We are seeking a Lead Performance Modeling Engineer to guide our performance architecture team. You will act as the primary architect for performance models covering next-generation cache hierarchies and I/O coherent interconnects. These models will scale from Automotive to Data Center platforms. You will guide a group of top-performing engineers, converting high-level product requirements into actionable architectural specifications and ensuring our silicon delivers industry-leading performance-per-watt. As a technical lead, you will balance individual technical contributions with team mentorship and multi-functional strategy.
What you'll be doing:
Defining the long-term vision for our modeling infrastructure, choosing between cycle-accurate, analytical, and stochastic modeling approaches to meet project achievements.
Leading a team of modeling engineers, offering in-depth technical mentorship, conducting code/architecture reviews, and encouraging a culture of rigorous data-driven decision-making.
Act as the primary liaison between Architecture, RTL Build, and Software teams to resolve complex performance bottlenecks and trade-offs.
Drive the adoption of advanced modeling methodologies (e.g., hybrid emulation/simulation, AI-based performance optimization) to accelerate the build cycle.
Allocate simulation workloads and engineering efforts across several simultaneous projects in the automotive and data center sectors.
What we need to see:
A Master’s or Ph.D. in Computer Engineering or a related field (or equivalent experience), with 8+ years of experience in high-performance silicon architecture.
Extensive experience managing technical teams or complex projects in the field of performance modeling or computer architecture.
Proficiency in cache coherency protocols (e.g., AMBA CHI, MESI), memory sub-systems, and high-speed interconnect fabric build.
Significant experience building and architecting large-scale simulators in C++ or SystemC, with a focus on modularity and simulation speed.
A track record of using statistical analysis to validate model accuracy against RTL or silicon and the ability to explain complex performance "cliffs" to executive collaborators.
Ways to stand out from the crowd:
Full-Stack Performance Experience: You have seen the entire lifecycle of an interconnect—from a whiteboard sketch and C++ model to RTL integration and post-silicon performance tuning.
Standardization Influence: Active participation in industry bodies (e.g., CXL Consortium, Arm ecosystem committees) or a history of published architectural research.
Scalability Expertise: You have a proven record of addressing the outstanding challenges of both low-latency, safety-critical clusters and massive, high-bandwidth mesh networks for cloud-scale deployments.
Critical Thinking: The ability to explain not just how a system works, but also how architectural decisions affect the total cost of ownership for data centers or safety margins in automotive.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- Master's or Ph.D. in Computer Engineering or related field
- 8+ years of experience in high-performance silicon architecture
- Extensive experience managing technical teams or complex projects
- Proficiency in cache coherency protocols and memory subsystems
- Significant experience building large-scale simulators in C++ or SystemC
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.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
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