Cloud Services Software Engineer

🔥 1 minute ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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.

📋 Description

• Develop and optimize AI infrastructure services for DGX Cloud • Develop solutions at the intersection of machine learning, distributed systems, and high-performance computing • Design, develop, and optimize microservices orchestrated by Kubernetes for large-scale AI training workflows on AI training supercomputers at major cloud service providers • Co-design and implement APIs integrating services with NVIDIA's resiliency stacks, including telemetry, break/fix automation, checkpoint, and execution systems • Create a submission abstraction for long-running training jobs, handling infrastructure failures, auto-restarts, job lifecycles, efficiency, and user advisories • Build modular services deployable onto on-premises AI clusters using NVIDIA hardware and cloud services • Enhance infrastructure and products underpinning NVIDIA's AI platforms

🎯 Requirements

• A Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience) • 5+ years of hands-on experience in backend development, preferably with Python, Go, C/C++, or similar high-performance languages • Consistent track record of building and scaling large-scale distributed systems • Experience with cloud computing platforms such as AWS, Azure, and GCP • Experience with container technologies like Docker and Kubernetes • Experience with HPC/AI platforms such as Slurm • Real world experience in DL frameworks, orchestrators like PyTorch, TensorFlow, JAX, and Ray • Experience in developing a framework plugin architecture that allows the framework to be integrated with the cluster scheduler visibly to the users • Strong understanding of NVIDIA GPUs, network technologies, and their failure patterns • Experience with AI models and AI based tools • Provide references to your code contributions

🏖️ Benefits

• Equity • Benefits