Senior Software Engineer, Solution Validation, Benchmarking & Release Engineering

The application window is expected to close on: 11/29/2026

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 Senior Software Engineer, you will own CVIS/NVIS, AI Cluster Validation, end-to-end solution testing, RA certification, GPU debugging, performance profiling, bottleneck analysis, acceptance criteria, test plan and automation, release qualification, and readiness across AI cluster and Cisco network-switch solutions. You will:
Develop test plans, validation matrices, automation, and exit criteria for AI cluster solutions. Execute CVIS/NVIS, AI Cluster Validation, GPU burn, NCCL, workload, resilience, and interoperability test suites. Model workloads, profile end-to-end performance, analyze bottlenecks, and produce benchmark reports. Validate Cisco network-switch, multi-plane, ToR, compute, storage, and software integrations. Drive defect triage, evidence collection, release qualification, RA certification, and acceptance-report packaging.

Minimum Qualifications:

Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PHD +1 year of related experience, or equivalent related work experience. Experience building and executing end-to-end validation for GPU or distributed AI systems.

Experience with test strategy, automation, Python, Linux, performance analysis, and defect-triage skills. Prior experience translating system requirements into measurable tests, acceptance criteria, and release gates.

Experience with technical writing and cross-functional communication.

Preferred Qualifications:

NVIS, NVIDIA GPU platforms, NCCL, Kubernetes, Slurm, network testing, and storage validation. Benchmark engineering, workload modeling, CI-based testing, observability, and release management.

Experience with Cisco networking and AI cluster reference architectures. Why Cisco? 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. Message to applicants applying to work in the U.S. and/or Canada:

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…