
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
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.
🔥 0 minutes ago
🏄 California – Remote
💵 $184k - $287.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
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.
• Building a system that gathers topology related information from multiple sources • Taking data collected to aggregate and normalize the data to make it available for provisioning systems and workload schedulers • Direct contributor in a critical open-source project, Topograph • Interacting with the latest and greatest hardware to ensure new product launches have the most efficient scheduling capabilities
• At least 8 years of relevant experience • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent experience. • Strong production engineering experience in Go or another systems language. • Experience with distributed systems, Kubernetes, Slurm/Slinky, Linux, containers, APIs, and CI. • Ability to design clean interfaces between discovery logic, data models, and scheduler output. • Familiarity with networking, cluster topology, cloud infrastructure, or large-scale compute systems. • Excellent testing, debugging, documentation, and code review habits:
• equity • benefits
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