This role focuses on optimizing NVIDIA's high-performance LLM software stack and involves performance analysis, optimization, and the implementation of software for deep learning platforms.
This role focuses on optimizing NVIDIA's high-performance LLM software stack and involves performance analysis, optimization, and the implementation of software for deep learning platforms.
NVIDIA's deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world's largest ...
NVIDIA's deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world's largest ...
... 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 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 ...
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 ...
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 ...
NVIDIA's deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world's largest ...
NVIDIA's deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world's largest ...
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 ...
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 ...
Senior Deep Learning Software Engineer, TensorRT Performance
Santa Clara, CA · Hybrid
$143K - $189K/yr
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
Senior Deep Learning Software Engineer, TensorRT Performance
Santa Clara, CA · Hybrid
$143K - $189K/yr
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
Senior Deep Learning Software Engineer, TensorRT Performance
Santa Clara, CA · On-site
$143K - $189K/yr
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
Senior Deep Learning Software Engineer, TensorRT Performance
Santa Clara, CA · On-site
$143K - $189K/yr
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
Deep Learning Software Engineer, TensorRT Performance - New College Grad 2026
Santa Clara, CA · On-site
$164K/yr
NVIDIA is seeking a Deep Learning Software Engineer, TensorRT Performance who is passionate about analyzing and improving the performance of NVIDIA's inference ecosystem. The role involves ...
Deep Learning Software Engineer, TensorRT Performance - New College Grad 2026
Santa Clara, CA · On-site
$164K/yr
NVIDIA is seeking a Deep Learning Software Engineer, TensorRT Performance who is passionate about analyzing and improving the performance of NVIDIA's inference ecosystem. The role involves ...
Deep Learning Software Engineer, TensorRT Performance - New College Grad 2026
Santa Clara, CA · On-site
$164K/yr
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
Deep Learning Software Engineer, TensorRT Performance - New College Grad 2026
Santa Clara, CA · On-site
$164K/yr
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for a Performance Architect for Deep Learning Software! NVIDIA is seeking ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for a Performance Architect for Deep Learning Software! NVIDIA is seeking ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
Deep Learning Kernel Software Performance Architect - New College Grad 2026
Santa Clara, CA · On-site
$196K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for a Performance Architect for Deep Learning Software! NVIDIA is seeking ...
Deep Learning Kernel Software Performance Architect - New College Grad 2026
Santa Clara, CA · On-site
$196K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for a Performance Architect for Deep Learning Software! NVIDIA is seeking ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
NVIDIA is seeking architects like you to help design hardware accelerator and processor ... As a member of our deep learning architecture team, you will contribute to features that help next ...
Deep Learning Engineer Blackstone Talent Group, an award-winning technology consulting and talent ... Deep knowledge of Nvidia edge device stack for running ML models and cuda know-how in terms ...
Deep Learning Engineer Blackstone Talent Group, an award-winning technology consulting and talent ... Deep knowledge of Nvidia edge device stack for running ML models and cuda know-how in terms ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
$17.50 - $23.50/hr
Our applied deep learning research team at NVIDIA has helped pioneer projects such as Megatron, MT-NLG, and DLSS. We build state-of-the-art foundation models and develop new methods to improve their ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
$17.50 - $23.50/hr
Our applied deep learning research team at NVIDIA has helped pioneer projects such as Megatron, MT-NLG, and DLSS. We build state-of-the-art foundation models and develop new methods to improve their ...
Entry Level Nvidia Deep Learning information
See salary details
$29.5K - $32.4K
2% of jobs
$32.4K - $35.3K
3% of jobs
$35.3K - $38.2K
2% of jobs
$38.2K - $41.1K
6% of jobs
$41.1K - $44K
11% of jobs
$44.2K is the 25th percentile. Wages below this are outliers.
$44K - $47K
17% of jobs
The median wage is $48.3K / yr.
$47K - $49.9K
19% of jobs
$52.3K is the 75th percentile. Wages above this are outliers.
$49.9K - $52.8K
18% of jobs
$52.8K - $55.7K
12% of jobs
$55.7K - $58.6K
7% of jobs
$58.6K - $61.5K
3% of jobs
$29.5K
$48.8K
$61.5K
How much do entry level nvidia deep learning jobs pay per year?
As of Jun 20, 2026, the average yearly pay for entry level nvidia deep learning in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Nvidia Deep Learning jobs? The most popular types of Nvidia Deep Learning jobs are:
Full-time
Posted 7 days ago
Job description
Job Summary:
NVIDIA is seeking a High-Performance LLM Training Engineer to improve the efficiency of LLM training workloads. This role focuses on optimizing NVIDIA’s high-performance LLM software stack and involves performance analysis, optimization, and the implementation of software for deep learning platforms.
Responsibilities:
• 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.
Qualifications:
Required:
• MS in Computer Science, Electrical Engineering or Computer Engineering (or equivalent 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 modeling.
• Programming skills in C++, Python, and CUDA.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is seeking a High-Performance LLM Training Engineer to improve the efficiency of LLM training workloads. This role focuses on optimizing NVIDIA’s high-performance LLM software stack and involves performance analysis, optimization, and the implementation of software for deep learning platforms.
Responsibilities:
• 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.
Qualifications:
Required:
• MS in Computer Science, Electrical Engineering or Computer Engineering (or equivalent 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 modeling.
• Programming skills in C++, Python, and CUDA.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993