AI Compute Performance Engineer

Cisco Systems, Inc.; Milpitas (CA); On-site; USD 155,000 - 223,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with Cisco matching

Paid parental leave

Paid time off (holidays, vacation)

Cisco stock units grants

Job summary

Cisco Systems, Inc. is seeking a Software Engineer to optimize AI compute workloads across hardware, system software, and applications. You will run AI training, inference, and HPC experiments on GPU-accelerated systems and collaborate with hardware and software teams to resolve performance issues.

The role emphasizes automation, performance analysis, and thorough documentation of findings and procedures. Strong Linux skills and experience with AI/ML workloads are required.

Qualifications

• Bachelor's degree with 5+ years of related experience, or Master's degree with 3+ years of related experience, or PhD with relevant research experience, or equivalentrelated workexperience.
• Experience debugging, testing, or tuning Linux-based systems.
• Experience running or evaluating AI, machine learning, or HPC workloads.
• 3+ years of experience with a programming or scripting language such as Python, C, C++, Go, or Bash.

Responsibilities

• Run and analyze AI training, inference, and HPC workloads on GPU-accelerated systems.
• Investigate compute, memory, PCIe, storage, and workload scaling issues.
• Use telemetry, logs, traces, and profiling tools to identify performance bottlenecks.
• Develop automation for performance testing, regression detection, and failure triage.
• Work with hardware and software teams to resolve system and workload performance issues.
• Document findings, test procedures, and performance results.

Skills

Python

C

C++

Go

Bash

Linux debugging

Kubernetes

Slurm

Education

Bachelor's degree

Master's degree

PhD

Tools

Nsight

DCGM

rocprofiler

NVIDIA NVLink

Job description

Cisco Systems, Inc. is seeking a Software Engineer to optimize AI compute workloads across hardware, system software, and applications. You will run AI training, inference, and HPC experiments on GPU-accelerated systems and collaborate with hardware and software teams to resolve performance issues.

The role emphasizes automation, performance analysis, and thorough documentation of findings and procedures. Strong Linux skills and experience with AI/ML workloads are required.