NVIDIA seeks a Senior Software Engineer - Multi Agent Systems to be part of our Autonomous Vehicle (AV) Infrastructure team. As a key member of our infrastructure engineering group, you will construct, develop, and support reliable backend systems. You will handle LLM-based Multi Agent Systems / Applications addressing concrete challenges in autonomous vehicle technology. This opportunity requires sophisticated expertise in systems engineering coupled with applied LLM technology experience. You will build scalable infrastructure and implement novel AI features. You'll engage with forward-thinking AI innovations that are instrumental in shaping the future of autonomous driving.

What You'll Be Doing:

• Develop and deploy scalable LLM-based Multi Agent Systems to speed up AV development cycles. This includes automatically debugging AV road events, crafting test cases, and extracting insights from extensive road data.

• Fine-tune LLM models for various applications such as Agent handoff, Triage assistant, Event mining, and intelligent code checking, etc.

• Develop infrastructure to support scalable and efficient LLM deployment, ensuring high performance, security, and reliability.

• Assist in curating, cleaning, and coordinating training datasets to improve model accuracy and relevance for AV-related tasks.

• Continuously research progress in AI/ML technologies to advance the capabilities of LLM applications within the AV domain.

What We Need to See:

• PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field.

• 3+ years of relevant software development experience.

• Solid programming abilities in Python accompanied by experience working with AI/ML frameworks (e.g., PyTorch).

• Familiarity with LLM techniques such as prompt engineering, fine-tuning, transfer learning, vector databases, and RAG.

• Proven understanding of machine learning concepts (e.g., supervised learning, deep learning) and NLP techniques.

• Experience with data processing pipelines: data cleaning, transformation, labeling, and secure storage.

Ways to Stand Out from the Crowd:

• Practical experience in deploying Multi Agent Systems or LLM applications in a production environment.

• Experience building microservices or working with cloud-based infrastructure (e.g., AWS, GCP).

• Familiarity with automated testing frameworks, Agent validation, knowing AgentOps is a big plus.

• Knowledge of SQL & NoSQL databases for managing large datasets efficiently.

• Knowledge of autonomous vehicle technology or experience working with large-scale sensor or road data is a plus.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/