Performance Engineer

Responsibilities

• Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers
• Profile workloads across CPU, memory, I/O, network, and accelerator subsystems to identify bottlenecks
• Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows
• Drive proactive performance improvements including kernel subsystem tuning and user space library optimizations
• Optimize for AI inference and training workloads, including LLM serving and accelerator utilization
• Tune performance for HPC workloads including MPI, OpenMP, and parallel filesystems
• Collaborate with engineering teams to root-cause regressions in upstream kernel changes or library modifications

Requirements

• Deep understanding of Linux kernel internals (scheduler, memory, I/O, networking)
• Hands-on expertise with profiling tools like perf, eBPF, Flamegraphs, VTune, or Nsight
• Strong background in AI/ML workload performance and GPU/accelerator utilization
• Experience with HPC workloads, MPI, OpenMP, and job schedulers like Slurm
• Experience building automated performance testing pipelines in CI/CD environments
• 15+ years of industry experience in systems performance engineering or OS development
• PhD in Computer Science or related field strongly preferred

Preferred Qualifications

• Experience with open-source ecosystems and Linux kernel contributions
• Background with cloud-native, containerized, or HPC computing environments
• Familiarity with modern AI-first development workflows and LLM-based tools

Benefits

• Medical, dental, and vision insurance
• Flexible paid time off
• Employee stock options
• Remote work environment