ML Simulation Engineer (f/m/d)

Aptiv Wuppertal, Germany

Company

Aptiv

Location

Wuppertal, Germany

Type

Full Time

Job Description

Help shape the future of mobility.

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 the area of 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.

Aptiv is a leader for in-cabin sensing technology and a well-established supplier of sensing and compute 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.

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Your Tasks

  • 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)

Your Background:

Required Qualifications:

  • 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
  • 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

Preferred Qualifications:

  • 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

Aptiv Benefits:

  • Our working style: flexible work environment
  • Learning, professional growth and development in a world-recognized international environment.
  • Access to internal & external training, coaching & certifications.
  • Recognition for innovation and excellence.
  • Opportunities to give back to the community

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

Apply today, and together let's change tomorrow!

#LI-KK2

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

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.

Apply Now

Date Posted

10/03/2024

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