NVIDIA's Silicon Co-Design Group is seeking a versatile engineer to innovate low-power silicon validation and system bring-up for next-generation AI and accelerated computing platforms. The team focuses on integrating silicon architecture, platform validation, and productization to enhance power efficiency and stability. This role emphasizes scaling low-power validation through AI-powered analytics and intelligent automation. The engineer will play a crucial part in transforming validation methodologies and workflows across product generations.

• BS/MS in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or equivalent experience.
• 10+ years of experience in silicon characterization, low-power feature validation, system integration, or post-silicon productization.
• Strong understanding of silicon power behavior, Windows/Linux low-power states, firmware interactions, and system-level validation methodologies.
• Experience building scalable automation, telemetry analytics, or AI-assisted engineering workflows for silicon validation.
• Strong fundamentals in electrical engineering, including digital design, computer architecture, power analysis, and scripting/programming skills.
• Hands-on experience with silicon bring-up, lab validation, debug methodologies, and hardware lab instrumentation.
• Familiarity with AI/LLM-assisted engineering workflows, intelligent automation frameworks, and telemetry analytics.

• Define the Power & Performance validation strategy across product lines.
• Build intelligent workload characterization frameworks using telemetry and AI-assisted analytics.
• Define the instrumentation, counters, telemetry frameworks, and firmware hooks for scalable silicon observability.
• Bring up and validate system-level low-power features in pre-silicon and post-silicon environments.
• Develop AI/ML-assisted infrastructure for telemetry analysis and predictive validation analytics.
• Partner with architecture, firmware, and system integration teams to build scalable validation pipelines.
• Support manufacturing and customer-facing teams in resolving production and feature issues.
• Drive low-power feature readiness from early architecture definition through silicon bring-up and product release.

• 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.