Lead performance engineering for NVIDIA’s data center platforms, integrating experimentation and software to optimize HPC and AI workloads.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
Poland: 292,500 PLN – 507,000 PLN for Level 4; and 375,000 PLN – 650,000 PLN for Level 5.
Responsibilities
Characterize node, rack, and cluster performance using microbenchmarks and representative applications
Measure throughput, latency, and scaling efficiency to identify compute, memory, communication, and storage bottlenecks
Identify Linux performance problems related to CPU scheduling, NUMA locality, CPU and memory affinity, interrupt handling, and resource contention
Examine distributed workload scaling, considering collective communication, synchronization delays, slow nodes, and the interplay between computation and communication
Combine application profiles, system traces, hardware counters, and cluster telemetry to isolate root causes
Requirements
BS or MS in Computer Science, Engineering, Mathematics, Physics (or equivalent experience)
Design and deploy large-scale HPC and GPU infrastructure and architect scalable AI solutions on OCI, serving as a technical advisor for enterprise customers.
Responsibilities
Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI)
Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes.
Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management.
Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements.
Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through production.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline
Nice to have: Experience with Oracle Cloud Infrastructure (OCI)
Nice to have: Experience with large GPU clusters based on Kubernetes and/or Slurm
Nice to have: Experience supporting AI startups, research organisations, or enterprise AI programmes
Nice to have: Oracle Cloud certifications or equivalent cloud certifications (AWS, Azure, or Google Cloud)
Join Intel's Communications Runtime team and help build the communication software stack powering the world's largest AI and High-Performance Computing (HPC) workloads.
Locations (2)
Hillsboro, Oregon, United States
Austin, Texas, United States
Compensation
Annual Salary Range for jobs which could be performed in the US: $133,410.00-240,710.00 USD
Responsibilities
Design, develop, and optimize collective communication algorithms and runtime capabilities within oneCCL.
Improve scalability, latency, bandwidth utilization, resilience, and overall communication performance across distributed systems.
Lead performance optimization initiatives for multi-node and multi-accelerator AI and HPC workloads.
Investigate and resolve complex system-level performance, reliability, and interoperability issues.
Collaborate closely with hardware architects, software engineers, researchers, open-source contributors, and strategic customers.
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