NVIDIA is looking for a Senior Systems Software Test Engineer to join the Cloud Service Provider Engagements team. This role focuses on validating the ML software stack for Datacenter products and involves both technical expertise and customer-facing responsibilities. The engineer will work on full-stack validation from hardware to software, ensuring high-performance training and inference platforms. The position requires collaboration with various teams and partners to drive quality and readiness of software solutions.

• 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 experience debugging issues across hardware, firmware, software, networking, and infrastructure layers.
• Ability to analyze logs, telemetry, diagnostic outputs, automation failures, and system health signals.
• Familiarity with Linux environments, shell scripting, Python or similar automation, and CI/regression workflows.
• Strong cross-functional communication skills with QA, development, field, support, and customer engineering teams.
• Proficient in Python with a strong background in test automation and test infrastructure design.
• BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
• 8+ years of system software validation experience.

• Define test strategy and test validation plans for CSP integration milestones.
• Reproduce, characterize, and triage customer bugs in the customer environment.
• Review internal test plans, test results, and publish summary test reports for each release.
• Validate fixes, mitigations, and release updates against deployed CSP software modules.
• Partner with NVIDIA development teams to drive root-cause analysis and confirm release readiness.
• Collaborate with CSP teams on provisioning, access, break-fix workflows, and environment readiness.
• Manage large datasets of testing output and develop tooling for efficient retrieval of debug data.
• Work with customers to localize problems using targeted reproduction steps.
• Run performance benchmarks for both training and inference.
• Collaborate with AE, FAE, and Solution Architect teams on validation for customer issues.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.