Aptiv is a leader in in-cabin sensing technology and a well-established supplier of sensing and computer hardware as well as software solutions. In this fast-growing and innovative technology area you would be working in an international team of computer vision and machine learning experts and software developers to shape the future of mobility with us. 

At Aptiv we design, develop, and validate systems to enhance the safety and comfort in the vehicle cabin. This includes the development of innovative software features and machine learning algorithms in driver state sensing, seat occupancy monitoring, child presence detection, or hand gesture recognition using 2D and 3D cameras as well as other interior sensing technologies. Driver state sensing plays an important role not only to prevent road accidents caused by drowsiness or distraction of the driver, but also in the context of higher levels of automated driving, e.g. hand over scenarios.  

Your Role

In your daily job you will:

• Develop, support and execute advanced simulations and software tool development for synthetic data generation for automotive interior sensing machine learning algorithms  

• Modelling, texturing, rigging and animation of 3D assets, and building diverse scenes  

• Minimize domain gap of synthetic and real data for training and testing of ML algorithms  

• Work closely with machine learning engineers to understand data requirements  

• Deployment of simulation render jobs on-premise and/or in cloud

• Writing high quality, tested and efficient software in Python for our AI/ML Simulation Stack  

• Working in an Agile SW development team (SCRUM)  

• Mentoring junior engineers

Your Background

• Bachelor's or master's degree in computer science or related field with specialization on Computer Simulation, Computer Graphics or Computer Vision

• 3 years of practical experience with 3D simulation software, video game development or another related field

• Strong software development skills in Python. You have a passion for clean, well-tested and documented code, following an ASPICE development process

• Proven experience with at least one of the following tools: Blender 3D, Unreal Engine, Unity 

• Practical experience with Linux, version control systems (e.g. Git, DVC)

• Solid knowledge in classical computer vision and camera calibration 

• Basic knowledge in machine learning model building and evaluation 

• Fluent in English. Excellent written and verbal communication skills & interpersonal skills 

Nice to have:

• Solid knowledge in at least one common ML framework (e.g. PyTorch, Tensorflow) 

• Experience working with Image-based Generative Models (e.g. Stable Diffusion, GANs, VAEs, Diffusion Models)

• Experience with scaling large workloads on cloud infrastructure

• Experience working with large scale datasets

Why join us?

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Private health care (Signal Iduna) and Life insurance for you and your beloved ones

• Well-Being Program that includes regular webinars, workshops, and networking events

• Hybrid and flexible working hours

• Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)

• Access to sports groups and Multisport card

Apply today, and together let’s change tomorrow! 

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.