
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.
🔥 0 minutes ago
🏄 California – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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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.
• Lead the overall architecture and design of a distributed storage service optimized for AI/ML • Develop and maintain distributed, robust, and scalable Go programs deployed to open-source ecosystems including Kubernetes • Develop and maintain user-space applications, containers, Go bindings, and CLI tools • Build features for a distributed storage service to enhance availability and reliability for large-scale deployments • Engage and collaborate with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver cloud services • Automate the distributed storage service end-to-end, including deployment, management, and monitoring
• Bachelor’s of Science in Computer Science, or related field (or equivalent experience) • 8+ years of industry experience • Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations • Strong track record of delivering distributed services in a variety of distributed computing environments • Experience implementing storage services and interfaces for scalable, high-performance, and reliable solutions • History of ownership of product delivery from inception to support • Experience developing and maintaining enterprise software • Experience deploying, managing, and debugging applications in a Kubernetes environment • Great communication and presentation skills • Experience architecting, building, and deploying distributed services on large-scale clusters is a standout qualification • Experience owning all lifecycle stages of software development and delivery is a standout qualification • Interest and skill in accelerated computing environments such as GPU Direct Storage, DPU, and RDMA, and cloud services focused on distributed systems is a standout qualification
• Equity • Benefits
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