Senior High-Performance LLM Training Engineer

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA Gruppe is looking for an expert to optimize AI training workloads on cutting-edge hardware and software platforms. Applicants should have a PhD in a relevant field, extensive experience in deep learning, and strong programming skills in C++, Python, and CUDA.

The position offers a competitive salary range of $184,000 to $287,500 for Level 4 employees, and $224,000 to $356,500 for Level 5, along with equity and benefits.

Qualifications

• 5+ years of experience with a PhD, or 8+ years with an MS.
• Strong background in deep learning and neural networks.
• Deep understanding of computer architecture and GPU fundamentals.
• Experience analyzing and tuning performance at multiple levels.

Responsibilities

• Analyze, profile, and optimize AI training workloads.
• Implement software across NVIDIA's deep learning platform.
• Support NVIDIA submissions to MLPerf Training benchmarks.
• Build tools for workload analysis and optimization.

Skills

Deep learning

Neural networks

Programming in C++

Programming in Python

CUDA programming

Education

PhD in Computer Science, Electrical Engineering or Computer Engineering

MS or equivalent experience

Tools

NVIDIA deep learning platform stack

Job description

What you will be doing:

• Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
• Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state‑of‑the‑art neural networks.
• Implement production‑quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
• Build and support NVIDIA submissions to the MLPerf Training benchmark suite.
• Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
• Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

• PhD in Computer Science, Electrical Engineering or Computer Engineering and 5+ years; or MS (or equivalent experience) and 8+ years of meaningful work experience.
• Strong background in deep learning and neural networks, in particular training.
• A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.
• Proven experience analyzing and tuning application performance & processor and system‑level performance modelling.
• Programming skills in C++, Python, and CUDA.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level4, and 224,000 USD - 356,500 USD for Level5. You will also be eligible for equity and benefits.

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.