Senior High-Performance LLM Training Engineer

4 Weeks ago • 8-10 Years • Full Stack Development • Research & Development • Artificial Intelligence • $184,000 PA - $356,500 PA

Job Summary

Job Description

NVIDIA seeks a Senior High-Performance LLM Training Engineer to optimize LLM training workloads on thousands of GPUs. Responsibilities include performance analysis, optimization of AI training on innovative hardware and software platforms (PyTorch, JAX), implementing production-quality software across NVIDIA's deep learning platform, contributing to the MLPerf Training benchmark, and building tools for workload analysis. The role involves working with cutting-edge neural networks and shaping hardware roadmaps for next-generation GPUs. This position requires deep learning, computer architecture, and programming expertise (C++, Python, CUDA).
Must have:
  • PhD/MS in CS/EE/CE & relevant experience
  • Deep learning & neural network expertise
  • GPU architecture knowledge
  • Performance analysis & tuning skills
  • C++, Python, CUDA programming
Perks:
  • Highly competitive salary
  • Comprehensive benefits package
  • Collaboration with top talent
  • Innovative work environment

Job Details

We are now looking for a Senior High-Performance LLM Training Engineer!

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA’s high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.

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.

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.

Widely considered to be one of tech's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Additionally, this opportunity offers you the ability to collaborate with some of the most forward-thinking and hard-working people in the world, shaping the future of AI in a creative and autonomous work environment that encourages innovation. If you're excited to work across the full hardware & software stack—from GPU architecture to application code—to achieve optimal performance, we want to hear from you!

#LI-Hybrid

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Similar Jobs

ByteDance - Machine Learning Engineer Intern (Global E-commerce Risk Control) - 2025 Summer (MS)

ByteDance

San Jose, California, United States (On-Site)
6 Months ago
Trend Micro - NLP / Prompt Engineer (VicOne_Automotive Security)

Trend Micro

Taipei City, Taiwan (On-Site)
7 Months ago
ByteDance - Video Analysis and Quality Algorithm Engineer

ByteDance

Seattle, Washington, United States (On-Site)
2 Weeks ago
NVIDIA - Senior AI Training Performance Engineer

NVIDIA

Shanghai, Shanghai, China (Hybrid)
3 Months ago
CynLr - Software Engineer - GPU performance

CynLr

Bengaluru, Karnataka, India (On-Site)
6 Months ago
Google - Software Engineer II, Multiplatform, Server Driven UI

Google

Mexico City, Mexico City, Mexico (On-Site)
2 Weeks ago
Globalization Partners - Principal Solution Architect

Globalization Partners

United States (Remote)
2 Months ago
ION - Lead Software Engineer, Italy

ION

Pisa, Tuscany, Italy (On-Site)
6 Months ago
Ness Digital - Java & React Engineer II

Ness Digital

Timișoara, Timiș, Romania (Remote)
2 Months ago
N-iX - Senior Full-Stack Engineer

N-iX

Ukraine (Remote)
2 Weeks ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Google - Research Manager, Neural Rendering, Project Starline

Google

Seattle, Washington, United States (On-Site)
2 Days ago
Monzo - Senior Machine Learning Scientist

Monzo

London, England, United Kingdom (Hybrid)
7 Hours ago
Playtika - Experienced Data Scientist

Playtika

Israel (On-Site)
2 Months ago
Playrix - Feature Owner (LiveOps)

Playrix

Armenia (Remote)
6 Months ago
ByteDance - Software Engineer, Machine Learning Training

ByteDance

Singapore (On-Site)
2 Weeks ago
Ello - Tech Lead, Machine Learning

Ello

San Francisco, California, United States (On-Site)
1 Month ago
Ello - Tech Lead, GenAI & Machine Learning

Ello

San Francisco, California, United States (On-Site)
2 Weeks ago
NVIDIA - Deep Learning Intern - Fall 2025

NVIDIA

Shanghai, Shanghai, China (On-Site)
2 Weeks ago
Belka Games - Senior 2D Artist (RnD)

Belka Games

(Remote)
6 Hours ago
Playrix - SDET (Software Development Engineer in Test)

Playrix

Ireland (Remote)
1 Month ago

Get notifed when new similar jobs are uploaded

Jobs in Santa Clara, California, United States

Axon - Director of Enterprise Sales

Axon

Seattle, Washington, United States (Remote)
2 Months ago
Epic Games - Senior Audio Designer

Epic Games

Cary, North Carolina, United States (On-Site)
3 Months ago
Google - Senior Software Engineer, LLM Code Agents

Google

Mountain View, California, United States (On-Site)
2 Days ago
Life church - Network Engineer

Life church

Edmond, Oklahoma, United States (On-Site)
6 Months ago
Electronic Arts - Senior Director, Global Compensation

Electronic Arts

Austin, Texas, United States (On-Site)
3 Weeks ago
The Walt Disney Company - Manager, Database Reliability Engineering

The Walt Disney Company

California, United States (On-Site)
2 Weeks ago
Fandom - Sr Client Strategist - (CPG, QSR + RETAIL)

Fandom

United States (Remote)
1 Month ago
Mercury - Internal Communications Specialist

Mercury

San Francisco, California, United States (On-Site)
18 Hours ago
Plug Power - Field Service Technician

Plug Power

Menomonie, Wisconsin, United States (On-Site)
19 Hours ago
Nightfall - Staff Software Engineer

Nightfall

San Francisco, California, United States (Hybrid)
21 Hours ago

Get notifed when new similar jobs are uploaded

Full Stack Development Jobs

Toptracer - Senior Software Engineer

Toptracer

Stockholm, Stockholm County, Sweden (Hybrid)
1 Month ago
Epic Games - Senior Web Programmer

Epic Games

Montreal, Quebec, Canada (On-Site)
3 Months ago
Warner Bros Games - Software Engineer II - Observability - AWS

Warner Bros Games

Bengaluru, Karnataka, India (Hybrid)
4 Weeks ago
Epic Games - Senior Software Engineer, Developer Relations (UE China)

Epic Games

Shanghai, Shanghai, China (On-Site)
3 Months ago
Google - Senior Software Engineer, Machine Learning, Core

Google

Sunnyvale, California, United States (On-Site)
2 Weeks ago
Playkot - Full-Stack Developer

Playkot

Belgrade, Serbia (Remote)
2 Weeks ago
Nagarro - Principal Engineer, Hybris

Nagarro

India (Remote)
6 Months ago
Google - Software Engineer, People with Disabilities

Google

(On-Site)
5 Months ago
UXBERT Labs - Senior Technical Lead

UXBERT Labs

Riyadh, Riyadh Province, Saudi Arabia (On-Site)
3 Months ago
Google - Software Engineer III, Full Stack, Learning and Education

Google

Mexico City, Mexico City, Mexico (On-Site)
2 Weeks ago

Get notifed when new similar jobs are uploaded

About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Massachusetts, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Texas, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (Hybrid)

Santa Clara, California, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by NVIDIA

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug