... NVIDIA's latest hardware and software innovations. • Influence the design of new hardware ... Required : • BS or equivalent experience in Computer Science, Electrical Engineering, or a ...
... NVIDIA's latest hardware and software innovations. • Influence the design of new hardware ... Required : • BS or equivalent experience in Computer Science, Electrical Engineering, or a ...
Solutions Architect - NVIDIA Cloud Partners
Santa Clara, CA · On-site
$74.50 - $102.25/hr
Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
Solutions Architect - NVIDIA Cloud Partners
Santa Clara, CA · On-site
$74.50 - $102.25/hr
Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
AI Hardware Architect
Austin, TX · On-site
NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Nvidia solutions. * Guide customers and firmware engineers to extract the most performance from ...
AI Hardware Architect
Austin, TX · On-site
NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Nvidia solutions. * Guide customers and firmware engineers to extract the most performance from ...
... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ... Location: US-MA-Bedford-Massachusetts (Werfen) Time Type: Full time Job Category: Engineering ...
... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ... Location: US-MA-Bedford-Massachusetts (Werfen) Time Type: Full time Job Category: Engineering ...
Hardware Engineer
San Francisco, CA · On-site
$145K - $192K/yr
... hardware engineer to help define system architecture, test and integrate modules into the system ... High performance embedded compute, in particular Nvidia Jetson lineup * High and low speed ...
Hardware Engineer
San Francisco, CA · On-site
$145K - $192K/yr
... hardware engineer to help define system architecture, test and integrate modules into the system ... High performance embedded compute, in particular Nvidia Jetson lineup * High and low speed ...
Senior Hardware Systems Engineer - LPU Platform Pathfinding
Santa Clara, CA · On-site
$129K - $173K/yr
At NVIDIA, we lead the world in accelerated computing-driving progress in AI, graphics, and highperformance systems. As a Senior Hardware Systems Engineer, you will help build nextgeneration LPU ...
Senior Hardware Systems Engineer - LPU Platform Pathfinding
Santa Clara, CA · On-site
$129K - $173K/yr
At NVIDIA, we lead the world in accelerated computing-driving progress in AI, graphics, and highperformance systems. As a Senior Hardware Systems Engineer, you will help build nextgeneration LPU ...
... and hardware platforms. We're looking to grow our company, and build our teams with the smartest ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
... and hardware platforms. We're looking to grow our company, and build our teams with the smartest ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
Solutions Architect - NVIDIA Cloud Partners
$65 - $89/hr
Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
Solutions Architect - NVIDIA Cloud Partners
$65 - $89/hr
Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Senior Solutions Architect, NVIDIA Cloud Partners
Santa Clara, CA · On-site
$74.50 - $102.25/hr
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Senior Solutions Architect, NVIDIA Cloud Partners
Santa Clara, CA · On-site
$74.50 - $102.25/hr
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Senior Solutions Architect, NVIDIA Cloud Partners
New York, NY · On-site +1
$69.50 - $95.25/hr
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Senior Solutions Architect, NVIDIA Cloud Partners
New York, NY · On-site +1
$69.50 - $95.25/hr
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
... and hardware platforms. We're looking to grow our company, and build our teams with the smartest ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
... and hardware platforms. We're looking to grow our company, and build our teams with the smartest ... What we need to see: * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or ...
Senior Hardware Systems Engineer
Santa Clara, CA · On-site
$129K - $173K/yr
We are looking to hire a Hardware Systems Engineer who will work in the test solutions group at ... NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ...
Senior Hardware Systems Engineer
Santa Clara, CA · On-site
$129K - $173K/yr
We are looking to hire a Hardware Systems Engineer who will work in the test solutions group at ... NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ...
Senior Hardware Systems Engineer - LPU Platform Pathfinding
Santa Clara, CA · On-site
$129K - $173K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... As a Senior Hardware Systems Engineer, you will help build next-generation LPU (Language Processing ...
Senior Hardware Systems Engineer - LPU Platform Pathfinding
Santa Clara, CA · On-site
$129K - $173K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... As a Senior Hardware Systems Engineer, you will help build next-generation LPU (Language Processing ...
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure ...
As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure ...
As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure ...
As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure ...
Senior Solutions Architect, NVIDIA Cloud Partners
Santa Clara, CA · On-site
$74.50 - $102.25/hr
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
Senior Solutions Architect, NVIDIA Cloud Partners
Santa Clara, CA · On-site
$74.50 - $102.25/hr
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions. * Partner with SAs, Account Managers, Engineering, Product, and ...
As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure ...
As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure ...
Full Time Nvidia Hardware Engineer information
See salary details
$51K - $64.2K
0% of jobs
$64.2K - $77.5K
2% of jobs
$77.5K - $90.7K
5% of jobs
$90.7K - $103.9K
7% of jobs
$103.9K - $117.1K
6% of jobs
$125.4K is the 25th percentile. Wages below this are outliers.
