Software Engineer - NIM Production and Automation
Job Description
NVIDIA is seeking passionate Software Engineers to join their team building software factory automation and deployed services for NVIDIA Inference Microservices (NIMs). This role focuses on developing and maintaining components that ensure efficient production and deployment of AI models at scale. The position offers hands-on experience with cloud-native technologies, large-scale distributed systems, and AI development lifecycle on thousands of GPUs. The ideal candidate will work on containerized applications, microservices, and automation tools while collaborating with experienced engineers. This opportunity combines cutting-edge AI technology with cloud infrastructure, making it perfect for engineers interested in both AI and scalable systems. NVIDIA's position as a leader in accelerated computing and AI makes this an exceptional opportunity to work on transformative technology. The role offers exposure to the latest developments in AI inferencing while building critical infrastructure that powers NVIDIA's AI services. Working at NVIDIA means joining one of technology's most desirable employers, known for innovation and forward-thinking approaches.
Responsibilities For Software Engineer - NIM Production and Automation
- Develop and deploy containerized applications and microservices supporting NIM production and automation
- Build and optimize containerized inference execution for AI applications
- Ensure performance and scalability of NIMs and automation tools
- Implement and maintain CI/CD pipelines
- Utilize container technologies and orchestration platforms
- Support cloud services enhancement using Infrastructure as Code
- Troubleshoot issues and debug code
- Participate in team discussions and code reviews
Requirements For Software Engineer - NIM Production and Automation
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field
- 2+ years of software development experience
- Solid programming fundamentals in Python or Go
- Experience with version control and testing
- Understanding of containerization and orchestration
- Interest in cloud technologies and distributed systems
- Good communication and collaboration skills
- Familiar with deploying and using AI Models, LLM, VLM
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