intelligence, Machine Learning, Computer Vision, or a related technical field. Strong knowledge of machine learning and deep learning. Experience with PyTorch and Python.
Experience in at least one of: Computer vision Autonomous driving Multimodal/Vision-Language Models Robotics Ability to develop and evaluate research ideas independently. Strong written and verbal communication skills in English. Preferred Qualifications Research experience in end-to-end autonomous driving, behavior prediction, trajectory prediction, or robotics.
Experience with VLMs/VLM evaluation, foundation models, or multimodal representation learning. Experience working with large-scale datasets and data-selection or active-learning techniques. Familiarity with closed-loop simulation or autonomous-driving evaluation.
Publications or demonstrated research experience at major machine-learning, computer-vision, or robotics venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, or ICRA. What You Will Gain This internship offers the opportunity to conduct applied research at the intersection of autonomous driving, multimodal foundation models, and data-centric AI. The research has the potential to contribute directly to scalable data-flywheel systems in production for autonomous driving, connecting vehicle evaluation, failure discovery, intelligent data selection, and model retraining.
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Applicants : Qualcomm is an equal opportunity employer.
If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies.
Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.
Stunden: 32 - 40 Stunden
Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies GmbH Job Area: Interns Group, Interns Group > Workstudy Intern General Summary: PhD Internship: Data-Centric AI for End-to-End Autonomous Driving Location: Munich / Unterschleißheim, Germany Duration: 6 months Area: Autonomous Driving, End-to-End AI, Vision-Language Models, Data-Centric AI We are looking for a highly motivated PhD student to join our AI Systems team in Munich and conduct research on automated data curation for end-to-end autonomous driving systems. Modern end-to-end driving models depend heavily on the quality, diversity, and relevance of their training data. Large-scale driving datasets, however, contain substantial redundancy while rare and safety-critical situations remain difficult to identify systematically.
The goal of this internship is to develop data-centric AI techniques that automatically identify model weaknesses and translate observed real world driving failures into improved training datasets. The work will move beyond general data selection towards fine-grained, model-aware data curation using trajectory and action information, multimodal representations, and potentially Vision-Language Models (VLMs).
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige128 geprüfte Stellen bei 79 Arbeitgebern, 10 davon ortsunabhängig. 73 in der KI-Entwicklung, 33 in Integration & Automatisierung.