We are looking for a SoC Performance Verification Manager to join NVIDIA’s Networking Chip Design team! In this hands-on role, you will provide technical leadership and manage the SoC performance verification group across NVIDIA’s next-generation DPUs and SmartNICs. You will own end-to-end pre-silicon performance signoff for the SoC. We are looking for someone who thrives on building high-performing teams, driving execution across multiple parallel projects, and partnering with architecture, microarchitecture, IP, SoC integration, and program management teams to deliver world-class silicon.
What You’ll Be Doing:
- Lead, mentor, and grow a team of verification engineers. Define team structure, hiring plans, and career development paths to build a strong, scalable organization.
- Provide technical leadership in defining and executing the performance verification strategy for sophisticated NIC designs, partnering closely with design, architecture, and modeling teams to identify, analyze, and mitigate performance bottlenecks across the design pipeline.
- Architect and implement reusable testbench infrastructure components and develop targeted test scenarios for full-chip NIC performance verification, drawing on a deep understanding of NIC microarchitecture and traffic flows. Build infrastructure and tooling for efficient performance debugging.
- Develop detailed performance test plans to verify next-generation features.
- Use advanced verification methodologies and tools, including Specman/e and SystemVerilog/UVM.
- Establish and improve design and verification methodologies and best practices. Enable AI workflows to increase team productivity and improve design quality across tape-outs.
What We Need to See:
- A B.Sc. or M.Sc. in Electrical Engineering or Computer Engineering, or equivalent experience.
- 10+ overall years of experience in ASIC/SoC verification, including 3+ years in a people management or technical leadership role overseeing teams of multiple engineers.
- A strong understanding of verification methodologies, including UVM, constrained-random verification, and coverage-driven verification techniques.
- A strong understanding of digital design fundamentals, including RTL coding in Verilog/SystemVerilog, architecture, microarchitecture, and power analysis.
- Demonstrated ability to manage SoC teams while balancing resources, schedules, and quality trade-offs.
- Experience with EDA tools for simulation and debugging.
- The ability to communicate technical status, risks, and trade-offs clearly to engineering leadership and cross-functional partners.
Ways to Stand Out from the Crowd:
- Multiple years of experience verifying the performance of complex designs.
- Experience or a background in networking-related domains.
- Hands-on experience developing fully agentic workflows to improve team processes.
- Experience building or scaling verification infrastructure, including regression frameworks, coverage automation, or CI/CD pipelines for hardware.
We support our people with competitive compensation, health and wellness programs, financial benefits, time away from work, family support, learning opportunities, and resources that help employees do their best work. Benefits may vary by location, role, and eligibility.
NVIDIA is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We consider qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or other protected status. We provide reasonable accommodations for applicants and employees with disabilities.
Skills Required
- Bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience
- 10+ years of overall ASIC or SoC verification experience
- 3+ years in people management or technical leadership overseeing multiple engineers
- Strong understanding of UVM, constrained-random verification, and coverage-driven verification
- Strong understanding of digital design, RTL coding in Verilog/SystemVerilog, architecture, microarchitecture, and power analysis
- Experience managing SoC teams while balancing resources, schedules, and quality trade-offs
- Experience with EDA tools for simulation and debugging
- Ability to communicate technical status, risks, and trade-offs clearly
- Multiple years of experience verifying performance of complex designs
- Networking-related experience
- Experience developing agentic workflows to improve team processes
- Experience scaling verification infrastructure, regression frameworks, coverage automation, or hardware CI/CD pipelines
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
-
Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
-
Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
