Data Engineer at EY focusing on digital transformation projects in finance. Collaborating across teams to develop innovative data solutions in a diverse, global environment.
About the role
- Simulation Engineer developing simulation modules and tools for autonomous systems at leading AI/ML company. Collaborating with users and supporting development teams in a dynamic environment.
Responsibilities
- Build a state-of-the-art simulation ecosystem
- Develop closed-loop simulation modules in C++
- Create tools for test automation and data analysis using Python
- Integrate simulation with AD/ADAS software
- Support other development teams by creating test scenarios and conducting post-analysis
- Collaborate with users to find solutions for feature requests related to simulation
Requirements
- A relevant university degree (e.g., MSc in Computer Engineering, Mathematics, Applied Mechanics, or a similar field)
- Proficiency in Python
- Experience with Git and Gerrit
- Familiarity with Linux
- Fluent English communication skills
- Nice to Have
- Experience in simulation development or Robotics
- Knowledge and experience in 3D reconstruction, NeRF or 3DGS
- Knowledge and experience in sensor modelling or perception algorithms
- Familiarity with the automotive industry
- Understanding of Agile methodologies, especially Scrum or Kanban (experience with SAFe is a plus)
- Knowledge of Pandas/Numpy for data analysis
- Experience with Docker
Benefits
- Flexible work approach
- Good work/life balance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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