We are now looking for a Deep Learning Architect, LLM Inference!
NVIDIA is at the forefront of the generative AI revolution. The Inference Benchmarking (IB) team specifically focuses on inference server performance optimization for Large Language Models (LLMs). If you're passionate about pushing the boundaries of GPU hardware and software performance and understand terms like disaggregated serving, data parallel attention, MoE, Qwen3.5, DeepSeek, GPT-OSS, then this is a great role for you!
What you'll be doing:
You will do workload characterization of the latest LLMs and inference servers like vLLM, SGLang and TRT-LLM to ensure NVIDIA maintains its leadership position.
Join forces with the performance marketing team to build engaging content, including blog posts and updates to InferenceX to highlight NVIDIA's outstanding inference achievements.
Collaborate with engineers from AI startup companies to establish standard benchmarking methodologies.
Develop a constantly evolving inference performance data results website.
Invent E2E profiling and analysis tools that you will use to keep up with the rapid pace of Generative AI.
Contribute to deep learning software projects, such as PyTorch, TRT-LLM, vLLM, and SGLang to drive advancements in the field.
Verify that new GPU product launches produce industry leading performance.
Collaborate across the company to guide the direction of inference serving, working with software, research, and product teams to ensure best-in-class performance.
Use the latest coding agents and inference technology to improve team efficiency.
What we need to see:
Master's or PhD degree in Computer Science, Computer Engineering, related fields, or equivalent experience.
Relevant software development experience.
Detailed knowledge of deep learning inference serving, PyTorch programming, profiling, and compiler optimizations.
Experience developing client server LLM applications with OpenAI API or MCP and identifying performance bottlenecks.
Solid understanding of CPU and GPU microarchitecture and performance characteristics.
Experience with complex software projects like frameworks, compilers, or operating systems.
Demonstrated proficiency with the latest AI coding agents like Claude Code, Codex, and Cursor
Excellent written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment.
Ways to stand out from the crowd:
Demonstrate a drive to continuously improve software and hardware performance.
Showcase examples of novel use cases for agentic AI tools in the workplace.
Experience with databases and visualization tools will set you apart.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have a team of highly skilled and motivated individuals who excel in their work. If you have a proactive and independent approach, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.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 PhD in Computer Science or related field
- Relevant software development experience
- Knowledge of deep learning inference serving and PyTorch programming
- Experience with client server LLM applications
- Understanding of CPU and GPU architecture
- Experience with software projects like frameworks or operating systems
- Proficiency with AI coding agents like Claude Code and Codex
- Excellent communication skills
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.”
