Software Engineer, Solution Validation, Benchmarking & Release Engineer

Cisco; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cisco in Bengaluru is seeking a Software Engineering Technical Leader to own CVIS/NVIS, AI cluster validation, and end-to-end solution testing across Cisco network-switch solutions.

You will develop test plans, validation matrices, automation, and exit criteria; execute GPU workloads, profile performance, and deliver benchmark reports while ensuring interoperability and robust deployment across platforms.

Qualifications

• Bachelor's degree (or equivalent) with related work experience.
• Experience designing and executing end-to-end validation for GPU or distributed AI systems.
• Proven ability to translate system requirements into measurable tests and release gates.
• Strong technical writing and cross-functional communication skills.
• Familiarity with test strategy, automation, and performance analysis.

Responsibilities

• Own CVIS/NVIS, AI Cluster Validation, end-to-end solution testing, and release qualification.
• Develop test plans, validation matrices, automation, and exit criteria for AI cluster solutions.
• Execute GPU burn, NCCL, workload, resilience, and interoperability test suites.
• Model workloads, profile end-to-end performance, and report bottlenecks and benchmarks.
• Drive defect triage, evidence collection, and acceptance-report packaging.

Skills

Test strategy

Automation

Python

Linux

Performance analysis

Defect triage

Education

Bachelor's degree

Master's degree

Tools

NVIDIA GPU platforms

NCCL

Kubernetes

Slurm

Network testing

Storage validation

Job description

Your Impact

As a Software Engineering Technical Leader, 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.

Meet the Team

Your Impact

As a Software Engineering Technical Leader, 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 + 2 years of related experience, or Masters + 0 years of related 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

• CVIS/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.