Data Center Power Test Architect

NVIDIA•Santa Clara, CA

5d•$168,000 - $322,000

About The Position

NVIDIA is seeking a highly skilled and hard-working Senior Test Architect to join their multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of NVIDIA's flagship super computers and data center offerings. The ideal candidate will be a dedicated engineer with a deep understanding of data center power systems, thriving in an exciting, innovative environment. As a Data Center Power Test Architect at NVIDIA, you will be a key technical leader driving quality and reliability across next-generation datacenter software and firmware stacks. Your work will directly impact NVIDIA's ability to deliver robust, secure, and high-performing solutions for AI, HPC, and cloud-scale systems.

Requirements

B.S./M.S./PHD in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent experience).
10+ years of experience in data center power enablement related to software/firmware testing, with a focus on telemetry and power efficiency across systems
Strong knowledge of system architecture, power shelf, baseboard management, hardware and software power features, industry power standards, system interfaces, and embedded controllers.
Proven experience designing test frameworks and infrastructure in Python, C/C++, or similar languages.
Expertise with platform standards for security, telemetry and manageability (NIST, DMTF, OCP)
Hands-on experience with server platform, network, storage, cluster configuration and debugging.
Background with platform telemetry, datacenter node lifecycle management/support including CPU/GPU workloads.
Proficiency in scripting languages such as Python.
Expertise in administering, operating, and configuring Kubernetes and Envoy.
Validated experience in Continuous Integration/Continuous Delivery (CI/CD) tools such as Gitlab and Jenkins and the GitOps model.
Experience with lab automation, simulation, HW-in-the-loop testing, and CI/CD pipelines (e.g., Jenkins, GitLab).
Strong debugging, problem-solving, and analytical skills.
Excellent communication and collaboration skills; experience working in a globally distributed team is a plus.

Nice To Haves

Experience with NVIDIA platforms (e.g., DGX, HGX, Grace Hopper systems).
Exposure to security validation, compliance (e.g., FIPS, BMC security), or thermal/power validation.
Prior role as a test architect or technical lead for large-scale datacenter enablement or firmware validation programs.
Contributions to open-source testing tools or frameworks with strong knowledge of cloud-scale validation, infrastructure automation, or virtualization.
Prior experience with using AI tools to create agents, design test plans, identify test gaps, automation and failure analysis

Responsibilities

Define End-to-End Test Strategy: Own and drive the overall test architecture and validation strategy for power features across multiple NVIDIA platforms—from pre-silicon simulation and emulation to post-silicon bring-up and production readiness.
Develop test plans aligned with product deliverables and customer use cases.
Work closely across teams to ensure comprehensive test coverage.
Influence early design decisions to optimize testability and automation readiness.
Architect Scalable Test Infrastructure: Design and implement modular, reusable test frameworks and automation harnesses that support functional, integration, stress, regression, power, security, and performance testing.
Ensure test infrastructure scales efficiently across hundreds of systems in parallel.
Own Data Center Power Quality Metrics: Define quality KPIs such as code coverage, system uptime, bug escape rate, and validation completeness.
Establish dashboards and reporting mechanisms to track progress and drive data-driven decision-making.
Drive Root Cause Analysis and Debugging: Lead complex issue investigations that span firmware, software, and hardware layers.
Develop and document debug methodologies and tools to improve diagnosis efficiency across the team.
Innovate in Lab Automation and CI/CD: Partner with DevOps and infrastructure teams to enhance test automation pipelines, integrate continuous testing into nightly and pre-merge workflows, and ensure fast and reliable release qualification.
Enable Productization and Customer Readiness: Validate real-world use cases, customer configurations, and production scenarios.
Contribute to release gates and sign-off criteria to ensure firmware is ready for deployment in systems critical to the mission.
Mentor, Lead, Explore and Adopt Emerging Technologies: Serve as a technical mentor and coach to software QA engineers and junior test developers.
Foster a culture of quality, innovation, and continuous learning across the organization.
Stay up to date on trends in embedded validation, test automation frameworks, and industry standards.
Champion the adoption of new tools, methodologies, and standards to raise the quality bar.
Boost Team Efficiency with AI: Demonstrate proven experience using AI-powered tools and copilots to accelerate test development, automate repetitive validation workflows, and streamline debug and root cause analysis.