
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.
🔥 1 minute ago
🌐 Poland, Switzerland, +2 more countries – Remote
💵 zł292.5k - zł650k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
👻 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 hands-on analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads • Ensure high availability and efficiency across customer data centers • Serve as a senior technical authority on NVIDIA technologies • Contribute to architecture reviews and guide infrastructure decisions at scale • Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation • Detect bottlenecks and improve infrastructure resiliency • Participate in post-deployment reviews and incident retrospectives • Provide insights into NVIDIA’s infrastructure strategy and help shape the customer experience • Complete and lead complex technical projects from initial design through implementation and continuous improvement • Ensure alignment to SLAs and mitigation of technical risks • Identify AI infrastructure opportunities in cloud and enterprise environments • Drive technical initiatives showcasing NVIDIA’s leadership • Interact with customers, partners, and internal teams on large-scale Networking, System Design, and Automation projects
• 10+ years of experience in large-scale data center service operations with a focus on infrastructure • BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields • Strong analytical, problem-solving, and decision-making skills • Strong communication, time management, and organizational skills • Preferred certifications in data center, server, or networking technologies • Proficiency in system-level aspects, including Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture • Expertise in cloud orchestration software and job schedulers, including Kubernetes, Docker Swarm, and Slurm • Familiarity with cloud-native technologies and integration with traditional infrastructure • Deep familiarity with AI infrastructure and workflows, including training/inference pipelines, MLOps/DevOps tools, containerization, and large-scale system deployments • Knowledge of data center infrastructure operations, including safety, security, environmental controls, and standard operating procedures • Ability to lead discussions, influence outcomes, and build positive relationships with internal and external collaborators
• Willingness to travel up to 25% for customer engagements and team collaboration
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