Senior Hardware Validation Engineer

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers.

It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.

• Own validation coverage, technical risk, issue prioritization, and release-readiness recommendations from initial board bring-up through system integration and production release.
• Independently debug complex electrical, functional, performance, and reliability issues. Define experiments, collect evidence, isolate root causes, verify corrective actions, and establish regression coverage.
• Validate power delivery, tune system power-management control loops, and verify high- and low-speed interfaces such as PCIe, I2C, SPI, SMBus, and USB.
• Lead multi-functional investigations involving board bring up, silicon, firmware stack, thermal, mechanical, and manufacturing teams, driving issues to verified closure.
• Review schematics and PCB layouts, provide actionable design feedback, and influence next-generation products based on validation findings.
• Develop diagnostics, automation, and data-analysis tools that improve validation coverage, reproducibility, and root-cause efficiency.

• Own validation coverage, technical risk, issue prioritization, and release-readiness recommendations from initial board bring-up through system integration and production release.
• Independently debug complex electrical, functional, performance, and reliability issues. Define experiments, collect evidence, isolate root causes, verify corrective actions, and establish regression coverage.
• Validate power delivery, tune system power-management control loops, and verify high- and low-speed interfaces such as PCIe, I2C, SPI, SMBus, and USB.
• Lead multi-functional investigations involving board bring up, silicon, firmware stack, thermal, mechanical, and manufacturing teams, driving issues to verified closure.
• Review schematics and PCB layouts, provide actionable design feedback, and influence next-generation products based on validation findings.
• Develop diagnostics, automation, and data-analysis tools that improve validation coverage, reproducibility, and root-cause efficiency.

• BSEE/BSCE or equivalent experience
• 5+ years of validation experience
• Strong understanding of digital design, circuit design and analysis, computer architecture and CPU/GPU architecture.
• Validation experience with board bringup, lab debug and lab tools (oscilloscopes, multimeters, logic analyzers).
• Excellent design, debugging and problem-solving skills, with a strong bias for action, quality and engineering excellence.
• Strong Linux experience, including command-line debugging, system log analysis, and developing diagnostic and test-automation tools using Python, Shell, Perl, or similar scripting languages
• Experience with ARM CPU architecture and hardware validation.

• Validation and root-cause experience with GPU, CPU, SoC, or accelerated-computing platforms as well as deep knowledge of power electronics, power transistors, control systems, PID tuning, power monitoring, or rail-sequencing analysis.
• Experience taking datacenter hardware from early bring-up through server, rack, and production deployment.
• Understanding of rack-level power, cooling, networking, storage, cabling, and system-topology interactions.
• Experience debugging intermittent, workload-dependent, thermal, performance, or scale-related failures that cross multiple engineering domains.
• A track…