NVIDIA
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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.
Senior Systems Software Engineer, Kubernetes Scale
đ June 25
đ Poland, Germany, +3 more countries â Remote
đľ zĹ292.5k - zĹ650k / year
â° Full Time
đ Senior
đ Backend Engineer
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NVIDIA
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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.
đ Description
⢠Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack ⢠Collaborate with AI researchers to develop automated tests simulating real user workloads ⢠Investigate and resolve root causes of performance issues in distributed systems ⢠Design monitoring and analysis tools for performance testing across software, GPU, and CPU resources ⢠Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale ⢠Build and maintain CI/CD framework for continuous performance testing ⢠Document research methodologies and present findings at conferences ⢠Engage with upstream communities to validate performance of AI workloads
đŻ Requirements
⢠8+ years of experience ⢠Expertise in Kubernetes and familiarity with related CNCF projects ⢠Background in Computer Architecture, Networking, Storage systems, Accelerators ⢠Bachelor's/Master's in Engineering (Electrical Engineering, Computer Engineering, or Computer Science) ⢠Experience optimizing performance and AI workloads on large scale systems ⢠Proficiency in Golang/Python ⢠Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI)
đď¸ Benefits
⢠Health insurance ⢠Retirement plans ⢠Paid time off ⢠Flexible work arrangements ⢠Professional development
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