NVIDIA is developing processor and system architectures that accelerate deep learning on edge devices, workstations, and data center GPUs for a variety of applications including automotive, robotics, large language models and AI generative models. We are looking for an expert deep learning system performance architect to join our deep learning modelling, performance optimization, projections, and analysis effort. In this position, you will have the chance to optimize deep learning hardware and software architecture and make the significant impact in a dynamic technology focused company
What you’ll be doing:
Benchmark and analyze performance of various machine learning/deep learning workloads across GPU- and NPU-based architectures
Build and validate performance models, and deliver performance projections and insights for deep learning (LLM/GenAI) workloads on emerging architectures
Identify architecture, software and system performance bottlenecks and propose actionable optimizations
Explore and evaluate new software/hardware capabilities and translate them into measureable application gains
Leverage AI agents to accelerate performance investigation and engineering workflows
What we need to see:
BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
3+ years of working experience in relevant directions will be a plus
Familiar with GPU or Accelerator-based deep learning platform and software stack
A strong background in computer architecture
Familiar with LLM or generative AI deep learning algorithms and kernel optimizations
Experience in system architecture design and performance optimization
Familiar with machine learning and deep learning frameworks
Hands-on experience using AI agents to assist daily engineering work
Skills Required
- BSc, MS, or PhD in CS, EE, Math, or related discipline
- 3+ years of relevant working experience
- Familiarity with GPU- or accelerator-based deep learning platforms and software stacks
- Strong background in computer architecture
- Familiarity with LLM or generative AI algorithms and kernel optimizations
- Experience in system architecture design and performance optimization
- Familiarity with machine learning and deep learning frameworks
- Hands-on experience using AI agents to assist engineering workflows
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 — 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.
-
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.
-
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.”
