Senior MLOps Engineer, GenAI Framework

Job not on LinkedIn

November 14

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $148k - $235.8k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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NVIDIA

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Architect and manage the continuous integration pipelines and release processes of our Generative AI framework and libraries related to Megatron-LM and NeMo Framework. • Design and implement efficient and scalable DevOps solutions to allow our fast growing team to release software more frequently while maintaining high-quality and maximum performance. • Work with industry standard tools (Kubernetes, Docker, Slurm, Ansible, GitLab, GitHub Actions, Jenkins, Artifactory, Jira) in hybrid on-premise and cloud environments. • Assist with cluster operations and system administration (managing: servers, team accounts, clusters). • Accelerate research and development cycles by automating recurring tasks such as accuracy and performance regression detection. • Developing new quality control measures, e.g. code analysis, backwards compatibility, and regression testing, while employing and advancing best-practices. • Work closely with DL frameworks and libraries (CUDA, cuDNN, cuBLAS, and PyTorch) teams and with other engineering teams within NVIDIA that provide software, testing, and release related infrastructure.

🎯 Requirements

• BS or MS degree in Computer Science, Computer Architecture or related technical field (or equivalent experience) and 3+ years of industry experience in DevOps and infrastructure engineering. • Strong system level programming in languages like Python and shell scripting. • Extensive understanding of build/release systems, CI/CD and experience with solutions like Gitlab, Github, Jenkins etc. • Experience with Linux system administration. • Proficient with containerization and cluster management technologies like Docker and Kubernetes. • Experience in build tools, including Make, Cmake. • A strong background in source code management (SCM) solutions such as GitLab, GitHub, Perforce, etc. • Well-versed problem-solving and debugging skills. • Great teammate who can collaborate and influence others in a dynamic environment. • Excellent interpersonal and written communication skills.

🏖️ Benefits

• equity • benefits