Senior DGX Cloud Software Engineer – Infrastructure Automation, Distributed Systems

November 22

🌵 Arizona – Remote

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

⛰️ Colorado – Remote

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

+2 more states

🌵 Arizona – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🤠 Texas – Remote

💵 $168k - $333.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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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

• Design, build, and run cloud infrastructure services in scope to meet our business goals performing integrations, migrations, bringups, updates, and decommissions as necessary. • Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy. • Eliminate toil or automate it where the ROI of building and maintaining automation is worth it. • Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation. • Consult with and provide consultation for peer teams on systems design best practices. • Participate in a supportive culture of values-driven introspection, communication, and self-organization

🎯 Requirements

• Proficiency in one or more of the following programming languages: Python or Go • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience. • 5+ years of relevant experience in infrastructure and fleet management engineering. • Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems at scales requiring fully automated management and under active customer consumption in production. • A track record demonstrating a mix of initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others. • In-depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, Local and Distributed Storage, and Systems Networking.

🏖️ Benefits

• equity • benefits