Cisco—Software Engineer, Solution Validation, Benchmarking & Release Engineer

Job description

Description: 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. Disclaimer To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will: - be in direct response to an application you have submitted through the company career site - begin with screening or an interview - originate from a Cisco email address, and - be conducted across email, phone, or WebEx Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport. If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams. Skills: cvis/nvis, ai cluster validation, gpu debugging, performance profiling, benchmarking, test plan development, automation, python, linux, performance analysis, defect triage, release qualification, gpu burn, nccl, workload modeling, kubernetes, slurm, network testing, software integration validation, technical writing, cross-functional communication, observability, ci-based testing, cisco networking, ai cluster reference architecture