Workload Porting & Performance Engineer

Stack

Responsibilities

• ▹Port and enable benchmarks and real-world workloads on new hardware platforms
• ▹Evaluate system performance across compute, memory, storage, and networking subsystems
• ▹Identify and analyze performance bottlenecks and inefficiencies
• ▹Adapt and optimize workloads to better utilize hardware capabilities
• ▹Develop and run performance experiments and profiling workflows
• ▹Compare expected vs. observed performance, feeding back to architecture and modeling teams
• ▹Debug issues across software, runtime, and hardware interactions

Requirements

• ▹Experience with performance analysis, benchmarking, or workload optimization
• ▹Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems
• ▹Experience porting or adapting workloads across different hardware platforms
• ▹Familiarity with profiling tools and performance debugging techniques
• ▹Ability to identify root causes of performance issues across hardware/software boundaries
• ▹Experience working in large-scale or distributed system environments

Nice to have

• ▹Experience with AI/ML workloads, including training or inference systems
• ▹Familiarity with GPU or accelerator-based systems
• ▹Experience with low-level performance tools (profilers, tracing, microbenchmarks)
• ▹Background in systems software, compilers, or runtime optimization

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As an equal-opportunity employer, it pushes the boundaries of AI capabilities while keeping safety and human needs at the core of its work, and values the diverse perspectives and experiences that reflect the full spectrum of humanity.