GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
October 7
πΊπΈ United States β Remote
π΅ $180k - $339.3k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
π½ H1B Visa Sponsor
GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
β’ Architect and lead the build-release continuous integration processes of Generative AI framework and libraries related to NeMo framework and Megatron Core β’ Propose, implement, and deploy efficient and scalable DevOps solutions to allow our fast growing team to release software more frequently while maintaining high-quality and top performance β’ Work with industry standard tools (Kubernetes, Docker, Slurm, Ansible, GitLab, GitHub Actions, Jenkins, Artifactory, Jira) β’ Assist with cluster operations and system administration (managing: servers, team accounts, clusters) β’ Automate away recurring tasks (DL algorithm accuracy and performance regression detection, designing and developing new quality control measures, e.g. code analysis) β’ Work closely with DL framework and libraries (CUDA, cuDNN, cuBLAS) team and with other relevant teams within NVIDIA that provide software build, testing, and release related infrastructure
β’ BS or MS degree in Computer Science, Computer Architecture or related technical field or equivalent experience β’ 5+ years of industry experience in infrastructure engineering, DevOps β’ Strong system level programming in languages like Python and shell scripting β’ Strong understanding of build/release systems, CI/CD and experience with solutions like Gitlab, Github, Jenkins etc β’ Experience with Linux system administration β’ Proficient with containerization and cluster management technologies like Docker and Kubernetes β’ Experience in build tools, including Make, Cmake β’ Experience using or deploying source code management (SCM) solutions such as GitLab, GitHub, Perforce, etc β’ Excellent problem-solving and debugging skills β’ Great teammate who can collaborate and influence in a dynamic environment with excellent interpersonal and written communication skills
β’ Eligible for equity and benefits
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πΊπΈ United States β Remote
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β° Full Time
π Senior
π€ Machine Learning Engineer