Senior Systems Software Engineer – EDA Infrastructure

🔥 0 minutes ago

🏄 California, North Carolina, +3 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 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

• Design, build, deploy, and run infrastructure services and manage the software lifecycle to meet business goals • Build and maintain automation to eliminate manual toil and scale output without scaling effort • Participate in defining internal-facing service level objectives and error budgets as part of the observability strategy • Practice sustainable blameless incident prevention and incident response • Participate in an on-call rotation • Consult with peer teams on systems design best practices

🎯 Requirements

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience • Experience coding in Python and/or Go • Ability to produce code without AI assistance during the interview process • Experience with infrastructure automation and distributed systems design • Experience developing tools for running large scale private or public cloud systems in production • In-depth knowledge of Linux systems and Containers • 8+ years of relevant experience • Experience with networking and storage technologies • Experience with Continuous Integration and/or workflow engines • Experience with duplicating or emulating complex production infrastructure into staging/test environments • Experience working with or developing bare metal as a service (BMaaS) associated systems • Experience with multi-cloud infrastructure services and private or public cloud systems based on Kubernetes, OpenStack, Docker or Slurm • Experience working with Nvidia GPU-based systems

🏖️ Benefits

• Equity • Benefits