(Closed)Automotive Artificial Intelligence (AAI) GmbH
Senior Software Engineer - Simulation and AV Safety Framework
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- +6
- Berlin, Berlin, Germany
- +3
- +6
- Berlin, Berlin, Germany
About
About Us
#J-18808-LjbffrAutomotive Artificial Intelligence (AAI) GmbH is an innovative technology company founded in 2017 and headquartered in Berlin. At AAI, our mission is to make the development of highly automated driving safer and more efficient. We specialize in creating cutting-edge software solutions, including our simulation platform, AAI Replicar, and provide related services such as data labeling.
To ensure consistent collaboration and strong team connectivity, we have a guideline for our colleagues to spend a minimum of four days per week at the office.
Your Responsibilities and Duties:
- Design and Development: Create and optimize software algorithms in C++, focusing on performance, reliability, and robustness.
- Safety-Critical Systems: Develop and define safety-critical systems for automotive software, including building models for safety arguments.
- API and Protocols: Develop APIs and communication protocols for software modules and distributed servers, adhering to automotive safety standards.
- Collaboration: Work with product owners and engineering teams to turn research into market-ready products, ensuring compliance with safety standards.
- Best Practices: Participate in best practice communities, enhancing skills related to automotive safety.
- Hypothesis Development: Lead the development of hypotheses, including testing criteria and implementation for safety models in critical systems.
- Statistical Analysis: Perform statistical analysis, modeling, simulation, and testing to ensure software meets performance and safety standards.
Your Skills and Qualifications
- Educational Background: Ph.D. or Masterβs degree in Computer Science, Physics, Mathematics, Chemistry, or equivalent practical experience in relevant fields such as AI, Machine Learning, Deep Learning, Mathematics, or Statistics.
- Industry Experience: Minimum of 3 years in technical development, preferably with experience in automotive safety-critical systems, or equivalent practical experience.
- Programming Skills: Proficiency in Python and C++, and familiarity with machine learning tools like TensorFlow, PyTorch, and Caffe.
- Database and Version Control: Knowledge of database systems and experience with Git and distributed version control.
- Safety Standards: Understanding of ISO 26262 and V&V platforms.
- Analytical and Problem-Solving Skills: Strong analytical skills, attention to detail, and problem-solving abilities, particularly in safety and reliability contexts.
- Communication and Collaboration: Effective communication skills and ability to collaborate on safety-related projects.
We love to see:
- Autonomous Vehicle Passion: Enthusiasm for advancing autonomous vehicle technology with a focus on safety and efficiency.
- Learning Agility: Ability to quickly learn new tools and skills, particularly those impacting automotive safety and reliability.
- Research Leadership: Proven ability to independently lead research projects, especially those improving automotive safety.
- Sensor Systems Knowledge: Understanding of vehicle-integrated sensor systems and their contribution to autonomous vehicle safety and performance.
Our Offer:
- Innovative Projects: The opportunity to work on cutting-edge technologies shaping the future.
- Diverse Team: Collaborate with lovely co-workers from various cultural and professional backgrounds.
- Flat Hierarchy: Enjoy a flat hierarchy that promotes transparency and open communication channels.
- Inclusive Environment: Thrive in an open and friendly work environment that values diversity and inclusion.
- Team Events: Participate in team-building activities, including our monthly breakfast and occasional events to build strong team relationships and have fun.
Nice-to-have skills
- C++
- Python
- TensorFlow
- PyTorch
- Caffe
- Git
Work experience
- Embedded
- Machine Learning
- Cyber Security Specialist
Languages
- English