Data Center Power Test Architect

NVIDIA is hiring a Data Center Power Test Architect in Santa Clara, United States. It pays $168k-$270k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 2,600+ other open roles at NVIDIA.

AI in this role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

We are seeking a highly skilled and hard-working Senior Test Architect to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of our flagship super computers and data center offerings. If you are a dedicated engineer with a deep understanding of data center power systems, and you thrive in an exciting, innovative environment, this could be the flawless role for you!

What You’ll Be Doing:

As a Data Center Power Test Architect at NVIDIA, you will be a key technical leader driving quality and reliability across our next-generation datacenter software and firmware stack. Your work will directly impact NVIDIA's ability to deliver robust, secure, and high-performing solutions for AI, HPC, and cloud-scale systems. You will:

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.

What we need to see:

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.

Ways To Stand Out From The Crowd:

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

#SDETSChiring

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 270,250 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Data Center Power Test Architect at NVIDIA rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.