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. As part of the team, you'll work on containerized applications, microservices, and infrastructure automation, contributing to NVIDIA's cutting-edge AI inferencing technology. The role combines software development, cloud computing, and AI technologies, making it an excellent opportunity for engineers interested in working at the intersection of these fields. NVIDIA offers a collaborative environment where you'll work alongside experienced engineers while having the chance to impact the future of AI computing. The company is known for being one of the technology world's most desirable employers, with some of the most forward-thinking and creative people in the industry.
Responsibilities For Software Engineer - NIM Production and Automation
- Develop and deploy containerized applications and microservices in Python and Go
- Build and optimize containerized inference execution for AI applications
- Ensure performance and scalability of NIMs through testing and monitoring
- Implement and maintain CI/CD pipelines
- Work with 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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