ADAS/ AD - Embedded Software Engineer

Job summary

Ready to Drive the Future? As part of the global Ber*** Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex issues into sustainable, connected solutions.

Qualifications

• This position requires strong technical leadership, hands-on development experience, and the ability to provide architectural guidance to engineering teams.
• Bachelor's Degree in Robotics, Computer Science, Software Engineering, or a related technical field.
• 3–5 years of professional software development experience.
• Strong analytical thinking and conceptual problem-solving
• Master's Degree or PhD in Robotics, Computer Science, or a related field.
• Familiarity with automotive communication standards, including CAN, FlexRay, Ethernet,
• Experience with, GitLab, Jira, Codebeamer.
• Exposure to, ROS/ROS2, DDS, Automotive middleware

Responsibilities

• Develop and cross-compile C/C++ and CUDA applications.
• Create and maintain build pipelines for multiple hardware targets using: TensorRT, cuDNN, CUDA, NVIDIA DriveWorks
• Support optimization and deployment of neural networks on NVIDIA Drive platforms including Orin and Thor.
• Implement hardware-accelerated algorithms for perception, localization, and planning applications.
• Profile, benchmark, and tune GPU and accelerator performance across various driving scenarios.
• Build and maintain CI/CD workflows for cross-compiled ARM64/Linux deployments.
• Develop best practices, technical guidelines, and knowledge-sharing resources for engineering teams.
• Provide architecture guidance and technical leadership across projects.
• Collaborate with cross-functional teams to ensure end-to-end system performance and scalability.
• Perform root-cause analysis, debugging, and resolution of platform-specific software and hardware issues.
• Required

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