
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.
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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.
• Design and develop an automation platform used to provision, configure, and monitor HPC data centers. • Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency. • Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions. • Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations. • Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements. • Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases. • Participate in code reviews, technical design discussions, and continuous improvement activities within the team.
• B.Sc. in Computer Science, Engineering, or a related field (or equivalent practical experience). • 5+ years of strong hands-on experience on Linux-based platforms. • Proficient scripting and automation skills (Bash, Python, Ansible). • Background in DevOps and Network Engineering practices. • Hands-on experience with large-scale network architectures, switches/routers, OVS, SR-IOV, and network operating/management systems. • Networking expertise: Ethernet, VLANs, TCP/UDP/IP, QoS, L2/L3 protocols, BGP, EVPN/VXLAN, and common network topologies. • Practical experience with containers and cloud-native technologies (Docker, Kubernetes) and networking performance. • Experience with version control systems (Git) and CI/CD pipelines. • Independent, fast learner with strong ownership mindset, excellent debugging and problem-solving skills, and effective communication abilities.
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