Oliver Beck
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering Leadership | Scaling Physical AI & Embedded Autonomy | PhD
Engineering Leadership | Bridging AI Research & Series Production I lead the engineering organizations required to transition complex machine learning models from research prototypes into Series Production (SOP). My work focuses on the industrialization of Physical AI, specifically for safety-critical systems and embedded autonomy. Executive Leadership: Currently co-steering a Perception Domain of several hundred engineers and leading a 100+ person AI Core department. I specialize in architecting departments from scratch and driving velocity within complex multi-company alliances. Physical AI & CV: Deep experience in L2/L2++ Computer Vision, Multi-Task Learning, and situational interpretation for regulated, real-world environments. Embedded Autonomy: Proven track record of optimizing complex architectures for automotive-grade hardware (Qualcomm, Ambarella) while maintaining rigorous safety standards. Technical Foundation: I combine a background in Computational Neuroscience (MIT / TU Berlin) with the operational experience of a former Managing Director.
Udacity
Nanodegree, Deep Learning
January 1, 2017 – January 1, 2017
Global Association of Risk Professionals
ERP, Energy Risk Professional - Certified by the Global Association of Risk Professionals
January 1, 2010 – January 1, 2010
Technische Universität Berlin
Dissertation, Theoretical Neuroscience (Dissertation), Physics (Diploma)
January 1, 1997 – January 1, 2005
University of Wisconsin-Madison
Mechanical Engineering
January 1, 1996 – January 1, 1997
The University of Bonn
Vordiplom, Physik
January 1, 1994 – January 1, 1996
CARIAD
Head of AI Core, ADAS/AD (OU2)
October 1, 2025 – Present
CARIAD
Head of Machine Learning Core Technologies, ADAS/AD (OU3)
October 1, 2021 – October 1, 2025
CARIAD
Head of Machine Learning at CSO73
February 1, 2021 – September 1, 2021
Hella Aglaia Mobile Vision GmbH
Head of Machine Learning, ADAS & Quality Inspection (Group Lead)
November 1, 2019 – January 1, 2021
Hella Aglaia Mobile Vision GmbH
Senior Deep Learning Engineer, ADAS
January 1, 2017 – October 1, 2019
Deep AI UG (haftungsbeschränkt)
Founder & Managing Director
June 1, 2015 – December 1, 2021
Panketal · On-site
Analyx GmbH
Managing Director
February 1, 2015 – December 1, 2016
Analyx GmbH
Manager
January 1, 2014 – January 1, 2015
KPMG Deutschland
Manager, Advisory Risk & Compliance
September 1, 2011 – December 1, 2013
Berlin, Germany · Hybrid
GA Financial Solutions GmbH
Managing Director
August 1, 2009 – March 1, 2011
Berlin, Deutschland · On-site
Wiesing Investments GmbH
Managing Director
November 1, 2005 – August 1, 2009
Technical University Berlin
Wissenschaftlicher Mitarbeiter
February 1, 2001 – October 1, 2005
Berlin, Deutschland · On-site
Fernuniversität in Hagen
Teaching Assistant
February 1, 2001 – October 1, 2001
Cultural Fit Analysis
The candidate's career trajectory shows a significant shift from finance/risk management to deep learning and AI, demonstrating adaptability and a strong drive for continuous learning. Their experience spans large corporations (CARIAD, KPMG) and founding startups (Deep AI UG, Analyx GmbH), indicating a versatile approach to work environments. The diverse roles and industries suggest an individual who can thrive in various organizational cultures, from structured corporate settings to agile startup environments. The focus on ADAS/AD and embedded AI aligns well with cutting-edge technology development.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Head of AI Core, Head of Machine Learning, Managing Director) suggests strong leadership, project management, and team co-steering abilities. Their background in advisory and risk management indicates analytical thinking, problem-solving, and stakeholder communication skills. The descriptions imply a capacity for strategic planning and execution in complex technical environments.