Software Engineer, Compute

The application window is expected to close on: 10/10/2026

Meet the Team

Cisco Validated Infrastructure Services (CVIS) establishes and proves the performance of large AI clusters before they are handed over to customers. We deploy each cluster, validate it against performance baselines, and deliver the evidence that it is ready for service.

The platform behind that work is full stack. It combines workflow and API services, network and infrastructure automation, and the UI used to run validation across labs and customer environments.

Your Impact

As a Software Engineer, you will help analyze and improve the performance of AI compute systems across hardware, system software, and application workloads. In this role you will:

• 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.

Minimum 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 equivalent related work experience.

• 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.

Preferred Qualifications

• Familiarity with GPU computing technologies such as CUDA, ROCm, NCCL, or RCCL.

• Familiarity with performance tools such as Nsight, DCGM, rocprofiler, or similar tools.

• Understanding of GPU system components such as memory, NUMA, PCIe, and scale-up interconnects.

• Exposure to NVIDIA NVLink and NVSwitch or AMD Infinity Fabric/xGMI.

• Experience with Kubernetes, Slurm, or other distributed workload environments.

• Strong ownership, documentation, and cross-team collaboration skills.

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which…