Software Engineer

Task: Test SDK (software development kit) by documentation, run examples, write a report on what was hard/normal/easy, give recommendations for improvement.

Requirements:

- Proficiency in Python, with a solid understanding of object-oriented programming principles.

- Experience working with Linux operating systems, advanced CLI user.

- Proficiency in Bash scripting for automation and task management.

- Experience with Git for version control and collaborative development.

- Experience with Docker for containerization and deployment of applications.

- Hands-on experience running Large Language Models (LLMs) on-premise.

- Proficiency in utilizing NVIDIA GPUs to accelerate model inference and training processes.

Preferred Qualifications:

- Experience with NVIDIA’s TensorRT-LLM or similar frameworks to optimize and deploy LLMs efficiently.

- Familiarity with Kubernetes for orchestrating containerized applications in a clustered environment.

Additional Technical Skills:

- Familiarity with machine learning frameworks such as PyTorch.

- Understanding basic modern ML and DL concepts and Neural Networks architectures.