$117.1K - $130.4K
6% of jobs
$130.4K - $143.6K
5% of jobs
$143.6K - $156.8K
5% of jobs
The median wage is $159.6K / yr.
$156.8K - $170K
57% of jobs
$170K - $183.3K
3% of jobs
$183.3K - $196.5K
2% of jobs
$51K
$146.2K
$196.5K
How much do full time nvidia hardware engineer jobs pay per year?
As of Aug 21, 2026, the average yearly pay for full time nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.
What is the difference between Full Time Nvidia Hardware Engineer vs Nvidia Hardware Technician?
| Aspect | Full Time Nvidia Hardware Engineer | Nvidia Hardware Technician |
|---|---|---|
| Required Credentials | Bachelor's or higher in Electrical Engineering, Computer Engineering, or related field | Technical diploma or associate degree in electronics or related field |
| Work Environment | Design labs, R&D centers, collaborative engineering teams | Manufacturing floors, testing labs, maintenance settings |
| Employer & Industry Usage | Designing and developing new hardware products for Nvidia | Maintaining, troubleshooting, and repairing Nvidia hardware products |
Full Time Nvidia Hardware Engineers focus on designing and developing new hardware components, requiring advanced degrees and working in R&D environments. Nvidia Hardware Technicians handle maintenance and repairs, often with technical diplomas, working in manufacturing or testing settings. Both roles are essential in Nvidia's hardware lifecycle but differ in responsibilities and qualifications.
What cities are hiring for Full Time Nvidia Hardware Engineer jobs?
Cities with the most Full Time Nvidia Hardware Engineer job openings:
What are the most commonly searched types of Nvidia Hardware Engineer jobs?
The most popular types of Nvidia Hardware Engineer jobs are:
What states have the most Full Time Nvidia Hardware Engineer jobs?
States with the most job openings for Full Time Nvidia Hardware Engineer jobs include:
Full-time
Re-posted 19 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 245 rated software companies
Job description
Job Summary:
NVIDIA is a leading company in AI technology, and they are seeking a Senior Performance Engineer to enhance their Deep Learning performance engineering team. The role involves building and optimizing libraries and tools for Deep Learning applications, collaborating on systems research, and engaging with the open-source community.
Responsibilities:
• Build and support Transformer Engine, the open-source library for accelerating the training of Large Language Models.
• Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc.
• Implement, benchmark, and optimize new Deep Learning models such as LLMs straight out of groundbreaking research to scale efficiently on NVIDIA GPUs and systems.
• Build and contribute to NVIDIA submissions on community benchmarks such as MLPerf.
• Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA’s latest hardware and software innovations.
• Influence the design of new hardware generations and core platform software components for NVIDIA hardware and systems.
Qualifications:
Required:
• BS or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in C++ and Python programming.
• Strong background, experience, or coursework in parallel systems programming, preferably on GPUs.
• Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems.
• Proven experience in developing large software projects.
• Excellent verbal and written communication skills.
Preferred:
• Experience in PyTorch, JAX, or any other DL framework.
• Experience with performance analysis, profiling, and code optimization techniques, especially with multi-GPU or multi-node systems.
• Knowledge of modern LLM architectures, attention mechanisms, and/or low-level DL libraries such as cuBLAS, cuDNN, and cuSOLVER.
• Experience in writing GPU kernels using any of - CUDA, OpenAI Triton, CuTeDSL, Pallas, or other similar libraries.
• Any past contributions to the open source community and/or experience working with multidisciplinary teams also showcase readiness for the team's responsibilities.
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 a leading company in AI technology, and they are seeking a Senior Performance Engineer to enhance their Deep Learning performance engineering team. The role involves building and optimizing libraries and tools for Deep Learning applications, collaborating on systems research, and engaging with the open-source community.
Responsibilities:
• Build and support Transformer Engine, the open-source library for accelerating the training of Large Language Models.
• Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc.
• Implement, benchmark, and optimize new Deep Learning models such as LLMs straight out of groundbreaking research to scale efficiently on NVIDIA GPUs and systems.
• Build and contribute to NVIDIA submissions on community benchmarks such as MLPerf.
• Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA’s latest hardware and software innovations.
• Influence the design of new hardware generations and core platform software components for NVIDIA hardware and systems.
Qualifications:
Required:
• BS or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in C++ and Python programming.
• Strong background, experience, or coursework in parallel systems programming, preferably on GPUs.
• Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems.
• Proven experience in developing large software projects.
• Excellent verbal and written communication skills.
Preferred:
• Experience in PyTorch, JAX, or any other DL framework.
• Experience with performance analysis, profiling, and code optimization techniques, especially with multi-GPU or multi-node systems.
• Knowledge of modern LLM architectures, attention mechanisms, and/or low-level DL libraries such as cuBLAS, cuDNN, and cuSOLVER.
• Experience in writing GPU kernels using any of - CUDA, OpenAI Triton, CuTeDSL, Pallas, or other similar libraries.
• Any past contributions to the open source community and/or experience working with multidisciplinary teams also showcase readiness for the team's responsibilities.
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