$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is hiring a senior test engineer to validate ML software stacks on datacenter hardware across cloud providers, working from lab through customer deployment to ensure system stability and performance. This role suits someone with deep cluster-to-software debugging experience who enjoys both technical problem-solving and cross-team collaboration.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 8+ years of system software validation experience
- Experience in validation, QA, system test, diagnostics, platform bring-up, or release qualification for complex hardware-software systems
- Strong understanding of server platforms, firmware, drivers, OS integration, networking, and large-scale cluster environments
- Hands-on debugging across hardware, firmware, software, networking, and infrastructure layers
- Log analysis and telemetry interpretation skills
- Linux environments and shell scripting proficiency
- Python proficiency with test automation and test infrastructure design background
- BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience)
- Cross-functional communication with QA, development, field, support, and customer engineering teams
Nice to have
- Cloud and cluster-level deployment and MLOps experience
- Experience running deep learning workloads and related automation