LLM Application (AV Infrastructure) Intern null

Your Role

Key responsibilities as follows:

• Collaborates with AV engineers and LLM researchers to design and implement LLM-based solutions for AV road event triage, automated regression testing, and data analytics.
• Fine-tunes LLM models for applications like QA Robot support, code generation, and intelligent code checking.
• Develops infrastructure for scalable and efficient LLM deployment, ensuring high performance, security, and reliability.
• Assists in curating, cleaning, and organizing training datasets to enhance model accuracy for AV tasks.
•  Continuously explores AI/ML advancements to improve LLM applications in the AV domain.

About You

Ideal candidates will have:

• A degree in computer science, electrical engineering, or a related field in progress.
• Strong programming skills in Python and experience with AI/ML frameworks like PyTorch or TensorFlow.
• Familiarity with LLM techniques such as prompt engineering, fine-tuning, and transfer learning.
• A solid understanding of machine learning concepts and NLP techniques.
• Experience with data processing pipelines, including data cleaning, transformation, and secure storage.

Benefits

• Competitive salary with potential bonuses, comprehensive healthcare, and other perks.

Training & Development

Opportunities for professional development and mentorship programs to enhance skills and knowledge in AI and autonomous vehicle technologies.

Career Progression

Potential for career advancement in AI and autonomous vehicle sectors, with opportunities to take on more complex projects and leadership roles.

How to Apply

Submit your application with a resume and cover letter detailing your relevant experience and interest in the role. Include any specific instructions provided by NVIDIA for the application process.