Senior Validation Technical Program Manager Logical Deployment
Nscale is a London-based, full-stack AI cloud and infrastructure company that provides GPU compute, managed AI services, orchestration software, data centers, and power infrastructure for AI training, fine-tuning, and inference.
Funding history
About Nscale
Nscale builds and operates vertically integrated AI infrastructure spanning software, GPU compute, networking, storage, purpose-built data centers, and power. Its active cloud platform offers self-service inference endpoints, fine-tuning, managed Kubernetes and Slurm, virtual machines, and GPU clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will convert customer acceptance criteria into cluster-scale test plans, run and track validation, investigate results, and coordinate fixes with engineering and OEM partners. You will produce evidence-based acceptance reports, support customer sign-off, and improve reusable test suites and reporting automation.
Requirements
- 7-10+ years in software validation, test engineering, or QA for infrastructure or distributed systems.
- Experience building and running test frameworks and debugging test output.
- Python and Bash scripting skills.
- Knowledge of GPU cluster validation, including NCCL, HPL, DCGM diagnostics, and burn-in.
- Knowledge of InfiniBand or RoCE networking, storage testing, bandwidth, latency, and throughput.
- Experience translating requirements into test plans with pass/fail evidence.
- Ability to travel up to 50%.
Responsibilities
- Translate customer acceptance criteria into test plans and pass thresholds.
- Agree validation plans with customers and engineering teams.
- Maintain traceability from acceptance criteria to test evidence.
- Drive cluster-wide performance, interconnect, storage, stability, and burn-in validation.
- Track validation status and coordinate test windows.
- Read raw test output and investigate anomalous results.
- Write or modify scripts, test harnesses, and data-collection steps.
- Triage failures with evidence and drive them to closure.
- Re-run tests and verify fixes.
- Produce acceptance reports and brief customers and leadership.
- Improve validation playbooks, test suites, and automation.