The Senior AI Systems Engineer (M/F) will be responsible for:
- Designing and developing AI system solutions to support clients' AI technology infrastructure.
- Optimizing and deploying machine learning models using NVIDIA GPU computing technologies, such as TensorRT and CUDA.
- Architecting scalable and efficient systems to ensure seamless integration and performance.
- Implementing and managing containerized applications with Docker and Kubernetes.
- Collaborating with cross-functional teams to address complex technical challenges and develop innovative solutions.
- Providing mentorship and guidance to junior engineers, fostering a collaborative and growth-oriented environment.
- Troubleshooting and resolving system issues to ensure high reliability and performance.
Profil recherché
The successful candidate for the Senior AI Systems Engineer (M/F) role must possess the following credentials and experience:
- 5-7 years of experience in software development or systems engineering with a focus on AI/machine learning.
- Proficiency in Python or C/C++ programming.
- Extensive experience with NVIDIA GPU computing, including TensorRT and CUDA.
- Strong knowledge of systems architecture and networking.
- Hands-on experience with Docker and Kubernetes.
- Excellent problem-solving skills and the ability to work both collaboratively and independently.
